Jian Shen

1.3k citations
37 papers · 783 indexed · h-index 16
  • Immunology top 10%
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 5
    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 3
    • CRISPR and Genetic Engineering 4
    • Epigenetics and DNA Methylation 3
    • Cancer-related molecular mechanisms research 3

Jian Shen

36 papers receiving 777 citations

Peers

Jian Shen
Comparison fields: 5 of 103
  • Immunology 356
  • Oncology 196
  • Biological Psychiatry 10
  • Molecular Biology 252
  • Cancer Research 53
Replace Robert S. Hagan with:
Robert S. Hagan United States
Chaofan Li China
Jacqueline M. Cliff United Kingdom
Sara Jafarzadeh Iran
Julia L. McKechnie United States
Cong Sun China
Sue A. Theus United States
Yuanhong Zhou China
Jorge Hernández‐Bello Mexico
Zeineb Zian Morocco
Jian Shen relative to Robert S. Hagan United States Robert S. Hagan's profile →
Citations per field
00.5×3.5×
Robert S. Hagan · 1×
Citations per year

Countries citing papers authored by Jian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 202423
3 20245
4 20241
5 20242
6 202338
7 20230
8 20236
9 20231
10 20228
11 202267
12 202280
13 20229
14 2021116
15 202116
16 20202
17 201916
18 201922
19 20151
20 2009109

About Jian Shen

Jian Shen is a scholar working on Immunology, Hematology and Oncology, having authored 37 papers that have together received 783 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (5 papers), CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (4 papers), Cancer-related molecular mechanisms research (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (356 citations), Oncology (196 citations) and Biological Psychiatry (10 citations). Jian Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weiguo Cui, Moujtaba Y. Kasmani, Robert Burns, Ryan Zander, Yao Chen, Shikan Zheng, David Schauder, Paytsar Topchyan, Xiaopeng Wu and Elizabeth J. Taparowsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.

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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