Sen Han

782 citations
48 papers · 491 · 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 5

Sen Han

43 papers receiving 487 citations

Peers

Sen Han
Comparison fields: 5 of 90
  • Endocrinology 30
  • Immunology 112
  • Molecular Medicine 21
  • Gastroenterology 19
  • Molecular Biology 224
Replace Guangbo Kang with:
Guangbo Kang China
Jeffrey W. Craig United States
Isabel Fernandes Portugal
Fengjiao Yuan China
Yevhen Vainshtein Germany
Suneesh Kumar Pachathundikandi Germany
Michael L. Sikes United States
Li C China
Yi Qiu China
Ye Chen China
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 201749
3 202341
4 202027
5 201623
6 201522
7 201922
8 201717
9 201915
10 202015
11
Decreased expression of microRNA-510 in intestinal tissue contributes to post-infectious irritable bowel syndrome via targeting PRDX1.
201915
12 202014
13 201814
14 201813
15 201813
16 202312
17 202410
18 202010
19 201710
20 20209

About Sen Han

Sen Han is a scholar working on Molecular Biology, Immunology, Plant Science, Oncology and Surgery, having authored 48 papers that have together received 491 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Bacterial biofilms and quorum sensing (6 papers), T-cell and B-cell Immunology (6 papers), Plant-Microbe Interactions and Immunity (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Cancer Cells and Metastasis (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). The work is most often cited by research in Endocrinology (30 citations), Immunology (112 citations), Molecular Medicine (21 citations), Gastroenterology (19 citations) and Molecular Biology (224 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, Yanbing Ding, Weiming Xiao, Danyu Shen, Fengquan Liu, Zhijie Lin, Mark Gomelsky and Gaoge Xu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Frontiers in Microbiology, Annals of Palliative Medicine, Nature Communications and Molecular Plant Pathology.

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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