Shivani Patel
- Molecular Biology
- Organic Chemistry
- Dermatology top 5%
- Computational Theory and Mathematics top 5%
- Pathology and Forensic Medicine
- Co-authors
- Mahesh T. ChhabriaPalmi ModiJaykant VoraNeeta ShrivastavaSonam SinhaEmily BoozalisSewon KangOlive Tang
- Topics
- Computational Drug Discovery Methods (9 papers)Synthesis and biological activity (7 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- Journal of the American Academy of DermatologyInternational Journal of Biological MacromoleculesBrain Behavior and Immunity
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Shivani Patel
19 papers receiving 617 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 143
- Organic Chemistry 139
- Dermatology 121
- Computational Theory and Mathematics 113
- Pathology and Forensic Medicine 67
Countries citing papers authored by Shivani Patel
This map shows the geographic impact of Shivani Patel'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 Shivani Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivani Patel more than expected).
Fields of papers citing papers by Shivani Patel
This network shows the impact of papers produced by Shivani Patel. 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 Shivani Patel. The network helps show where Shivani Patel may publish in the future.
Co-authorship network of co-authors of Shivani Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Patel. A scholar is included among the top collaborators of Shivani Patel 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 Shivani Patel. Shivani Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 19 | |
| 7 | 0 | |
| 8 | 53 | |
| 9 | 33 | |
| 10 | 59 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 120 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 46 | |
| 18 | 96 | |
| 19 | 6 | |
| 20 | 72 |
About Shivani Patel
Shivani Patel is a scholar working on Computational Theory and Mathematics, Behavioral Neuroscience and Organic Chemistry, having authored 22 papers that have together received 628 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Synthesis and biological activity (7 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Dermatology (121 citations), Biological Psychiatry (21 citations) and Computational Theory and Mathematics (113 citations). Shivani Patel has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Mahesh T. Chhabria, Palmi Modi, Jaykant Vora, Neeta Shrivastava, Sonam Sinha, Emily Boozalis, Sewon Kang, Olive Tang, Shawn G. Kwatra and Manuel P. Pereira. Their work appears in journals such as Journal of the American Academy of Dermatology, International Journal of Biological Macromolecules and Brain Behavior and Immunity.
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.