Puran Chen
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 5%
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
- T-cell and B-cell Immunology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 17
- COVID-19 Clinical Research Studies 4
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- Reproductive System and Pregnancy 1
- Co-authors
- Mattias Svensson (9 shared papers)Hans‐Gustaf Ljunggren (13 shared papers)Magda Lourda (2 shared papers)Per Bergman (2 shared papers)Nicole Marquardt (2 shared papers)Mamdoh Al‐Ameri (2 shared papers)Jakob Michaëlsson (2 shared papers)Eliisa Kekäläinen (2 shared papers)
- Journals
- EBioMedicine (3 papers)Journal of Clinical Immunology (2 papers)Molecular Medicine (2 papers)Nature Communications (2 papers)Haematologica (2 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Puran Chen
42 papers receiving 2.9k citations
Puran Chen's Hit Papers
Peers
Comparison fields: 5 of 62
- Infectious Diseases 1.6k
- Immunology 423
- Modeling and Simulation 32
- Molecular Biology 154
- General Dentistry 1
Countries citing papers authored by Puran Chen
This map shows the geographic impact of Puran Chen'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 Puran Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puran Chen more than expected).
Fields of papers citing papers by Puran Chen
This network shows the impact of papers produced by Puran Chen. 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 Puran Chen. The network helps show where Puran Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Puran Chen, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19 Hit paper breakdown → | 2020 | 1439 |
| 2 | 2021 | 185 | |
| 3 | 2020 | 179 | |
| 4 | 2016 | 121 | |
| 5 | 2020 | 119 | |
| 6 | 2021 | 114 | |
| 7 | 2019 | 113 | |
| 8 | 2015 | 99 | |
| 9 | 2021 | 66 | |
| 10 | 2022 | 59 | |
| 11 | 2011 | 53 | |
| 12 | 2015 | 51 | |
| 13 | 2022 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2023 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2022 | 26 | |
| 18 | 2024 | 26 | |
| 19 | 2022 | 24 | |
| 20 | 2023 | 20 |
About Puran Chen
Puran Chen is a scholar working on Infectious Diseases, Immunology, Periodontics, Pharmacology and Pathology and Forensic Medicine, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (4 papers), Immune Cell Function and Interaction (4 papers), Gut microbiota and health (2 papers), Immunotherapy and Immune Responses (2 papers), Oral microbiology and periodontitis research (1 paper), Cannabis and Cannabinoid Research (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Immunology (423 citations), Modeling and Simulation (32 citations), Molecular Biology (154 citations) and General Dentistry (1 citation). Puran Chen has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Mattias Svensson, Hans‐Gustaf Ljunggren, Magda Lourda, Per Bergman, Nicole Marquardt, Mamdoh Al‐Ameri, Jakob Michaëlsson, Eliisa Kekäläinen, Egle Kvedaraite and Jenny Mjösberg. Their work appears in journals such as EBioMedicine, Journal of Clinical Immunology, Molecular Medicine, Nature Communications and Haematologica.
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.