Ankit Bhatta
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver physiology and pathology
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 2
- DNA and Nucleic Acid Chemistry 1
-
- Cancer-related molecular mechanisms research 3
- Co-authors
- Amir Shlomai (4 shared papers)Charles M. Rice (5 shared papers)Vyas Ramanan (4 shared papers)Sangeeta N. Bhatia (4 shared papers)Robert E. Schwartz (4 shared papers)Ype P. de Jong (2 shared papers)Maninjay Atianand (2 shared papers)Juliana Blin (2 shared papers)
- Journals
- Journal of Hepatology (2 papers)Analytical Biochemistry (1 paper)The Journal of Immunology (1 paper)Nature (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesNorwayIsrael
In The Last Decade
Ankit Bhatta
8 papers receiving 1.0k citations
Ankit Bhatta's Hit Papers
Peers
Comparison fields: 5 of 86
- Hepatology 229
- Cancer Research 328
- Business and International Management 36
- Epidemiology 315
- Aging 16
Countries citing papers authored by Ankit Bhatta
This map shows the geographic impact of Ankit Bhatta'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 Ankit Bhatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Bhatta more than expected).
Fields of papers citing papers by Ankit Bhatta
This network shows the impact of papers produced by Ankit Bhatta. 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 Ankit Bhatta. The network helps show where Ankit Bhatta may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Bhatta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 373 | |
| 2 | CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus Hit paper breakdown → | 2015 | 254 |
| 3 | Modeling host interactions with hepatitis B virus using primary and induced pluripotent stem cell-derived hepatocellular systems Hit paper breakdown → | 2014 | 209 |
| 4 | 2019 | 70 | |
| 5 | 2016 | 69 | |
| 6 | 2012 | 62 | |
| 7 | CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus | 2015 | 7 |
| 8 | 2022 | 3 | |
| 9 | 2015 | 0 |
About Ankit Bhatta
Ankit Bhatta is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Epidemiology and Immunology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers), Hepatitis B Virus Studies (2 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), RNA modifications and cancer (2 papers), DNA and Nucleic Acid Chemistry (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hepatology (229 citations), Cancer Research (328 citations), Business and International Management (36 citations), Epidemiology (315 citations) and Aging (16 citations). Ankit Bhatta has collaborated with scholars based in United States, Norway and Israel. Frequent co-authors include Amir Shlomai, Charles M. Rice, Vyas Ramanan, Sangeeta N. Bhatia, Robert E. Schwartz, Ype P. de Jong, Maninjay Atianand, Juliana Blin, Katherine A. Fitzgerald and Eleftherios Michailidis. Their work appears in journals such as Journal of Hepatology, Analytical Biochemistry, The Journal of Immunology, Nature 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.