Thomas Hu

529 citations
15 papers · 262 · h-index 8

Impact in

    • Cell Image Analysis Techniques
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Single-cell and spatial transcriptomics 8
    • Metabolomics and Mass Spectrometry Studies 3
    • Molecular Biology Techniques and Applications 1
    • Gene expression and cancer classification 1
    • Cell Image Analysis Techniques 6

Thomas Hu

15 papers receiving 257 citations

Peers

Thomas Hu
Comparison fields: 5 of 72
  • Biophysics 24
  • Immunology 42
  • Modeling and Simulation 9
  • Molecular Biology 127
  • Cancer Research 25
Replace Shuangyi Cai with:
Shuangyi Cai United States
Meshach Asare-Werehene Canada
Ciyue Shen United States
Diane C. Wang China
Erta Kalanxhi Norway
Shahin Assefnia United States
Andreas U. Lindner Ireland
Angelo Limeta Sweden
Lisa Schweizer Germany
Bih‐Rong Wei United States
Thomas Hu relative to Shuangyi Cai United States Shuangyi Cai's profile →
Citations per field
00.5×1.5×
Shuangyi Cai · 1×
Citations per year

Countries citing papers authored by Thomas Hu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202384
2 202065
3 202140
4 202227
5 20239
6 20239
7 20218
8 20228
9 20245
10 20222
11 20241
12 20241
13 20241
14 20241
15 20221

About Thomas Hu

Thomas Hu is a scholar working on Molecular Biology, Biophysics, Cell Biology, Immunology and Infectious Diseases, having authored 15 papers that have together received 262 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cell Image Analysis Techniques (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cellular Mechanics and Interactions (1 paper), Click Chemistry and Applications (1 paper), Molecular Biology Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biophysics (24 citations), Immunology (42 citations), Modeling and Simulation (9 citations), Molecular Biology (127 citations) and Cancer Research (25 citations). Thomas Hu has collaborated with scholars based in United States and Spain. Frequent co-authors include Ahmet F. Coskun, Mayar Allam, Shuangyi Cai, Walter Henderson, Maryam Afkarian, Anton V. Ievlev, Brian Yueh, Semir Beyaz, Mythreye Venkatesan and Eric Woods. Their work appears in journals such as Nature Communications, Communications Biology, npj Precision Oncology, iScience and Cancer Research.

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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