Xuchu Que

3.1k citations
35 papers · 2.0k · h-index 24

Impact in

  • Parasitology top 0.5%
    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies
    • Amoebic Infections and Treatments

Papers in

Xuchu Que

35 papers receiving 1.9k citations

Peers

Xuchu Que
Comparison fields: 5 of 104
  • Parasitology 659
  • Infectious Diseases 554
  • Immunology 616
  • Endocrinology 61
  • Epidemiology 358
Replace Michael E. Wiebe with:
Michael E. Wiebe United States
Elizabeth A. Wohlfert United States
Yoichi Maekawa Japan
George A. DosReis Brazil
Baidong Hou China
Liliane Martins dos Santos Brazil
Valérie S. Zimmermann France
Fabienne Tacchini‐Cottier Switzerland
Rebecca B. Blank United States
Pierre‐François Piguet Switzerland
Xuchu Que relative to Michael E. Wiebe United States Michael E. Wiebe's profile →
Citations per field
00.5×4.7×
Michael E. Wiebe · 1×
Citations per year

Countries citing papers authored by Xuchu Que

Since Specialization
Citations

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

Fields of papers citing papers by Xuchu Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011485
2 2000203
3 2019156
4 200093
5 200282
6 199372
7 200260
8 199756
9 199854
10 201850
11 201348
12 200645
13 201444
14 201243
15 200343
16 200841
17 199639
18 201837
19 201834
20 199133

About Xuchu Que

Xuchu Que is a scholar working on Parasitology, Infectious Diseases, Immunology, Surgery and Molecular Biology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (13 papers), Parasitic Infections and Diagnostics (13 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Toxoplasma gondii Research Studies (5 papers), Herpesvirus Infections and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Parasitology (659 citations), Infectious Diseases (554 citations), Immunology (616 citations), Endocrinology (61 citations) and Epidemiology (358 citations). Xuchu Que has collaborated with scholars based in United States, Austria and Denmark. Frequent co-authors include Sharon L. Reed, Joseph L. Witztum, Sotirios Tsimikas, Ayelet Gonen, Christoph J. Binder, Karsten Hartvigsen, Cody J. Diehl, Philipp Wiesner, Erica N. Montano and Longhou Fang. Their work appears in journals such as Molecular and Biochemical Parasitology, Infection and Immunity, Archives of Medical Research, Experimental Parasitology and Journal of Lipid 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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