Alex Hu
Impact in
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- Cancer Genomics and Diagnostics
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
Papers in
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- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- IL-33, ST2, and ILC Pathways 2
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- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- William Stafford Noble (5 shared papers)Steven F. Ziegler (4 shared papers)C. Anthony Blau (2 shared papers)Chao-Zhong Song (2 shared papers)Debbie A. Nickerson (2 shared papers)Daniela Witten (2 shared papers)J. G. Smith (2 shared papers)Junfeng Wang (2 shared papers)
- Journals
- JCI Insight (3 papers)Nature Communications (2 papers)The Journal of Immunology (2 papers)Science Translational Medicine (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesNetherlandsCroatia
In The Last Decade
Alex Hu
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 78
- Immunology 88
- Oncology 56
- Rheumatology 27
- Pathology and Forensic Medicine 32
Countries citing papers authored by Alex Hu
This map shows the geographic impact of Alex 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 Alex Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Hu more than expected).
Fields of papers citing papers by Alex Hu
This network shows the impact of papers produced by Alex 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 Alex Hu. The network helps show where Alex Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | 2017 | 54 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 5 | |
| 10 | 2014 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2022 | 1 | |
| 14 | Technical advances in proteomics: new developments in data-independent acquisition [version 1; referees: 3 approved] | 2016 | 1 |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 |
About Alex Hu
Alex Hu is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 16 papers that have together received 251 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Diabetes and associated disorders (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cancer Genomics and Diagnostics (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Cancer Research (78 citations), Immunology (88 citations), Oncology (56 citations), Rheumatology (27 citations) and Pathology and Forensic Medicine (32 citations). Alex Hu has collaborated with scholars based in United States, Netherlands and Croatia. Frequent co-authors include William Stafford Noble, Steven F. Ziegler, C. Anthony Blau, Chao-Zhong Song, Debbie A. Nickerson, Daniela Witten, J. G. Smith, Junfeng Wang, Habil Zare and Kazushige Obata‐Ninomiya. Their work appears in journals such as JCI Insight, Nature Communications, The Journal of Immunology, Science Translational Medicine and Journal of Clinical Oncology.
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.