Jim Xiang

6.7k citations
186 papers · 5.4k indexed · h-index 41

Impact in

  • Immunology top 0.5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 2%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 113
    • T-cell and B-cell Immunology 62
    • Immune Cell Function and Interaction 60
    • CAR-T cell therapy research 47

Jim Xiang

183 papers receiving 5.3k citations

Peers

Jim Xiang
Comparison fields: 5 of 127
  • Immunology 2.9k
  • Oncology 1.5k
  • Cancer Research 821
  • Molecular Biology 2.7k
  • Aging 52
Replace Thomas Wirth with:
Thomas Wirth Germany
Mark S. Schlissel United States
Bharat Joshi United States
Stephanie K. Dougan United States
Lea Eisenbach Israel
Anna Mondino Italy
Brian D. Brown United States
Hong Wu United States
Yasuharu Nishimura Japan
Richard J. Bram United States
Jim Xiang relative to Thomas Wirth Germany Thomas Wirth's profile →
Citations per field
00.5×1.5×2.3×
Thomas Wirth · 1×
Citations per year

Countries citing papers authored by Jim Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Jim Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201825
2 201867
3 20155
4 2010115
5 200953
6 2009147
7 20085
8 200810
9 200857
10 200756
11 200626
12 200616
13 200522
14 20057
15 200229
16 200115
17 200155
18 200030
19 199521
20 19943

About Jim Xiang

Jim Xiang is a scholar working on Immunology, Oncology, Biotechnology, Aging and Radiology, Nuclear Medicine and Imaging, having authored 186 papers that have together received 5.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (113 papers), T-cell and B-cell Immunology (62 papers), Immune Cell Function and Interaction (60 papers), CAR-T cell therapy research (47 papers), Monoclonal and Polyclonal Antibodies Research (32 papers), Virus-based gene therapy research (28 papers), Cancer Research and Treatments (17 papers) and RNA Interference and Gene Delivery (17 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (1.5k citations), Cancer Research (821 citations), Molecular Biology (2.7k citations) and Aging (52 citations). Jim Xiang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Terence Moyana, Yufeng Xie, Siguo Hao, Khawaja Ashfaque Ahmed, Zhaoying Fu, Jinying Yuan, Hui Huang, John Gordon, Rajni Chibbar and Ou Bai. Their work appears in journals such as Cancer Biotherapy and Radiopharmaceuticals, The Journal of Immunology, Cellular and Molecular Immunology, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

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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