Marcin Kwissa
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Virology top 5%
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 14
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 3
-
- Hepatitis B Virus Studies 5
- Influenza Virus Research Studies 3
- Co-authors
- Bali Pulendran (8 shared papers)Helder I. Nakaya (4 shared papers)Sudhir Pai Kasturi (2 shared papers)François Villinger (3 shared papers)Niren Murthy (2 shared papers)Shelley Stewart (1 shared paper)John Steel (1 shared paper)Munir Alam (1 shared paper)
- Journals
- Journal of Molecular Medicine (4 papers)Inflammation Research (1 paper)Vaccine (1 paper)Immunity (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Marcin Kwissa
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.3k
- Virology 137
- Infectious Diseases 496
- Microbiology 103
- Epidemiology 433
Countries citing papers authored by Marcin Kwissa
This map shows the geographic impact of Marcin Kwissa'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 Marcin Kwissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Kwissa more than expected).
Fields of papers citing papers by Marcin Kwissa
This network shows the impact of papers produced by Marcin Kwissa. 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 Marcin Kwissa. The network helps show where Marcin Kwissa may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Kwissa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Programming the magnitude and persistence of antibody responses with innate immunity Hit paper breakdown → | 2011 | 754 |
| 2 | 2015 | 211 | |
| 3 | 2019 | 190 | |
| 4 | 2012 | 167 | |
| 5 | 2014 | 160 | |
| 6 | 2012 | 101 | |
| 7 | 2007 | 80 | |
| 8 | 2007 | 70 | |
| 9 | 2003 | 45 | |
| 10 | 2001 | 43 | |
| 11 | 2003 | 40 | |
| 12 | 2000 | 37 | |
| 13 | 2003 | 36 | |
| 14 | 2002 | 27 | |
| 15 | 2000 | 25 | |
| 16 | 2006 | 21 | |
| 17 | 2000 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2002 | 3 |
About Marcin Kwissa
Marcin Kwissa is a scholar working on Immunology, Epidemiology, Molecular Biology, Virology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Immune Response and Inflammation (8 papers), RNA Interference and Gene Delivery (5 papers), Hepatitis B Virus Studies (5 papers), HIV Research and Treatment (3 papers), Influenza Virus Research Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Immunology (1.3k citations), Virology (137 citations), Infectious Diseases (496 citations), Microbiology (103 citations) and Epidemiology (433 citations). Marcin Kwissa has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Bali Pulendran, Helder I. Nakaya, Sudhir Pai Kasturi, François Villinger, Niren Murthy, Shelley Stewart, John Steel, Munir Alam, Rajesh Ravindran and Dimitrios Koutsonanos. Their work appears in journals such as Journal of Molecular Medicine, Inflammation Research, Vaccine, Immunity and Cell Host & Microbe.
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.