Patrick J Hu
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 16
- PI3K/AKT/mTOR signaling in cancer 6
- FOXO transcription factor regulation 5
- Aging 20
- Genetics, Aging, and Longevity in Model Organisms 20
- Co-authors
- Joseph Schlessinger (18 shared papers)A. Ullrich (6 shared papers)Edward Y. Skolnik (4 shared papers)Ben Margolis (4 shared papers)Jonathan Backer (3 shared papers)Xiao‐Jian Sun (2 shared papers)E. Y. Skolnik (3 shared papers)Steven E. Shoelson (2 shared papers)
- Journals
- Molecular and Cellular Biology (11 papers)JCI Insight (4 papers)Genetics (3 papers)G3 Genes Genomes Genetics (3 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Patrick J Hu
46 papers receiving 4.1k citations
Patrick J Hu's Hit Papers
Peers
Comparison fields: 5 of 113
- Aging 647
- Endocrine and Autonomic Systems 299
- Molecular Biology 2.9k
- Immunology and Allergy 219
- Cell Biology 610
Countries citing papers authored by Patrick J Hu
This map shows the geographic impact of Patrick J 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 Patrick J Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J Hu more than expected).
Fields of papers citing papers by Patrick J Hu
This network shows the impact of papers produced by Patrick J 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 Patrick J Hu. The network helps show where Patrick J Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick J 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phosphatidylinositol 3′‐kinase is activated by association with IRS‐1 during insulin stimulation. Hit paper breakdown → | 1992 | 891 |
| 2 | 1992 | 389 | |
| 3 | 1992 | 322 | |
| 4 | 1992 | 299 | |
| 5 | 2007 | 243 | |
| 6 | 1993 | 222 | |
| 7 | 1992 | 159 | |
| 8 | 1993 | 159 | |
| 9 | 1993 | 150 | |
| 10 | 1993 | 136 | |
| 11 | 1997 | 126 | |
| 12 | 1992 | 94 | |
| 13 | 2020 | 86 | |
| 14 | 2014 | 85 | |
| 15 | 1994 | 70 | |
| 16 | 1993 | 64 | |
| 17 | 2015 | 59 | |
| 18 | 1994 | 56 | |
| 19 | 2013 | 52 | |
| 20 | 2010 | 46 |
About Patrick J Hu
Patrick J Hu is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Public Health, Environmental and Occupational Health and Cell Biology, having authored 46 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Circadian rhythm and melatonin (7 papers), Health and Medical Research Impacts (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Innovations in Medical Education (6 papers), FOXO transcription factor regulation (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Aging (647 citations), Endocrine and Autonomic Systems (299 citations), Molecular Biology (2.9k citations), Immunology and Allergy (219 citations) and Cell Biology (610 citations). Patrick J Hu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Joseph Schlessinger, A. Ullrich, Edward Y. Skolnik, Ben Margolis, Jonathan Backer, Xiao‐Jian Sun, E. Y. Skolnik, Steven E. Shoelson, Daniel J. Chin and Montserrat Miralpeix. Their work appears in journals such as Molecular and Cellular Biology, JCI Insight, Genetics, G3 Genes Genomes Genetics and Developmental Biology.
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.