Junru Hu
Impact in
- Structural Biology top 5%
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Photosynthetic Processes and Mechanisms 2
-
- T-cell and B-cell Immunology 5
- Co-authors
- Amnon Altman (5 shared papers)Daniela Boassa (7 shared papers)Mark H. Ellisman (7 shared papers)Masako Terada (2 shared papers)Martín Villalba (3 shared papers)Yingqiu Li (2 shared papers)Hardy J. Rideout (1 shared paper)Lauren R. Kett (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)The Journal of Physical Chemistry B (1 paper)Applied Physics Letters (1 paper)Journal of Neuroscience (1 paper)Frontiers in Ecology and Evolution (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Junru Hu
19 papers receiving 849 citations
Peers
Comparison fields: 5 of 82
- Structural Biology 38
- Neurology 213
- Immunology 255
- Cell Biology 150
- Cancer Research 109
Countries citing papers authored by Junru Hu
This map shows the geographic impact of Junru 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 Junru Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Hu more than expected).
Fields of papers citing papers by Junru Hu
This network shows the impact of papers produced by Junru 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 Junru Hu. The network helps show where Junru Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru 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 | 2011 | 154 | |
| 2 | 2002 | 123 | |
| 3 | 2013 | 108 | |
| 4 | 2004 | 80 | |
| 5 | 2004 | 63 | |
| 6 | 2005 | 54 | |
| 7 | 2018 | 50 | |
| 8 | 2004 | 43 | |
| 9 | 2021 | 42 | |
| 10 | 2015 | 40 | |
| 11 | 2003 | 39 | |
| 12 | 2019 | 27 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 2 |
About Junru Hu
Junru Hu is a scholar working on Molecular Biology, Immunology, Biophysics, Cell Biology and Cancer Research, having authored 19 papers that have together received 862 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), NF-κB Signaling Pathways (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Surfactants and Colloidal Systems (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Structural Biology (38 citations), Neurology (213 citations), Immunology (255 citations), Cell Biology (150 citations) and Cancer Research (109 citations). Junru Hu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Amnon Altman, Daniela Boassa, Mark H. Ellisman, Masako Terada, Martín Villalba, Yingqiu Li, Hardy J. Rideout, Lauren R. Kett, William T. Dauer and Eric A. Bushong. Their work appears in journals such as The Journal of Immunology, The Journal of Physical Chemistry B, Applied Physics Letters, Journal of Neuroscience and Frontiers in Ecology and Evolution.
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.