Ankit Patel
Impact in
-
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
- Oncology 6
- Cancer Cells and Metastasis 2
- Pancreatic and Hepatic Oncology Research 2
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Li Yan (8 shared papers)Kazuaki Takabe (8 shared papers)Masanori Oshi (8 shared papers)Yoshihisa Tokumaru (7 shared papers)Ryusei Matsuyama (4 shared papers)Itaru Endo (4 shared papers)Lan Le (2 shared papers)Rongrong Wu (3 shared papers)
- Journals
- Cancers (2 papers)Gastroenterology (2 papers)Clinical Cancer Research (1 paper)Journal of Cardiac Failure (1 paper)Journal of Pain (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Ankit Patel
25 papers receiving 293 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 45
- Hepatology 19
- Oncology 64
- Immunology 37
- Genetics 17
Countries citing papers authored by Ankit Patel
This map shows the geographic impact of Ankit Patel'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 Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Patel more than expected).
Fields of papers citing papers by Ankit Patel
This network shows the impact of papers produced by Ankit Patel. 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 Patel. The network helps show where Ankit Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Patel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | G2M checkpoint pathway alone is associated with drug response and survival among cell proliferation-related pathways in pancreatic cancer. | 2021 | 46 |
| 2 | 2012 | 38 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 21 | |
| 7 | 2014 | 17 | |
| 8 | 2015 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2008 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2011 | 8 | |
| 14 | Low expression of miR-195 is associated with cell proliferation, glycolysis and poor survival in estrogen receptor (ER)-positive but not in triple negative breast cancer. | 2021 | 8 |
| 15 | 2023 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Ankit Patel
Ankit Patel is a scholar working on Oncology, Epidemiology, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 296 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Child Therapy and Development (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cancer Research (45 citations), Hepatology (19 citations), Oncology (64 citations), Immunology (37 citations) and Genetics (17 citations). Ankit Patel has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Li Yan, Kazuaki Takabe, Masanori Oshi, Yoshihisa Tokumaru, Ryusei Matsuyama, Itaru Endo, Lan Le, Rongrong Wu, Takashi Ishikawa and Anil K. Gehi. Their work appears in journals such as Cancers, Gastroenterology, Clinical Cancer Research, Journal of Cardiac Failure and Journal of Pain.
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.