Xiaoxin Ren

620 citations
20 papers · 486 · h-index 12

Impact in

    • 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
    • HIV Research and Treatment 4

Xiaoxin Ren

19 papers receiving 480 citations

Peers

Xiaoxin Ren
Comparison fields: 5 of 65
  • Immunology 221
  • Oncology 205
  • Virology 30
  • Pathology and Forensic Medicine 48
  • Cancer Research 32
Replace Carmen Stecher with:
Carmen Stecher Austria
Hyun Tak Jin South Korea
Daniel V. Correia Portugal
Gwo-Shu Mary Lee United States
So Matsui United States
Loui Thomas Madakamutil United States
Nyree Myatt United Kingdom
Marta Pires de Miranda Portugal
Zhouhao Zeng United States
Zhengkui Zhang China
Xiaoxin Ren relative to Carmen Stecher Austria Carmen Stecher's profile →
Citations per field
00.5×2×2.8×
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

20 of 20 papers shown
#Work
1 201989
2 201880
3 202173
4 202245
5 202444
6 201420
7 201917
8 202316
9 202116
10 201616
11 202114
12 201913
13 201312
14 20169
15 20179
16 20198
17 20222
18 20152
19 20201
20 20210

About Xiaoxin Ren

Xiaoxin Ren is a scholar working on Immunology, Virology, Oncology, Cardiology and Cardiovascular Medicine and Genetics, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), interferon and immune responses (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (221 citations), Oncology (205 citations), Virology (30 citations), Pathology and Forensic Medicine (48 citations) and Cancer Research (32 citations). Xiaoxin Ren has collaborated with scholars based in United States, China and Ukraine. Frequent co-authors include Xingxing Zang, Murali Janakiram, Phillip M. Galbo, Hao Wang, Deyou Zheng, Juan Lin, Haiying Cheng, Alain Borczuk, Balázs Halmos and Amer Assal. Their work appears in journals such as Blood, Clinical Cancer Research, Virulence, Bladder Cancer and Transplantation and Cellular Therapy.

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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