Indu Kohaar
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related molecular mechanisms research 6
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- Epigenetics and DNA Methylation 4
- Molecular Biology Techniques and Applications 3
- Co-authors
- György Petrovics (10 shared papers)Shiv Srivastava (7 shared papers)Mausumi Bharadwaj (8 shared papers)Bhudev C. Das (9 shared papers)Nisha Thakur (6 shared papers)Ludmila Prokunina‐Olsson (11 shared papers)Thomas R. OʼBrien (3 shared papers)Meredith Yeager (1 shared paper)
- Journals
- Genome biology (4 papers)Biomarkers (3 papers)International Journal of Molecular Sciences (2 papers)Cancer Research (2 papers)Nature reviews. Cancer (1 paper)
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Indu Kohaar
34 papers receiving 648 citations
Peers
Comparison fields: 5 of 80
- Hepatology 98
- Cancer Research 171
- Epidemiology 219
- Immunology 124
- Pulmonary and Respiratory Medicine 139
Countries citing papers authored by Indu Kohaar
This map shows the geographic impact of Indu Kohaar'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 Indu Kohaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indu Kohaar more than expected).
Fields of papers citing papers by Indu Kohaar
This network shows the impact of papers produced by Indu Kohaar. 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 Indu Kohaar. The network helps show where Indu Kohaar may publish in the future.
Co-authors
The 25 scholars most cited alongside Indu Kohaar, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2011 | 83 | |
| 3 | 2007 | 54 | |
| 4 | 2008 | 50 | |
| 5 | 2010 | 42 | |
| 6 | 2023 | 36 | |
| 7 | 2009 | 36 | |
| 8 | 2020 | 31 | |
| 9 | 2010 | 30 | |
| 10 | 2008 | 29 | |
| 11 | 2010 | 24 | |
| 12 | 2009 | 20 | |
| 13 | 2012 | 19 | |
| 14 | 2009 | 15 | |
| 15 | 2024 | 13 | |
| 16 | 2011 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2009 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Indu Kohaar
Indu Kohaar is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 34 papers that have together received 655 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (6 papers), Hepatitis B Virus Studies (5 papers), Cervical Cancer and HPV Research (5 papers), Epigenetics and DNA Methylation (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Hepatology (98 citations), Cancer Research (171 citations), Epidemiology (219 citations), Immunology (124 citations) and Pulmonary and Respiratory Medicine (139 citations). Indu Kohaar has collaborated with scholars based in United States, India and Norway. Frequent co-authors include György Petrovics, Shiv Srivastava, Mausumi Bharadwaj, Bhudev C. Das, Nisha Thakur, Ludmila Prokunina‐Olsson, Thomas R. OʼBrien, Meredith Yeager, Dennis Maeder and Vilas D. Nasare. Their work appears in journals such as Genome biology, Biomarkers, International Journal of Molecular Sciences, Cancer Research and Nature reviews. Cancer.
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.