Hubert Li
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Lung Cancer Research Studies
- Chemokine receptors and signaling
Papers in ⓘ
-
- Receptor Mechanisms and Signaling 3
- Protein Structure and Dynamics 3
- Oncology 4
- Chemokine receptors and signaling 3
- Co-authors
- Nagarajan Vaidehi (10 shared papers)Rahul Jandial (2 shared papers)Josh Neman (2 shared papers)Cecilia Choy (2 shared papers)S. Bhattacharya (2 shared papers)Sharon P. Wilczynski (1 shared paper)Eugene Roberts (1 shared paper)John Termini (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)British Journal of Pharmacology (2 papers)Bioorganic & Medicinal Chemistry (1 paper)Oncogenesis (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Hubert Li
13 papers receiving 649 citations
Peers
Comparison fields: 5 of 71
- Genetics 94
- Oncology 221
- Cellular and Molecular Neuroscience 137
- Computational Theory and Mathematics 100
- Molecular Biology 365
Countries citing papers authored by Hubert Li
This map shows the geographic impact of Hubert Li'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 Hubert Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Li more than expected).
Fields of papers citing papers by Hubert Li
This network shows the impact of papers produced by Hubert Li. 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 Hubert Li. The network helps show where Hubert Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hubert Li, 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 | 254 | |
| 2 | 2007 | 97 | |
| 3 | 2023 | 64 | |
| 4 | 2012 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2011 | 35 | |
| 7 | 2019 | 23 | |
| 8 | 2014 | 21 | |
| 9 | 2013 | 19 | |
| 10 | 2014 | 15 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 4 | |
| 13 | 2017 | 3 |
About Hubert Li
Hubert Li is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 658 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Structure and Dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemokine receptors and signaling (3 papers), Neuropeptides and Animal Physiology (2 papers), Brain Metastases and Treatment (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Genetics (94 citations), Oncology (221 citations), Cellular and Molecular Neuroscience (137 citations), Computational Theory and Mathematics (100 citations) and Molecular Biology (365 citations). Hubert Li has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Nagarajan Vaidehi, Rahul Jandial, Josh Neman, Cecilia Choy, S. Bhattacharya, Sharon P. Wilczynski, Eugene Roberts, John Termini, Claudia Kowolik and Amanda Hambrecht. Their work appears in journals such as Journal of Chemical Information and Modeling, British Journal of Pharmacology, Bioorganic & Medicinal Chemistry, Oncogenesis and Proteins Structure Function and Bioinformatics.
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.