Sen Hou

593 citations
23 papers · 449 · h-index 12

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Galectins and Cancer Biology 2
    • Immunodeficiency and Autoimmune Disorders 2
    • PI3K/AKT/mTOR signaling in cancer 5
    • Genomics and Phylogenetic Studies 2

Sen Hou

23 papers receiving 443 citations

Peers

Sen Hou
Comparison fields: 5 of 78
  • Genetics 105
  • Immunology 183
  • Cell Biology 71
  • Molecular Biology 230
  • Hematology 37
Replace Tiphaine Bouriez‐Jones with:
Tiphaine Bouriez‐Jones United Kingdom
Helen Ferry United Kingdom
Changchuin Mao United States
Hélia Neves Portugal
Tomonori Higuchi Japan
Aileen M. Smith United Kingdom
T Kitamura Japan
Sylvie Tondeur France
michel schmid France
Anne‐Marie Patenaude Canada
Sen Hou relative to Tiphaine Bouriez‐Jones United Kingdom Tiphaine Bouriez‐Jones's profile →
Citations per field
00.5×1.5×2.0×
Tiphaine Bouriez‐Jones · 1×
Citations per year

Countries citing papers authored by Sen Hou

Since Specialization
Citations

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

Fields of papers citing papers by Sen Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200298
2 201849
3 200941
4 201837
5 200426
6 201024
7 200924
8 200722
9 201419
10 201516
11 201315
12 201514
13 201611
14 202110
15 201010
16 201610
17 20248
18 20246
19 20234
20 20242

About Sen Hou

Sen Hou is a scholar working on Immunology, Molecular Biology, Genetics, Epidemiology and Plant Science, having authored 23 papers that have together received 449 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Galectins and Cancer Biology (2 papers), Genomics and Phylogenetic Studies (2 papers), Research on Leishmaniasis Studies (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Genetics (105 citations), Immunology (183 citations), Cell Biology (71 citations), Molecular Biology (230 citations) and Hematology (37 citations). Sen Hou has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Aaron J. Marshall, Kewei Ma, Vincent Duronio, Monther Al‐Alwan, Hongzhao Li, Tingting Zhang, Samuel Cheung, James B. Johnston, Spencer B. Gibson and Grant M. Hatch. Their work appears in journals such as The Journal of Immunology, Scientific Data, PLoS ONE, GigaScience and Water Air & Soil Pollution.

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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