Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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
4 citing papers in PubMed, 11 citations in OpenAlex.
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
10 authors at 4 institutions in 1 country.
Jae Won YunDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. jwyunmd@gmail.com.ORCID 0000-0002-9029-8036
Yoon Kyung BaeDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. bab1825@gmail.com.
So Yeong ChoSingle Cell Network Research Center, Sungkyunkwan University of Medicine, Suwon 16419, Korea. soyeong159@naver.com.
Harim KooDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. guhalim@naver.com.
Hee-Jin KimDepartment of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea. heejinkim@skku.edu.
Do-Hyun NamDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. dhns.nam@samsung.com.
Sun-Hee KimDepartment of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea. sunnyhk@skku.edu.
Sejong ChunDepartment of Laboratory Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Korea. sjchun79@jnu.ac.kr.
Kyeung Min JooDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. kmjoo@skku.edu.ORCID 0000-0003-2750-405X
Woong-Yang ParkDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea. woongyang.park@samsung.com.
Samsung (South Korea) · KRSamsung Medical Center · KRChonnam National University Hospital · KRSungkyunkwan University · KR
Funding
National Research Foundation of Korea NRF-2016R1A5A2945889
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.
Elucidation of Novel Therapeutic Targets for Acute Myeloid Leukemias with · full record | OpenQuestion