Long Xu

675 citations
26 papers · 511 · h-index 14

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 5
    • IL-33, ST2, and ILC Pathways 3
    • T-cell and B-cell Immunology 2
    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 2

Long Xu

25 papers receiving 496 citations

Peers

Long Xu
Comparison fields: 5 of 83
  • Hepatology 123
  • Immunology 204
  • Epidemiology 205
  • Infectious Diseases 67
  • Pharmacology 31
Replace Nassim Hammoudi with:
Nassim Hammoudi France
Nicola Patuto Switzerland
Gennadiy Novitskiy United States
Kriangsak Ruchusatsawat Thailand
Qing‐He Nie China
Sharada Ravikumar Singapore
Feijun Huang China
S L MacKay United States
О. В. Масалова Russia
Arkadiusz R. Raczynski United States
Long Xu relative to Nassim Hammoudi France Nassim Hammoudi's profile →
Citations per field
00.5×5.2×
Nassim Hammoudi · 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 2012145
2 201593
3 201340
4 202224
5 201221
6 202220
7 202217
8 200516
9 201516
10 202016
11 202314
12 202213
13 200813
14 202513
15 201912
16 202410
17 20188
18 20206
19 20254
20 20243

About Long Xu

Long Xu is a scholar working on Immunology, Epidemiology, Pathology and Forensic Medicine, Pharmacology and Hepatology, having authored 26 papers that have together received 511 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Hepatitis B Virus Studies (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Alcohol Consumption and Health Effects (3 papers), Animal health and immunology (2 papers), T-cell and B-cell Immunology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (123 citations), Immunology (204 citations), Epidemiology (205 citations), Infectious Diseases (67 citations) and Pharmacology (31 citations). Long Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haiming Wei, Rui Sun, Zhigang Tian, Wenwei Yin, Yufeng Gao, Hairong Wei, Fenglei Li, Hua Wang, Yongyan Chen and Min Li. Their work appears in journals such as International Immunopharmacology, Hepatology, Vaccine, Cellular and Molecular Gastroenterology and Hepatology and Gastroenterology.

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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