Mansi Garg
Impact in
- Aging top 10%
Papers in
-
- Protein Structure and Dynamics 2
- DNA Repair Mechanisms 2
- PI3K/AKT/mTOR signaling in cancer 1
-
- Research on Leishmaniasis Studies 3
- Co-authors
- Alessandro Bianchi (3 shared papers)Anoushka Davé (3 shared papers)Neena Goyal (3 shared papers)Raj Kumar (2 shared papers)Monika Chauhan (2 shared papers)Jimi Marin Alex (1 shared paper)Pankaj Kumar Singh (1 shared paper)Kathryn A. Patras (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)EMBO Reports (2 papers)Biophysical Chemistry (2 papers)European Journal of Medicinal Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Mansi Garg
20 papers receiving 464 citations
Peers
Comparison fields: 5 of 86
- Aging 29
- Biological Psychiatry 16
- Public Health, Environmental and Occupational Health 137
- Molecular Biology 240
- Microbiology 21
Countries citing papers authored by Mansi Garg
This map shows the geographic impact of Mansi Garg'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 Mansi Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansi Garg more than expected).
Fields of papers citing papers by Mansi Garg
This network shows the impact of papers produced by Mansi Garg. 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 Mansi Garg. The network helps show where Mansi Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Mansi Garg, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2013 | 75 | |
| 3 | 2014 | 56 | |
| 4 | 2022 | 42 | |
| 5 | 2011 | 32 | |
| 6 | 2014 | 29 | |
| 7 | 2017 | 25 | |
| 8 | 2007 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2014 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Mansi Garg
Mansi Garg is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Organic Chemistry, General Health Professions and Epidemiology, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (3 papers), Protein Structure and Dynamics (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers), DNA Repair Mechanisms (2 papers), Ionic liquids properties and applications (2 papers), Trypanosoma species research and implications (2 papers) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Aging (29 citations), Biological Psychiatry (16 citations), Public Health, Environmental and Occupational Health (137 citations), Molecular Biology (240 citations) and Microbiology (21 citations). Mansi Garg has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Alessandro Bianchi, Anoushka Davé, Neena Goyal, Raj Kumar, Monika Chauhan, Jimi Marin Alex, Pankaj Kumar Singh, Kathryn A. Patras, Joshua Fierer and Tamsin R. Sheen. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, EMBO Reports, Biophysical Chemistry, European Journal of Medicinal Chemistry and Scientific 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.