Xiaoyu Che

3.2k citations
38 papers · 1.9k indexed · 2 hit papers · h-index 19

Xiaoyu Che

37 papers receiving 1.8k citations

Hit Papers

Global patterns in coronavirus diversity266201420262018202250100150200250

Peers

Xiaoyu Che
Comparison fields: 5 of 131
  • Infectious Diseases 636
  • Psychiatry and Mental health 442
  • Biological Psychiatry 71
  • Parasitology 173
  • Animal Science and Zoology 191
Replace Nick Andrews with:
Nick Andrews United Kingdom
Edmond J. Remarque Netherlands
Brent L. Williams United States
Chong Tin Tan Malaysia
Donna M. Murasko United States
Barbara Cameron Australia
Margarida Correia‐Neves Portugal
Takahide Taniguchi Japan
Nuno Sepúlveda Portugal
Tanel Mahlakõiv Germany
Xiaoyu Che relative to Nick Andrews United Kingdom Nick Andrews's profile →
Citations per field
00.5×4.0×
Nick Andrews · 1×
Citations per year

Countries citing papers authored by Xiaoyu Che

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20252
3 20251
4 202311
5 202314
6 20235
7 202320
8 20239
9 202221
10 202125
11 202034
12 20202
13 202013
14 201968
15 201963
16 201886
17 2017126
18 201555
19 201533
20 201578

About Xiaoyu Che

Xiaoyu Che is a scholar working on Parasitology, Psychiatry and Mental health, Infectious Diseases, Biological Psychiatry and Statistics and Probability, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Viral Infections and Vectors (5 papers), Autism Spectrum Disorder Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Vector-borne infectious diseases (3 papers), Bartonella species infections research (3 papers), Long-Term Effects of COVID-19 (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Infectious Diseases (636 citations), Psychiatry and Mental health (442 citations), Biological Psychiatry (71 citations), Parasitology (173 citations) and Animal Science and Zoology (191 citations). Xiaoyu Che has collaborated with scholars based in United States, China and Norway. Frequent co-authors include W. Ian Lipkin, Bohyun Lee, Mady Hornig, Simon H. Williams, Anthony L. Komaroff, José G. Montoya, Susan Levine, Daniel L. Peterson, Lucinda Bateman and Nancy G. Klimas. Their work appears in journals such as mBio, Scientific Reports, Journal of Translational Medicine, mSphere and Molecular Psychiatry.

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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