Xiaojun You

1.1k citations
52 papers · 859 · h-index 19

Impact in

Papers in

Xiaojun You

52 papers receiving 840 citations

Peers

Xiaojun You
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 629
  • Rheumatology 121
  • Neurology 113
  • Oncology 106
  • Immunology 76
Replace Deborah Dukovic with:
Deborah Dukovic United States
Orla Tuohy United Kingdom
Daniela Opriș-Belinski Romania
Hye Ra Jung South Korea
Roberto Maglie Italy
Gauruv Bose Canada
Evripidis Kaltsonoudis Greece
Federica Furini Italy
Deborah S. Goddard United States
C Danese Italy
Xiaojun You relative to Deborah Dukovic United States Deborah Dukovic's profile →
Citations per field
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Deborah Dukovic · 1×
Citations per year

Countries citing papers authored by Xiaojun You

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 201055
3 201147
4 201444
5 201542
6 201438
7 201335
8 201334
9 200733
10 201626
11 201523
12 201821
13 201721
14 201520
15 201120
16 201419
17 202019
18 202019
19 201618
20 201516

About Xiaojun You

Xiaojun You is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Immunology and Rheumatology, having authored 52 papers that have together received 859 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (32 papers), Cystic Fibrosis Research Advances (6 papers), Polyomavirus and related diseases (3 papers), Immunotherapy and Immune Responses (3 papers), Hemophilia Treatment and Research (2 papers), T-cell and B-cell Immunology (2 papers), Pediatric health and respiratory diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (629 citations), Rheumatology (121 citations), Neurology (113 citations), Oncology (106 citations) and Immunology (76 citations). Xiaojun You has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pamela Foulds, Robert Hyde, Richard A. Rudick, Elizabeth Fisher, Jack H. Simon, Robert Bermel, Serena Hung, Elizabeth Kinter, Bernd C. Kieseier and Douglas L. Arnold. Their work appears in journals such as Neurology, International Journal of MS Care, Multiple Sclerosis Journal, European Journal of Neurology and BMC Neurology.

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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