Xiaoxin Ren

587 citations
17 papers · 402 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • T-cell and Retrovirus Studies
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • interferon and immune responses 2
    • T-cell and Retrovirus Studies 2
    • Cancer Immunotherapy and Biomarkers 4

Xiaoxin Ren

17 papers receiving 399 citations

Peers

Xiaoxin Ren
Comparison fields: 5 of 65
  • Immunology 239
  • Oncology 201
  • Virology 31
  • Pathology and Forensic Medicine 47
  • Dermatology 16
Replace Carmen Stecher with:
Carmen Stecher Austria
Anna Paruzynski Germany
Hyun Tak Jin South Korea
Daniel V. Correia Portugal
Kentner L. Singleton United States
Peter van Mourik Netherlands
Simone Meuter Switzerland
Renee Wu United States
Lynn J. Buchanan United Kingdom
Conor Gruber United States
Xiaoxin Ren relative to Carmen Stecher Austria Carmen Stecher's profile →
Citations per field
00.5×
Carmen Stecher · 1×
Citations per year

Countries citing papers authored by Xiaoxin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201978
2 201876
3 202165
4 202239
5 202432
6 201419
7 201917
8 201616
9 202114
10 201312
11 20169
12 20198
13 20178
14 20225
15 20152
16 20251
17 20221

About Xiaoxin Ren

Xiaoxin Ren is a scholar working on Immunology, Oncology, Virology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), HIV Research and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), interferon and immune responses (2 papers), Animal Virus Infections Studies (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (239 citations), Oncology (201 citations), Virology (31 citations), Pathology and Forensic Medicine (47 citations) and Dermatology (16 citations). Xiaoxin Ren has collaborated with scholars based in United States, China and Ukraine. Frequent co-authors include Xingxing Zang, Murali Janakiram, Hao Wang, Juan Lin, Deyou Zheng, Phillip M. Galbo, Balázs Halmos, Román Pérez-Soler, Amer Assal and Alain Borczuk. Their work appears in journals such as Virulence, Clinical Cancer Research, Virology Journal, Nature Communications and IEEE Access.

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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