Sen Han

827 citations
46 papers · 525 · h-index 14

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Bacterial biofilms and quorum sensing 6
    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • IL-33, ST2, and ILC Pathways 4

Sen Han

43 papers receiving 521 citations

Peers

Sen Han
Comparison fields: 5 of 88
  • Endocrinology 32
  • Immunology 108
  • Molecular Medicine 21
  • Molecular Biology 216
  • Gastroenterology 15
Replace Guangbo Kang with:
Guangbo Kang China
Jeffrey W. Craig United States
Yi Qiu China
Takeshi Masaki Japan
Danfeng Zhang China
Isabel Fernandes Portugal
Liyuan Ran China
Nikoo Saeedi Iran
Shui‐Tsung Chen Taiwan
Sen Han relative to Guangbo Kang China Guangbo Kang's profile →
Citations per field
00.5×2.7×
Guangbo Kang · 1×
Citations per year

Countries citing papers authored by Sen Han

Since Specialization
Citations

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

Fields of papers citing papers by Sen Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201750
3 202346
4 202030
5 201625
6 201924
7 201522
8 201717
9 202015
10 202015
11 201915
12
Decreased expression of microRNA-510 in intestinal tissue contributes to post-infectious irritable bowel syndrome via targeting PRDX1.
201915
13 201814
14 202314
15 201813
16 201813
17 202411
18 201710
19 202510
20 202010

About Sen Han

Sen Han is a scholar working on Molecular Biology, Immunology, Plant Science, Oncology and Cell Biology, having authored 46 papers that have together received 525 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Plant-Microbe Interactions and Immunity (6 papers), Bacterial biofilms and quorum sensing (6 papers), T-cell and B-cell Immunology (6 papers), IL-33, ST2, and ILC Pathways (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Cancer Cells and Metastasis (3 papers) and Mycotoxins in Agriculture and Food (3 papers). The work is most often cited by research in Endocrinology (32 citations), Immunology (108 citations), Molecular Medicine (21 citations), Molecular Biology (216 citations) and Gastroenterology (15 citations). Sen Han has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guoliang Qian, Shan‐Ho Chou, Weijuan Gong, Danyu Shen, Yanbing Ding, Weiming Xiao, Fengquan Liu, Zhijie Lin, Mark Gomelsky and Xiaoqin Jia. Their work appears in journals such as Frontiers in Microbiology, Journal of Cellular and Molecular Medicine, General Hospital Psychiatry, Applied Microbiology and Biotechnology and BMC Medicine.

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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