Archana Thomas
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Microbiology top 5%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Vectors 3
-
- Immunotherapy and Immune Responses 3
- Co-authors
- Mark K. Slifka (16 shared papers)Surendra Dasari (6 shared papers)Ashok P. Reddy (7 shared papers)Thomas Jacob (7 shared papers)Xinfang Lu (7 shared papers)Michael G. Gravett (7 shared papers)Srinivasa R. Nagalla (7 shared papers)Charles T. Roberts (6 shared papers)
- Journals
- Journal of Proteome Research (6 papers)Nature Communications (3 papers)Vaccine (2 papers)Clinical Infectious Diseases (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesFinlandThailand
In The Last Decade
Archana Thomas
27 papers receiving 881 citations
Peers
Comparison fields: 5 of 93
- Obstetrics and Gynecology 163
- Microbiology 78
- Immunology 227
- Endocrinology 48
- Infectious Diseases 165
Countries citing papers authored by Archana Thomas
This map shows the geographic impact of Archana Thomas'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 Archana Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Thomas more than expected).
Fields of papers citing papers by Archana Thomas
This network shows the impact of papers produced by Archana Thomas. 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 Archana Thomas. The network helps show where Archana Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Archana Thomas, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 139 | |
| 2 | 2007 | 107 | |
| 3 | 2007 | 104 | |
| 4 | 2007 | 85 | |
| 5 | 2007 | 78 | |
| 6 | 2016 | 73 | |
| 7 | 2006 | 67 | |
| 8 | 2017 | 53 | |
| 9 | 2010 | 52 | |
| 10 | 2020 | 25 | |
| 11 | 2018 | 18 | |
| 12 | 2016 | 18 | |
| 13 | 2019 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 1991 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 5 |
About Archana Thomas
Archana Thomas is a scholar working on Infectious Diseases, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, having authored 27 papers that have together received 906 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (4 papers), Mosquito-borne diseases and control (4 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Pregnancy and preeclampsia studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunotherapy and Immune Responses (3 papers), Viral Infections and Vectors (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (163 citations), Microbiology (78 citations), Immunology (227 citations), Endocrinology (48 citations) and Infectious Diseases (165 citations). Archana Thomas has collaborated with scholars based in United States, Finland and Thailand. Frequent co-authors include Mark K. Slifka, Surendra Dasari, Ashok P. Reddy, Thomas Jacob, Xinfang Lu, Michael G. Gravett, Srinivasa R. Nagalla, Charles T. Roberts, Ian J. Amanna and Leonardo Pereira. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Vaccine, Clinical Infectious Diseases and Cell Reports.
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.