Kun Jiang

3.4k citations
89 papers · 2.7k · h-index 30

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer-related Molecular Pathways

Papers in

    • Pancreatic and Hepatic Oncology Research 13
    • Cytokine Signaling Pathways and Interactions 5
    • Cancer-related Molecular Pathways 5

Kun Jiang

81 papers receiving 2.7k citations

Peers

Kun Jiang
Comparison fields: 5 of 122
  • Immunology 707
  • Oncology 800
  • Cancer Research 274
  • Molecular Biology 1.0k
  • Immunology and Allergy 74
Replace Justin Lesch with:
Justin Lesch United States
Elisabeth Gröne Germany
Catherine Wilson United Kingdom
Carmine Carbone Italy
Chanitra Thuwajit Thailand
Weiguo Hu China
Keisuke Miyake Japan
Takashi Morisaki Japan
Weiping Zeng United States
Thomas Enzler United States
Kun Jiang relative to Justin Lesch United States Justin Lesch's profile →
Citations per field
00.5×1.7×
Justin Lesch · 1×
Citations per year

Countries citing papers authored by Kun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000299
2 2000214
3 2001159
4 2004154
5
A view to a kill: signals triggering cytotoxicity.
2002113
6 2016105
7 2002102
8 200482
9 201972
10 201370
11 200866
12 201266
13 200262
14 200659
15 200358
16 201757
17 202056
18 201150
19 200749
20 202049

About Kun Jiang

Kun Jiang is a scholar working on Oncology, Immunology, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Pancreatitis Pathology and Treatment (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Immunology (707 citations), Oncology (800 citations), Cancer Research (274 citations), Molecular Biology (1.0k citations) and Immunology and Allergy (74 citations). Kun Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Julie Y. Djeu, Bin Zhong, Saı̈d M. Sebti, Sheng Wei, Elizabeth Hong‐Geller, Danielle L. Gilvary, Sheng Wei, Brian C. Corliss, Domenico Coppola and Jin Quan Cheng. Their work appears in journals such as World Journal of Gastroenterology, Applied immunohistochemistry & molecular morphology, Cancer Control, Blood and Cancers.

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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