Janey Wang

16 papers receiving 589 citations

Peers

Janey Wang
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 132
  • Health Information Management 29
  • Physiology 100
  • Nutrition and Dietetics 49
  • Computational Mathematics 2
Replace Bratati Kahali with:
Bratati Kahali India
Karina Banasik Denmark
Tibor Kesztyüs Germany
M. S. B. Huda United Kingdom
Meena N. Shankar United States
Ann‐Margret Ervin United States
Jong-Koo Kim South Korea
Taraneh Soleymani United States
Adam Pleister United States
Noemi Bitterman Israel
Janey Wang relative to Bratati Kahali India Bratati Kahali's profile →
Citations per field
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Citations per year

Countries citing papers authored by Janey Wang

Since Specialization
Citations

This map shows the geographic impact of Janey Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Janey Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janey Wang more than expected).

Fields of papers citing papers by Janey Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janey Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Janey Wang. The network helps show where Janey Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Janey Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janey Wang Line = papers co-authored together Janey Wang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999206
2 2012197
3 201186
4 200023
5 200419
6
Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects.
201116
7 202115
8 202110
9 20127
10 20236
11 20206
12
Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects
20136
13 20222
14 20222
15 20071
16 20001
17 20240
18 20230

About Janey Wang

Janey Wang is a scholar working on Molecular Biology, Physiology, Oncology, General Health Professions and Endocrine and Autonomic Systems, having authored 18 papers that have together received 603 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers), Protease and Inhibitor Mechanisms (2 papers), Regulation of Appetite and Obesity (2 papers), Diet and metabolism studies (2 papers), Stress Responses and Cortisol (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (132 citations), Health Information Management (29 citations), Physiology (100 citations), Nutrition and Dietetics (49 citations) and Computational Mathematics (2 citations). Janey Wang has collaborated with scholars based in United States, Japan and Puerto Rico. Frequent co-authors include Peter T. Fox, Srikanth Mahankali, Yiqiong Pu, Masafumi Matsuda, Jia Gao, Archana Mahankali, Ralph A. DeFronzo, Jihad S. Obeid, José G. Conde and S Banks. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of the American Medical Informatics Association, Neurosurgery, Genetics in Medicine and Pediatric Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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