Swapnil Mahajan
- Immunology top 2%
- Immunotherapy and Immune Responses 4
- Infectious Diseases top 2%
-
- Monoclonal and Polyclonal Antibodies Research 6
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 10
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 6
- Glycosylation and Glycoproteins Research 2
- Microbiology top 5%
-
- Enzyme Structure and Function 6
-
- Computational Drug Discovery Methods 3
- Co-authors
- Bjoern PetersAlessandro SetteSandeep Kumar DhandaRandi VitaJames A. OvertonSinu PaulMorten NielsenXiaojun Xu
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Swapnil Mahajan
26 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 1.0k
- Infectious Diseases 585
- Radiology, Nuclear Medicine and Imaging 701
- Molecular Biology 2.0k
- Microbiology 117
Countries citing papers authored by Swapnil Mahajan
This map shows the geographic impact of Swapnil Mahajan'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 Swapnil Mahajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnil Mahajan more than expected).
Fields of papers citing papers by Swapnil Mahajan
This network shows the impact of papers produced by Swapnil Mahajan. 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 Swapnil Mahajan. The network helps show where Swapnil Mahajan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swapnil Mahajan, 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 | 2021 | 34 | |
| 2 | 2021 | 86 | |
| 3 | 2019 | 11 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 43 | |
| 6 | 2019 | 101 | |
| 7 | 2018 | 36 | |
| 8 | The Immune Epitope Database (IEDB): 2018 updatebreakdown → | 2018 | 1349 |
| 9 | 2017 | 14 | |
| 10 | The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Designbreakdown → | 2017 | 360 |
| 11 | 2015 | 57 | |
| 12 | 2014 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2012 | 18 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 105 | |
| 18 | Molecular mimicry in human diseases--phenomena or epiphenomena? | 2010 | 10 |
| 19 | 2004 | 7 | |
| 20 | T Lymphocyte Subsets in BALB/c Mice Infected with Different Strains of Giardia lambilia | 1994 | 1 |
About Swapnil Mahajan
Swapnil Mahajan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (10 papers), Protein Structure and Dynamics (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (6 papers), Immunotherapy and Immune Responses (4 papers), Computational Drug Discovery Methods (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (1.0k citations), Infectious Diseases (585 citations) and Radiology, Nuclear Medicine and Imaging (701 citations). Swapnil Mahajan has collaborated with scholars based in United States, India and France. Frequent co-authors include Bjoern Peters, Alessandro Sette, Sandeep Kumar Dhanda, Randi Vita, James A. Overton, Sinu Paul, Morten Nielsen, Xiaojun Xu, Ward Fleri and Martin Closter Jespersen. Their work appears in journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.
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.