Hong Shen
- Infectious Diseases top 1%
- Neurology top 2%
- Molecular Biology
- Oncology
- Cellular and Molecular Neuroscience top 10%
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)Pain Mechanisms and Treatments (4 papers)COVID-19 Clinical Research Studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationBrain Research
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hong Shen
23 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 1.3k
- Neurology 702
- Molecular Biology 235
- Oncology 218
- Cellular and Molecular Neuroscience 153
Countries citing papers authored by Hong Shen
This map shows the geographic impact of Hong Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Shen more than expected).
Fields of papers citing papers by Hong Shen
This network shows the impact of papers produced by Hong Shen. 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 Shen. The network helps show where Hong Shen may publish in the future.
Co-authorship network of co-authors of Hong Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shen. A scholar is included among the top collaborators of Hong Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Shen. Hong Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 64 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 297 | |
| 11 | Organ distribution of severe acute respiratory syndrome (SARS) associated coronavirus (SARS‐CoV) in SARS patients: implications for pathogenesis and virus transmission pathwaysbreakdown → | 793 |
| 12 | [Comparison of serum biochemical features between SARS and other viral pneumonias]. | 10 |
| 13 | The clinical pathology of severe acute respiratory syndrome (SARS): a report from Chinabreakdown → | 567 |
| 14 | 43 | |
| 15 | 64 | |
| 16 | 20 | |
| 17 | 75 | |
| 18 | 33 | |
| 19 | 2 | |
| 20 | [Ultrastructural observation on the body wall of Pagumogonimus skrjabini]. | 1 |
About Hong Shen
Hong Shen is a scholar working on Immunology and Allergy, Infectious Diseases and Neurology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Pain Mechanisms and Treatments (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (702 citations) and Obstetrics and Gynecology (131 citations). Hong Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Junjie Cai, Yanqing Ding, Wei Kang, Jian Geng, Hui-xia Han, Zhuguo Li, Huijun Wang, Xin Li, Chi‐Ming Che and Liwen Qiu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Brain 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.