Ruby Dhar
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
-
- Reproductive System and Pregnancy
Papers in
-
- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 3
- Oncology 13
- Co-authors
- Subhradip Karmakar (64 shared papers)Karthikeyan Pethusamy (13 shared papers)Chandana Das (3 shared papers)Sunil Singh (5 shared papers)Babban Jee (3 shared papers)Indranil Chattopadhyay (2 shared papers)Indrani Mukherjee (7 shared papers)Jyoti Sharma (1 shared paper)
- Journals
- Placenta (3 papers)Applied Biochemistry and Biotechnology (2 papers)Frontiers in Oncology (2 papers)Risk Management and Healthcare Policy (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Ruby Dhar
58 papers receiving 766 citations
Peers
Comparison fields: 5 of 113
- Obstetrics and Gynecology 122
- Immunology 122
- Cancer Research 81
- Molecular Biology 363
- Reproductive Medicine 35
Countries citing papers authored by Ruby Dhar
This map shows the geographic impact of Ruby Dhar'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 Ruby Dhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Dhar more than expected).
Fields of papers citing papers by Ruby Dhar
This network shows the impact of papers produced by Ruby Dhar. 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 Ruby Dhar. The network helps show where Ruby Dhar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby Dhar, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 157 | |
| 2 | 2021 | 94 | |
| 3 | 2004 | 59 | |
| 4 | 2021 | 52 | |
| 5 | 2021 | 46 | |
| 6 | 2002 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2025 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2021 | 8 |
About Ruby Dhar
Ruby Dhar is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Genetics, having authored 69 papers that have together received 780 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), Pregnancy and preeclampsia studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Estrogen and related hormone effects (4 papers), Epigenetics and DNA Methylation (4 papers), COVID-19 Clinical Research Studies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Obstetrics and Gynecology (122 citations), Immunology (122 citations), Cancer Research (81 citations), Molecular Biology (363 citations) and Reproductive Medicine (35 citations). Ruby Dhar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Subhradip Karmakar, Karthikeyan Pethusamy, Chandana Das, Sunil Singh, Babban Jee, Indranil Chattopadhyay, Indrani Mukherjee, Jyoti Sharma, Maria T. Baquero and Parantu K. Shah. Their work appears in journals such as Placenta, Applied Biochemistry and Biotechnology, Frontiers in Oncology, Risk Management and Healthcare Policy and Journal of Clinical Oncology.
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.