Qingjun Pan
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
- Immunology 28
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 7
- Mast cells and histamine 6
- Co-authors
- Jialu Liu (36 shared papers)Chen Yang (21 shared papers)Huafeng Liu (13 shared papers)Fengbiao Guo (15 shared papers)Quanren Pan (9 shared papers)Aifen Li (7 shared papers)Shuzhen Liao (17 shared papers)Ning An (12 shared papers)
- Journals
- Frontiers in Immunology (11 papers)Journal of Cellular and Molecular Medicine (6 papers)Cellular Physiology and Biochemistry (4 papers)Biomedicine & Pharmacotherapy (4 papers)BioMed Research International (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qingjun Pan
84 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Nephrology 230
- Rheumatology 265
- Immunology 375
- Clinical Biochemistry 75
- Genetics 96
Countries citing papers authored by Qingjun Pan
This map shows the geographic impact of Qingjun Pan'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 Qingjun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Pan more than expected).
Fields of papers citing papers by Qingjun Pan
This network shows the impact of papers produced by Qingjun Pan. 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 Qingjun Pan. The network helps show where Qingjun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun Pan, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2022 | 98 | |
| 3 | 2021 | 96 | |
| 4 | 2013 | 84 | |
| 5 | 2017 | 82 | |
| 6 | 2021 | 78 | |
| 7 | 2019 | 72 | |
| 8 | 2020 | 62 | |
| 9 | 2018 | 62 | |
| 10 | 2017 | 54 | |
| 11 | 2020 | 50 | |
| 12 | 2018 | 45 | |
| 13 | 2019 | 44 | |
| 14 | 2021 | 42 | |
| 15 | 2020 | 42 | |
| 16 | 2018 | 36 | |
| 17 | 2022 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2021 | 27 |
About Qingjun Pan
Qingjun Pan is a scholar working on Immunology, Molecular Biology, Rheumatology, Nephrology and Epidemiology, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (12 papers), Autophagy in Disease and Therapy (10 papers), Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (7 papers), Mast cells and histamine (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Acute Kidney Injury Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Nephrology (230 citations), Rheumatology (265 citations), Immunology (375 citations), Clinical Biochemistry (75 citations) and Genetics (96 citations). Qingjun Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jialu Liu, Chen Yang, Huafeng Liu, Fengbiao Guo, Quanren Pan, Aifen Li, Shuzhen Liao, Ning An, Jiaxuan Chen and Wei Jing Liu. Their work appears in journals such as Frontiers in Immunology, Journal of Cellular and Molecular Medicine, Cellular Physiology and Biochemistry, Biomedicine & Pharmacotherapy and BioMed Research International.
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.