David Hou

950 citations
13 papers · 553 · h-index 8

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Immunotherapy and Immune Responses 6
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 3
    • CAR-T cell therapy research 7
    • Cancer Immunotherapy and Biomarkers 4

David Hou

13 papers receiving 549 citations

Peers

David Hou
Comparison fields: 5 of 66
  • Immunology 252
  • Genetics 111
  • Oncology 246
  • Neurology 38
  • Cancer Research 63
Replace Salwador Cyranowski with:
Salwador Cyranowski Poland
Leonel Ampie United States
Hikmat Assi United States
Natalia Di Ianni Italy
Haipeng Tao United States
Edward H. Oldfield United States
Zhengdao Lan United States
Antonela S. Asad Argentina
Mareike Holz Germany
Steffen Dettling Germany
David Hou relative to Salwador Cyranowski Poland Salwador Cyranowski's profile →
Citations per field
00.5×
Salwador Cyranowski · 1×
Citations per year

Countries citing papers authored by David Hou

Since Specialization
Citations

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

Fields of papers citing papers by David Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019124
2 202299
3 202193
4 202176
5 201261
6 202051
7 201026
8 202117
9 20212
10 20241
11 20211
12 20201
13 20231

About David Hou

David Hou is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 553 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (3 papers), Glioma Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Immunology (252 citations), Genetics (111 citations), Oncology (246 citations), Neurology (38 citations) and Cancer Research (63 citations). David Hou has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Catalina Lee-Chang, Maciej S. Lesniak, Brandyn Castro, Ting Xiao, Yu Han, Aida Rashidi, Peng Zhang, Craig Horbinski, Aurora Lopez‐Rosas and Jason Miska. Their work appears in journals such as Neuro-Oncology, Cancer Immunology Research, Neurosurgery, Cancers and Diseases of the Esophagus.

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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