Janey Wang

16 papers receiving 585 citations

Peers

Janey Wang
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 152
  • Health Information Management 47
  • Physiology 131
  • Nutrition and Dietetics 60
  • Computational Mathematics 2
Replace Neville W. Goodman with:
Neville W. Goodman United Kingdom
Tibor Kesztyüs Germany
R.S. Weinstock United States
Andrew P. Demidowich United States
Yao Hao Teo Singapore
Karina Banasik Denmark
Nataša Bratina Slovenia
Ronja Foraita Germany
Amber A. van der Heijden Netherlands
Börge Schmidt Germany
Janey Wang relative to Neville W. Goodman United Kingdom Neville W. Goodman'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 201185
4 200023
5 200419
6
Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects.
201116
7 202114
8 20219
9 20127
10 20236
11
Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects
20136
12 20206
13 20222
14 20222
15 20071
16 20001
17 20240
18 20230

About Janey Wang

Janey Wang is a scholar working on Endocrine and Autonomic Systems, Toxicology, Behavioral Neuroscience, Health Information Management and Biophysics, having authored 18 papers that have together received 600 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Peptidase Inhibition and Analysis (3 papers), Protease and Inhibitor Mechanisms (2 papers), Genomics and Rare Diseases (2 papers), Regulation of Appetite and Obesity (2 papers), Diet and metabolism studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (152 citations), Health Information Management (47 citations), Physiology (131 citations), Nutrition and Dietetics (60 citations) and Computational Mathematics (2 citations). Janey Wang has collaborated with scholars based in United States, Puerto Rico and Japan. Frequent co-authors include Peter T. Fox, Srikanth Mahankali, Ralph A. DeFronzo, Jia Gao, Masafumi Matsuda, Yiqiong Pu, Archana Mahankali, Jihad S. Obeid, Catherine A. McGraw and José G. Conde. Their work appears in journals such as Neurosurgery, Magnetic Resonance in Medicine, Genetics in Medicine, Journal of the American Medical Informatics Association 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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