Swati Tiwari
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Health Informatics top 2%
- Co-authors
- Rohan GuptaRashmi K. AmbastaPravir KumarDevesh SrivastavaMehar SahuParitha ArumugamPunam MalikMarlene Carmo
- Topics
- Autoimmune and Inflammatory Disorders Research (4 papers)Parvovirus B19 Infection Studies (3 papers)Ubiquitin and proteasome pathways (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Swati Tiwari
18 papers receiving 956 citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 375
- Computational Theory and Mathematics 316
- Radiology, Nuclear Medicine and Imaging 99
- Artificial Intelligence 88
- Health Informatics 87
Countries citing papers authored by Swati Tiwari
This map shows the geographic impact of Swati Tiwari'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 Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Tiwari more than expected).
Fields of papers citing papers by Swati Tiwari
This network shows the impact of papers produced by Swati Tiwari. 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 Tiwari. The network helps show where Swati Tiwari may publish in the future.
Co-authorship network of co-authors of Swati Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Tiwari. A scholar is included among the top collaborators of Swati Tiwari 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 Tiwari. Swati Tiwari 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 | 84 | |
| 3 | Artificial intelligence to deep learning: machine intelligence approach for drug discoverybreakdown → | 795 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 37 | |
| 18 | 1 | |
| 19 | Identification of Brain Tumors in 2 D MRI Using Automatic Seeded Region Growing Method | 7 |
| 20 | Assessment of genetic diversity among rhizoctonia root rot resistant soybean genotypes | 5 |
About Swati Tiwari
Swati Tiwari is a scholar working on Complementary and Manual Therapy, Hematology and Infectious Diseases, having authored 21 papers that have together received 994 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (4 papers), Parvovirus B19 Infection Studies (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Health Informatics (87 citations), Computational Theory and Mathematics (316 citations) and Health Information Management (42 citations). Swati Tiwari has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rohan Gupta, Rashmi K. Ambasta, Pravir Kumar, Devesh Srivastava, Mehar Sahu, Paritha Arumugam, Punam Malik, Marlene Carmo, Michael B. Jordan and Kimberly Risma. Their work appears in journals such as Journal of Clinical Investigation, Blood and Molecular Therapy.
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.