Shuwei Jiang

1.5k citations
18 papers · 1.1k · h-index 15

Impact in

Papers in

    • Cell death mechanisms and regulation 6
    • RNA Interference and Gene Delivery 4
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3

Shuwei Jiang

18 papers receiving 1.1k citations

Peers

Shuwei Jiang
Comparison fields: 5 of 83
  • Urology 142
  • Endocrine and Autonomic Systems 108
  • Hematology 151
  • Immunology 284
  • Dermatology 74
Replace Gopalakrishnan M. Venkataraman with:
Gopalakrishnan M. Venkataraman United States
Bernd Algermissen Germany
Madeleine Duvic United States
Akitomo Miyamoto Japan
Michael Kasperkiewicz Germany
D.A. Miller United States
Rafał Tarkowski Poland
S. M. Krane United States
Katsuhiro Nishioka Japan
Zelmira Lazarova United States
Shuwei Jiang relative to Gopalakrishnan M. Venkataraman United States Gopalakrishnan M. Venkataraman's profile →
Citations per field
00.5×4.9×
Gopalakrishnan M. Venkataraman · 1×
Citations per year

Countries citing papers authored by Shuwei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999187
2 2003148
3 1999146
4 2011138
5 2002128
6 199483
7 199958
8 201151
9 200047
10 199838
11 199925
12 199721
13 199720
14 200116
15 199615
16
Bcl-2 is expressed in human natural killer cells and is regulated by interleukin-2.
19988
17 19986
18 20092

About Shuwei Jiang

Shuwei Jiang is a scholar working on Molecular Biology, Immunology, Oncology, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Urology (142 citations), Endocrine and Autonomic Systems (108 citations), Hematology (151 citations), Immunology (284 citations) and Dermatology (74 citations). Shuwei Jiang has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Michael Andreeff, Abul K. Abbas, Shourong Zhao, Robert E. Burgeson, Jiro Kishimoto, Lin Wu, Ritsuko Ehama, Jens G. Lohr, Arlene H. Sharpe and Birgit Knoechel. Their work appears in journals such as Blood, British Journal of Haematology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Cytometry 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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