Long Xu

646 citations
26 papers · 474 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 10
    • IL-33, ST2, and ILC Pathways 3
    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 4

Long Xu

24 papers receiving 463 citations

Peers

Long Xu
Comparison fields: 5 of 84
  • Hepatology 137
  • Immunology 225
  • Epidemiology 229
  • Infectious Diseases 71
  • Pharmacology 30
Replace Qing‐He Nie with:
Qing‐He Nie China
Reza Jafari-Shakib Iran
Dennis Webb Germany
Ebrahim Rezazadeh Zarandi Iran
Christopher Marshall United States
Lourdes Domínguez Spain
Laura E. Martínez United States
Yushan Ren China
Fang Guo China
Long Xu relative to Qing‐He Nie China Qing‐He Nie's profile →
Citations per field
00.5×6.3×
Qing‐He Nie · 1×
Citations per year

Countries citing papers authored by Long Xu

Since Specialization
Citations

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

Fields of papers citing papers by Long Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 201593
3 201339
4 201221
5 202220
6 202218
7 202216
8 201516
9 202016
10 200513
11 202213
12 202312
13 201911
14 20089
15 20188
16 20247
17 20206
18 20253
19 20253
20 20242

About Long Xu

Long Xu is a scholar working on Immunology, Epidemiology, Hepatology, Pathology and Forensic Medicine and Infectious Diseases, having authored 26 papers that have together received 474 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Alcohol Consumption and Health Effects (3 papers), Hepatitis C virus research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Hepatology (137 citations), Immunology (225 citations), Epidemiology (229 citations), Infectious Diseases (71 citations) and Pharmacology (30 citations). Long Xu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhigang Tian, Haiming Wei, Rui Sun, Wenwei Yin, Yufeng Gao, Hairong Wei, Fenglei Li, Hua Wang, Min Li and Yongyan Chen. Their work appears in journals such as Vaccine, Hepatology, International Immunopharmacology, Cellular and Molecular Gastroenterology and Hepatology and Virus 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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