Hubert Li

953 citations
13 papers · 680 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Chemokine receptors and signaling

Papers in

Hubert Li

13 papers receiving 671 citations

Peers

Hubert Li
Comparison fields: 5 of 72
  • Genetics 83
  • Oncology 207
  • Cellular and Molecular Neuroscience 133
  • Computational Theory and Mathematics 97
  • Cancer Research 72
Replace Linda Sleire with:
Linda Sleire Norway
Inger Anne Netland Norway
Darren Orton United States
Robert Breese United States
Patricia A. Zipfel United States
Cynthia M. Rominger United States
Michela Cortesi Italy
Anne‐Flore Zmoos United States
James M. Wu United States
Xinnong Jiang China
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Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Hubert Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hubert Li Line = papers co-authored together Hubert Li links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2014262
2 200798
3 202370
4 201759
5 201258
6 201136
7 201924
8 201421
9 201319
10 201415
11 202111
12 20244
13 20173

About Hubert Li

Hubert Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 680 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuropeptides and Animal Physiology (2 papers), RNA and protein synthesis mechanisms (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (83 citations), Oncology (207 citations), Cellular and Molecular Neuroscience (133 citations), Computational Theory and Mathematics (97 citations) and Cancer Research (72 citations). Hubert Li has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Nagarajan Vaidehi, Josh Neman, Cecilia Choy, Rahul Jandial, S. Bhattacharya, John Termini, Claudia Kowolik, Eugene Roberts, Sharon P. Wilczynski and Amanda Hambrecht. Their work appears in journals such as Journal of Chemical Information and Modeling, British Journal of Pharmacology, PLoS ONE, Proteins Structure Function and Bioinformatics and Proceedings of the National Academy of Sciences.

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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