Swati Choudhary
- Molecular Biology top 10%
- Plant Science top 10%
- Pharmacology top 5%
- Biomedical Engineering
- Cancer Research
- Co-authors
- Claudia Schmidt‐DannertMaureen B. QuinClaudia Schmidt-DannertGrayson T. WawrzynHeng-Chi LeeMekhala MaitiFernando López‐GallegoEthan Johnson
- Topics
- Glycosylation and Glycoproteins Research (7 papers)CRISPR and Genetic Engineering (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Partner nations
- IndiaUnited StatesDenmark
In The Last Decade
Swati Choudhary
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 778
- Plant Science 230
- Pharmacology 188
- Biomedical Engineering 155
- Cancer Research 123
Countries citing papers authored by Swati Choudhary
This map shows the geographic impact of Swati Choudhary'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 Swati Choudhary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Choudhary more than expected).
Fields of papers citing papers by Swati Choudhary
This network shows the impact of papers produced by Swati Choudhary. 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 Swati Choudhary. The network helps show where Swati Choudhary may publish in the future.
Co-authorship network of co-authors of Swati Choudhary
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Choudhary. A scholar is included among the top collaborators of Swati Choudhary 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 Swati Choudhary. Swati Choudhary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 32 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | Investigation of the Effects of Aerobic Exercise Programs on Hematological Parameters of Sedentary People | 0 |
| 13 | Comparative effect of SAQ and circuit training programme on selected physical fitness variables of school level basketball players | 4 |
| 14 | 8 | |
| 15 | 60 | |
| 16 | 139 | |
| 17 | 139 | |
| 18 | 48 | |
| 19 | 67 | |
| 20 | 118 |
About Swati Choudhary
Swati Choudhary is a scholar working on Research and Theory, Psychiatry and Mental health and Physical Therapy, Sports Therapy and Rehabilitation, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), CRISPR and Genetic Engineering (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Endocrinology (80 citations), Biotechnology (118 citations) and Molecular Biology (778 citations). Swati Choudhary has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include Claudia Schmidt‐Dannert, Maureen B. Quin, Claudia Schmidt-Dannert, Grayson T. Wawrzyn, Heng-Chi Lee, Mekhala Maiti, Fernando López‐Gallego, Ethan Johnson, Dennis H. Bamford and Yi Liu. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.