Yating Wan

2.5k citations
13 papers · 546 · h-index 9

Impact in

    • Tryptophan and brain disorders
    • Clostridium difficile and Clostridium perfringens research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

Yating Wan

12 papers receiving 543 citations

Peers

Yating Wan
Comparison fields: 5 of 89
  • Biological Psychiatry 55
  • Infectious Diseases 222
  • Gastroenterology 33
  • Molecular Biology 385
  • Ecology 80
Replace Dorottya Nagy‐Szakal with:
Dorottya Nagy‐Szakal United States
E. Kuijper Netherlands
Kelsey E. Huus Canada
Ahmadi-Vand Zahra Canada
Anissa M. Armet Canada
Victoria Pascal France
Martina Novotná United States
Ousman Bajinka China
Barbara B. Warner United States
Maria T Vakhitova Russia
Yating Wan relative to Dorottya Nagy‐Szakal United States Dorottya Nagy‐Szakal's profile →
Citations per field
00.5×2.7×
Dorottya Nagy‐Szakal · 1×
Citations per year

Countries citing papers authored by Yating Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yating Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2021161
2 2020106
3 202189
4 202083
5 202429
6 202226
7 202217
8 202412
9 20248
10 20246
11 20245
12 20203
13 20261

About Yating Wan

Yating Wan is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Physiology and Ecology, having authored 13 papers that have together received 546 indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Diet and metabolism studies (3 papers), Child Nutrition and Feeding Issues (2 papers), Bacteriophages and microbial interactions (2 papers), Autism Spectrum Disorder Research (2 papers), Liver Disease Diagnosis and Treatment (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Biological Psychiatry (55 citations), Infectious Diseases (222 citations), Gastroenterology (33 citations), Molecular Biology (385 citations) and Ecology (80 citations). Yating Wan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tao Zuo, Francis K.L. Chan, Siew C. Ng, Fen Zhang, Yun Kit Yeoh, Chun Pan Cheung, Paul K.S. Chan, Hui Zhan, Lin Zhang and Wenye Xu. Their work appears in journals such as Gastroenterology, Gut Microbes, Light Science & Applications, Trends in Molecular Medicine and Cell Host & Microbe.

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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