Hong Cao
- Cell Biology top 0.2%
- Cellular transport and secretion 25
- Cellular Mechanics and Interactions 7
- Immunology and Allergy top 1%
- Molecular Biology top 2%
- Physiology top 2%
- Erythrocyte Function and Pathophysiology 10
- Cancer Research top 5%
- MicroRNA in disease regulation 7
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- Pancreatic and Hepatic Oncology Research 10
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- Osteoarthritis Treatment and Mechanisms 10
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- Autophagy in Disease and Therapy 7
- Neuroendocrine Tumor Research Advances 7
- Co-authors
- Mark A. McNivenEugene W. KruegerJames D. OrthFabiana Garcı́aJohn R. HenleyJing ChenKelly R. PittsYisang Yoon
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hong Cao
169 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 143
- Cell Biology 2.4k
- Immunology and Allergy 403
- Molecular Biology 2.9k
- Physiology 148
- Cancer Research 441
Countries citing papers authored by Hong Cao
This map shows the geographic impact of Hong Cao'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 Hong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Cao more than expected).
Fields of papers citing papers by Hong Cao
This network shows the impact of papers produced by Hong Cao. 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 Hong Cao. The network helps show where Hong Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Cao, 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 | 2024 | 18 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 16 | |
| 13 | 2018 | 34 | |
| 14 | 2014 | 29 | |
| 15 | 2014 | 4 | |
| 16 | 2009 | 20 | |
| 17 | Expression of GLP-1 receptor mRNA in intestine and pancreas of diabetic rats | 2008 | 1 |
| 18 | 2007 | 73 | |
| 19 | [Studies on phenolic compounds from Polygonum aviculane]. | 2006 | 3 |
| 20 | 2003 | 115 |
About Hong Cao
Hong Cao is a scholar working on Cell Biology, Cancer Research and Oncology, having authored 180 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (25 papers), Erythrocyte Function and Pathophysiology (10 papers), Pancreatic and Hepatic Oncology Research (10 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Cellular Mechanics and Interactions (7 papers), MicroRNA in disease regulation (7 papers), Autophagy in Disease and Therapy (7 papers) and Neuroendocrine Tumor Research Advances (7 papers). The work is most often cited by research in Cell Biology (2.4k citations), Immunology and Allergy (403 citations) and Molecular Biology (2.9k citations). Hong Cao has collaborated with scholars based in China, United States and France. Frequent co-authors include Mark A. McNiven, Eugene W. Krueger, James D. Orth, Fabiana Garcı́a, John R. Henley, Jing Chen, Kelly R. Pitts, Yisang Yoon, Shaun G. Weller and Tai W. Wong. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.