Archana Thomas
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Endocrinology top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Vectors 3
-
- Diphtheria, Corynebacterium, and Tetanus 3
- Co-authors
- Mark K. Slifka (16 shared papers)Surendra Dasari (6 shared papers)Ashok P. Reddy (7 shared papers)Michael G. Gravett (7 shared papers)Xinfang Lu (7 shared papers)Srinivasa R. Nagalla (7 shared papers)Thomas Jacob (7 shared papers)Ian J. Amanna (9 shared papers)
- Journals
- Journal of Proteome Research (6 papers)Nature Communications (3 papers)Vaccine (2 papers)The Journal of Infectious Diseases (1 paper)Experimental Gerontology (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Archana Thomas
27 papers receiving 965 citations
Peers
Comparison fields: 5 of 88
- Obstetrics and Gynecology 132
- Endocrinology 59
- Microbiology 67
- Immunology 205
- Infectious Diseases 173
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2007 | 112 | |
| 3 | 2007 | 108 | |
| 4 | 2016 | 89 | |
| 5 | 2007 | 88 | |
| 6 | 2007 | 81 | |
| 7 | 2006 | 73 | |
| 8 | 2010 | 57 | |
| 9 | 2017 | 56 | |
| 10 | 2020 | 39 | |
| 11 | 2018 | 22 | |
| 12 | 2016 | 20 | |
| 13 | 2019 | 15 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 6 |
About Archana Thomas
Archana Thomas is a scholar working on Infectious Diseases, Endocrinology, Microbiology, Obstetrics and Gynecology and Immunology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Preterm Birth and Chorioamnionitis (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Vectors (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Pregnancy and preeclampsia studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (132 citations), Endocrinology (59 citations), Microbiology (67 citations), Immunology (205 citations) and Infectious Diseases (173 citations). Archana Thomas has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Mark K. Slifka, Surendra Dasari, Ashok P. Reddy, Michael G. Gravett, Xinfang Lu, Srinivasa R. Nagalla, Thomas Jacob, Ian J. Amanna, Charles T. Roberts and Erika Hammarlund. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Vaccine, The Journal of Infectious Diseases and Experimental Gerontology.
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.