Damini Sood
Impact in
- Organic Chemistry top 10%
- Synthesis and biological activity
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- Computational Drug Discovery Methods
Papers in
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- vaccines and immunoinformatics approaches 6
- Protein Interaction Studies and Fluorescence Analysis 6
- Cancer therapeutics and mechanisms 5
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- Synthesis and biological activity 3
- Co-authors
- Neeraj Kumar (18 shared papers)Vartika Tomar (11 shared papers)Ramesh Chandra (11 shared papers)Ramesh Chandra (3 shared papers)Heerak Chugh (3 shared papers)Gagan Dhawan (1 shared paper)Ravi Tomar (6 shared papers)Ramesh Chandra (6 shared papers)
In The Last Decade
Damini Sood
23 papers receiving 904 citations
Peers
Comparison fields: 5 of 101
- Organic Chemistry 232
- Computational Theory and Mathematics 112
- Biomaterials 85
- Molecular Biology 411
- Catalysis 41
Countries citing papers authored by Damini Sood
This map shows the geographic impact of Damini Sood'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 Damini Sood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damini Sood more than expected).
Fields of papers citing papers by Damini Sood
This network shows the impact of papers produced by Damini Sood. 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 Damini Sood. The network helps show where Damini Sood may publish in the future.
Co-authors
The 25 scholars most cited alongside Damini Sood, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 226 | |
| 2 | 2019 | 76 | |
| 3 | 2018 | 74 | |
| 4 | 2020 | 61 | |
| 5 | 2020 | 49 | |
| 6 | 2020 | 46 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 39 | |
| 9 | 2019 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2018 | 31 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2021 | 24 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 16 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2018 | 9 |
About Damini Sood
Damini Sood is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Immunology, having authored 23 papers that have together received 912 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (6 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Cancer therapeutics and mechanisms (5 papers), Immunotherapy and Immune Responses (4 papers), Synthesis and biological activity (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Organic Chemistry (232 citations), Computational Theory and Mathematics (112 citations), Biomaterials (85 citations), Molecular Biology (411 citations) and Catalysis (41 citations). Damini Sood has collaborated with scholars based in India, Canada and Norway. Frequent co-authors include Neeraj Kumar, Vartika Tomar, Ramesh Chandra, Ramesh Chandra, Heerak Chugh, Gagan Dhawan, Ravi Tomar, Ramesh Chandra, Garima Rathee and Amardeep Awasthi. Their work appears in journals such as Scientific Reports, ACS Omega, Current Topics in Medicinal Chemistry, Journal of Molecular Liquids and Bioscience Reports.
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.