Evidence map›Paper›PMID 40520161›Full record

ArticleFrontiers in pharmacology2025

Analyzing collaboration dynamics in new drug R&D: A case study of two lipid-lowering drugs.

Nan Zhang, Huaqing Guo, Mengchao Zhang, Chen Wang, Ruonan Tian, Yan Shi, Zhiguang Duan

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nan ZhangDepartment of Health Administration, School of Management, Shanxi Medical University, Taiyuan, China.
Huaqing GuoDepartment of Humanistic Medicine, School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China.
Mengchao ZhangDepartment of Health Administration, School of Management, Shanxi Medical University, Taiyuan, China.
Chen WangDepartment of Humanistic Medicine, School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China.
Ruonan TianDepartment of Humanistic Medicine, School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China.
Yan ShiDepartment of Humanistic Medicine, School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China.
Zhiguang DuanDepartment of Health Administration, School of Management, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The advancements in biotechnology have ushered in a new age for drug development, characterized by increased collaborative efforts. Academic institutions, pharmaceutical firms, hospitals, foundations, and various other entities across different sectors are now joining forces more frequently to accelerate new drug innovation. However, there remains a limited understanding of how scientific and technological advancements are influencing these research collaborations. Methods: In this study, the development of two types of lipid-lowering drugs served as case studies. A detailed network analysis was performed at the levels of authors, institutions, and countries to quantify the evolutionary trends in research collaboration. Results: In the clinical research segment of the academic chain, papers resulting from collaborations tend to receive a higher citation count compared to other areas. However, there were notably fewer collaborative connections between authors transitioning from basic to developmental research and beyond. Collaboration models involving universities with enterprises, hospitals, or both are becoming more prevalent in biologics R&D. These models demonstrate effects of similarity and proximity. Additionally, there has been an increase in the involvement of developing countries in the research and development of new biologic drugs on a national and regional scale. Conclusion: New drug R&D research collaboration patterns evolve spontaneously with productivity updates. In the future, it is necessary to enhance the involvement of pharmaceutical companies in the basic research phase of new drug development, continuously strengthen the relationships across all segments of the academic chain, and thoroughly boost the efficiency of transforming new drug R&D into practical applications.

Indexed as

academic chaincollaborative networksnew drugresearch and developmentresearch management

Identifiers

PMID40520161
PMCPMC12162338

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