Jin Bu
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
-
- Psoriasis: Treatment and Pathogenesis 4
- Immune Cell Function and Interaction 2
-
- Syphilis Diagnosis and Treatment 3
- Asthma and respiratory diseases 2
- Co-authors
- Yun Fan (1 shared paper)Chunlan Zhang (1 shared paper)Erxia Shen (7 shared papers)Xiangming Chen (2 shared papers)Joseph D. Tucker (1 shared paper)Xiang-Sheng Chen (1 shared paper)Myron S. Cohen (1 shared paper)Lillian B. Brown (1 shared paper)
- Journals
- International Immunopharmacology (2 papers)Scientific Reports (1 paper)Skin Research and Technology (1 paper)Frontiers in Immunology (1 paper)Environmental Science and Pollution Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Bu
20 papers receiving 563 citations
Jin Bu's Hit Papers
Peers
Comparison fields: 5 of 102
- Microbiology 84
- Dermatology 79
- Immunology 175
- Nutrition and Dietetics 120
- Drug Discovery 1
Countries citing papers authored by Jin Bu
This map shows the geographic impact of Jin Bu'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 Jin Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Bu more than expected).
Fields of papers citing papers by Jin Bu
This network shows the impact of papers produced by Jin Bu. 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 Jin Bu. The network helps show where Jin Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Bu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology of Psoriasis and Comorbid Diseases: A Narrative Review Hit paper breakdown → | 2022 | 126 |
| 2 | 2017 | 121 | |
| 3 | 2010 | 108 | |
| 4 | 2017 | 68 | |
| 5 | 2008 | 60 | |
| 6 | 2012 | 21 | |
| 7 | 2019 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Jin Bu
Jin Bu is a scholar working on Immunology, Physiology, Microbiology, Infectious Diseases and Dermatology, having authored 21 papers that have together received 572 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (4 papers), Reproductive tract infections research (4 papers), Syphilis Diagnosis and Treatment (3 papers), Dermatology and Skin Diseases (2 papers), HIV/AIDS Research and Interventions (2 papers), Acute Myeloid Leukemia Research (2 papers), Asthma and respiratory diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Microbiology (84 citations), Dermatology (79 citations), Immunology (175 citations), Nutrition and Dietetics (120 citations) and Drug Discovery (1 citation). Jin Bu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yun Fan, Chunlan Zhang, Erxia Shen, Xiangming Chen, Joseph D. Tucker, Xiang-Sheng Chen, Myron S. Cohen, Lillian B. Brown, Zhiqiang Chen and Lingjun Li. Their work appears in journals such as International Immunopharmacology, Scientific Reports, Skin Research and Technology, Frontiers in Immunology and Environmental Science and Pollution 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.