Yaping Gu

1.5k citations
33 papers · 944 · h-index 16

Impact in

Papers in

Yaping Gu

33 papers receiving 932 citations

Peers

Yaping Gu
Comparison fields: 5 of 67
  • Neurology 309
  • Nutrition and Dietetics 244
  • Molecular Biology 625
  • Public Health, Environmental and Occupational Health 221
  • Nephrology 50
Replace Cecília J. G. de Almeida with:
Cecília J. G. de Almeida Brazil
Aída Castillo Mexico
M D Sjaastad United States
Xiu Luo China
Karim Tarik Adjou France
Manish Sharma United States
Neil McLennan United Kingdom
Enrico Cancellotti United Kingdom
Xiaokun Liu China
Anna A. Müller Germany
Yaping Gu relative to Cecília J. G. de Almeida Brazil Cecília J. G. de Almeida's profile →
Citations per field
00.5×10×16.7×
Cecília J. G. de Almeida · 1×
Citations per year

Countries citing papers authored by Yaping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000155
2 2011102
3 200487
4 200287
5 200365
6 200363
7 201759
8 201642
9 200238
10 201734
11 200233
12 200824
13 201824
14 201919
15 201019
16 200419
17 202010
18 202310
19 200610
20
Epidemic and control of malaria in Jiangsu Province.
20096

About Yaping Gu

Yaping Gu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Neurology, Nutrition and Dietetics and Physiology, having authored 33 papers that have together received 944 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (11 papers), Malaria Research and Control (10 papers), Trace Elements in Health (6 papers), Alzheimer's disease research and treatments (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Mosquito-borne diseases and control (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Neurology (309 citations), Nutrition and Dietetics (244 citations), Molecular Biology (625 citations), Public Health, Environmental and Occupational Health (221 citations) and Nephrology (50 citations). Yaping Gu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Neena Singh, Ravi Shankar Mishra, Ruliang Li, Hisashi Fujioka, Pierluigi Gambetti, Man‐Sun Sy, Anil Kumar, Taocong Jin, Jun Cao and Mark L. Cohen. Their work appears in journals such as Malaria Journal, Journal of Biological Chemistry, Parasites & Vectors, PLoS neglected tropical diseases and Journal of Alzheimer s Disease.

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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