Pan Fu
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Microbial infections and disease research
Papers in
-
- Antibiotic Resistance in Bacteria 16
- Microbiology 10
- Bacterial Infections and Vaccines 9
- Antimicrobial Peptides and Activities 1
- Co-authors
- Chuanqing Wang (19 shared papers)Yu Tang (3 shared papers)Gang Li (4 shared papers)Yong Wang (2 shared papers)Zhihua Kang (4 shared papers)Xiaofei Jiang (1 shared paper)Xiaofei Jiang (5 shared papers)Dongxing Tian (4 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (6 papers)Journal of Microbiology Immunology and Infection (2 papers)International Journal of Antimicrobial Agents (2 papers)Clinical Biochemistry (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Pan Fu
35 papers receiving 745 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 294
- Microbiology 190
- Applied Microbiology and Biotechnology 18
- Endocrinology 22
- Dermatology 33
Countries citing papers authored by Pan Fu
This map shows the geographic impact of Pan Fu'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 Pan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Fu more than expected).
Fields of papers citing papers by Pan Fu
This network shows the impact of papers produced by Pan Fu. 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 Pan Fu. The network helps show where Pan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Fu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2021 | 61 | |
| 3 | 2023 | 54 | |
| 4 | 2020 | 48 | |
| 5 | 2018 | 47 | |
| 6 | 2017 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2024 | 38 | |
| 9 | 2022 | 36 | |
| 10 | 2021 | 33 | |
| 11 | 2016 | 28 | |
| 12 | 2023 | 28 | |
| 13 | 2013 | 23 | |
| 14 | 2013 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 15 | |
| 20 | 2022 | 14 |
About Pan Fu
Pan Fu is a scholar working on Molecular Medicine, Microbiology, Epidemiology, Endocrinology and Dermatology, having authored 39 papers that have together received 759 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Bacterial Infections and Vaccines (9 papers), Sepsis Diagnosis and Treatment (3 papers), Pneumonia and Respiratory Infections (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Escherichia coli research studies (2 papers), Antimicrobial Peptides and Activities (1 paper) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Molecular Medicine (294 citations), Microbiology (190 citations), Applied Microbiology and Biotechnology (18 citations), Endocrinology (22 citations) and Dermatology (33 citations). Pan Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Chuanqing Wang, Yu Tang, Gang Li, Yong Wang, Zhihua Kang, Xiaofei Jiang, Xiaofei Jiang, Dongxing Tian, Mei Zeng and He Tian. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Journal of Microbiology Immunology and Infection, International Journal of Antimicrobial Agents, Clinical Biochemistry and Emerging Microbes & Infections.
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.