Anita Das
- Epidemiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 0.5%
- Obstetrics and Gynecology top 0.5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Co-authors
- Robert L. GoldenbergPaul J. MeisGary R. ThurnauDonald McNellisBrian M. MercerSteve N. CaritisJay D. IamsMenachem Miodovnik
- Topics
- Preterm Birth and Chorioamnionitis (44 papers)Antimicrobial Resistance in Staphylococcus (23 papers)Bacterial Identification and Susceptibility Testing (15 papers)
- Partner nations
- United StatesCameroonUnited Kingdom
In The Last Decade
Anita Das
124 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Epidemiology 3.1k
- Public Health, Environmental and Occupational Health 2.4k
- Infectious Diseases 1.7k
- Obstetrics and Gynecology 1.2k
- Pediatrics, Perinatology and Child Health 1.1k
Countries citing papers authored by Anita Das
This map shows the geographic impact of Anita Das'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 Anita Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Das more than expected).
Fields of papers citing papers by Anita Das
This network shows the impact of papers produced by Anita Das. 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 Anita Das. The network helps show where Anita Das may publish in the future.
Co-authorship network of co-authors of Anita Das
This figure shows the co-authorship network connecting the top 25 collaborators of Anita Das. A scholar is included among the top collaborators of Anita Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anita Das. Anita Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 95 | |
| 8 | Evaluering av chat‐, svar‐ og telefontjenester | 0 |
| 9 | 73 | |
| 10 | 53 | |
| 11 | 11 | |
| 12 | 58 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | Estimation of the Time of Death by Evaluating Histological Changes in the Pulp | 6 |
| 16 | 75 | |
| 17 | 195 | |
| 18 | 48 | |
| 19 | 24 | |
| 20 | 66 |
About Anita Das
Anita Das is a scholar working on Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 126 papers that have together received 6.3k indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (44 papers), Antimicrobial Resistance in Staphylococcus (23 papers) and Bacterial Identification and Susceptibility Testing (15 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (408 citations), Obstetrics and Gynecology (1.2k citations) and Molecular Medicine (710 citations). Anita Das has collaborated with scholars based in United States, Cameroon and United Kingdom. Frequent co-authors include Robert L. Goldenberg, Paul J. Meis, Gary R. Thurnau, Donald McNellis, Brian M. Mercer, Steve N. Caritis, Jay D. Iams, Menachem Miodovnik, Carisa De Anda and Philippe Prokocimer. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Investigation.
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.