Yingda Wang

681 citations
24 papers · 523 · h-index 12

Impact in

Papers in

    • Vibrio bacteria research studies 4
    • Diabetes and associated disorders 4
    • Genetics and Neurodevelopmental Disorders 4

Yingda Wang

23 papers receiving 512 citations

Peers

Yingda Wang
Comparison fields: 5 of 80
  • Nutrition and Dietetics 114
  • Genetics 145
  • Surgery 139
  • Molecular Biology 214
  • Hematology 29
Replace Jules Gilet with:
Jules Gilet France
Yoko M. Ambrosini United States
Yan Hua China
Vikash Chandra India
L. Knott United Kingdom
Hilary A. MacQueen United Kingdom
Aurora Meucci Italy
Ye Seul Son South Korea
Dolph D. Ellefson United States
Yingda Wang relative to Jules Gilet France Jules Gilet's profile →
Citations per field
00.5×2×3.2×
Jules Gilet · 1×
Citations per year

Countries citing papers authored by Yingda Wang

Since Specialization
Citations

This map shows the geographic impact of Yingda 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 Yingda Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingda Wang more than expected).

Fields of papers citing papers by Yingda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yingda 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 Yingda Wang. The network helps show where Yingda Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yingda 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 Yingda Wang Line = papers co-authored together Yingda Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009154
2 201267
3 200666
4 202026
5 201024
6 200623
7 200117
8 202416
9 200716
10 200815
11 202313
12 201112
13 201112
14 202310
15 20029
16 20259
17 20229
18 20168
19 20225
20 20254

About Yingda Wang

Yingda Wang is a scholar working on Endocrinology, Genetics, Immunology, Molecular Biology and Surgery, having authored 24 papers that have together received 523 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Aquaculture disease management and microbiota (5 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Vibrio bacteria research studies (4 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Nutrition and Dietetics (114 citations), Genetics (145 citations), Surgery (139 citations), Molecular Biology (214 citations) and Hematology (29 citations). Yingda Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Richard M. O’Brien, James K. Oeser, John C. Hutton, Lynley D. Pound, Owen P. McGuinness, Suparna A. Sarkar, Catherine E. Lee, Richard L. Printz, David R. Powell and Adisak Suwanichkul. Their work appears in journals such as Diabetes, Biochemical Journal, Aquaculture, Journal of Molecular Endocrinology and Advanced Science.

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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