Hong Shi
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research 9
- Immunology top 5%
- Invertebrate Immune Response Mechanisms 26
- Aquaculture disease management and microbiota 11
- Oncology top 10%
- Molecular Biology top 10%
- Cancer-related gene regulation 6
- RNA and protein synthesis mechanisms 6
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 6
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- Insect symbiosis and bacterial influences 9
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- Biological and pharmacological studies of plants 5
- Co-authors
- Lingwei RuanSandra L. WolinXun XuLi LiuJames GregerTona M. GilmerAnne‐Marie MartinPierre Hainaut
- Cited by
- BiophysicsImmunologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Applied Physics Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesRwanda
In The Last Decade
Hong Shi
70 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 115
- Biophysics 235
- Immunology 579
- Oncology 382
- Molecular Biology 934
- Analytical Chemistry 120
Countries citing papers authored by Hong Shi
This map shows the geographic impact of Hong Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Shi more than expected).
Fields of papers citing papers by Hong Shi
This network shows the impact of papers produced by Hong Shi. 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 Shi. The network helps show where Hong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Shi, 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 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 11 | |
| 4 | 2020 | 4 | |
| 5 | 2020 | 20 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 14 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 3 | |
| 11 | Curative effect analysis of different treatments for gefitinib-resistance advanced non-small cell lung cancer patients. | 2015 | 2 |
| 12 | 2012 | 27 | |
| 13 | 2011 | 64 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 378 | |
| 16 | 2008 | 90 | |
| 17 | 2007 | 20 | |
| 18 | 2003 | 86 | |
| 19 | 1998 | 66 | |
| 20 | A misfolded form of 5S rRNA is complexed with the Ro and La autoantigens. | 1996 | 55 |
About Hong Shi
Hong Shi is a scholar working on Biophysics, Immunology and Geriatrics and Gerontology, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (26 papers), Aquaculture disease management and microbiota (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Insect symbiosis and bacterial influences (9 papers), Cancer-related gene regulation (6 papers), RNA and protein synthesis mechanisms (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Biological and pharmacological studies of plants (5 papers). The work is most often cited by research in Biophysics (235 citations), Immunology (579 citations) and Oncology (382 citations). Hong Shi has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Lingwei Ruan, Sandra L. Wolin, Xun Xu, Li Liu, James Greger, Tona M. Gilmer, Anne‐Marie Martin, Pierre Hainaut, Yuan Liu and Joel Greshock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and PLoS ONE.
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.