Evidence map›Paper›PMID 30881198›Full record

ArticleNew journal of physics2016

Focus on the emerging new fields of Network Physiology and Network Medicine.

Plamen Ch Ivanov, Kang K L Liu, Ronny P Bartsch

Open access · goldAbstract read
In one paragraph

Article in New journal of physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed
11.7field-weighted citation impact, top 1% of its field
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

120 citing papers in PubMed, 206 citations in OpenAlex.

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  16. How causal is "circular causality"?Frontiers in network physiology · 2026
    Article
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60 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 3 countries.

Plamen Ch IvanovKeck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, Massachusetts, USA.
Kang K L LiuKeck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, Massachusetts, USA.
Ronny P BartschDepartment of Physics, Bar-Ilan University, Ramat Gan, 5290002, Israel.
Boston University · USBar-Ilan University · IL

Funding

Self Organized Criticality as a new paradigm of sleep regulationR01HL098437 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI IVANOV, PLAMEN CHRISTOV · 2011 to 2015
$2.3M
NHLBI NIH HHS R01 HL098437
6 · The paper itself

Abstract

Despite the vast progress and achievements in systems biology and integrative physiology in the last decades, there is still a significant gap in understanding the mechanisms through which (i) genomic, proteomic and metabolic factors and signaling pathways impact vertical processes across cells, tissues and organs leading to the expression of different disease phenotypes and influence the functional and clinical associations between diseases, and (ii) how diverse physiological systems and organs coordinate their functions over a broad range of space and time scales and horizontally integrate to generate distinct physiologic states at the organism level. Two emerging fields, network medicine and network physiology, aim to address these fundamental questions. Novel concepts and approaches derived from recent advances in network theory, coupled dynamical systems, statistical and computational physics show promise to provide new insights into the complexity of physiological structure and function in health and disease, bridging the genetic and sub-cellular level with inter-cellular interactions and communications among integrated organ systems and sub-systems. These advances form first building blocks in the methodological formalism and theoretical framework necessary to address fundamental problems and challenges in physiology and medicine. This 'focus on' issue contains 26 articles representing state-of-the-art contributions covering diverse systems from the sub-cellular to the organism level where physicists have key role in laying the foundations of these new fields.

Identifiers

PMID30881198
PMCPMC6415921
OpenAlexW2530294125

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.