Ankit Sinha
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
Papers in
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- Advanced Proteomics Techniques and Applications 9
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- Extracellular vesicles in disease 6
- Epigenetics and DNA Methylation 2
- vaccines and immunoinformatics approaches 2
- Co-authors
- Thomas Kislinger (17 shared papers)Alexandr Ignatchenko (6 shared papers)Vladimir Ignatchenko (7 shared papers)Javier A. Alfaro (4 shared papers)Paul Christopher Boutros (3 shared papers)Simona Principe (4 shared papers)Salvador Mejia‐Guerrero (3 shared papers)Matthias Mann (4 shared papers)
- Journals
- PROTEOMICS (4 papers)Nature Communications (3 papers)Cancer Cell (3 papers)Nature (2 papers)Nature Cell Biology (2 papers)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Ankit Sinha
35 papers receiving 2.7k citations
Ankit Sinha's Hit Papers
Peers
Comparison fields: 5 of 96
- Hepatology 657
- Spectroscopy 304
- Oncology 390
- Cancer Research 199
- Molecular Biology 788
Countries citing papers authored by Ankit Sinha
This map shows the geographic impact of Ankit Sinha'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 Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Sinha more than expected).
Fields of papers citing papers by Ankit Sinha
This network shows the impact of papers produced by Ankit Sinha. 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 Sinha. The network helps show where Ankit Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Sinha, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NASH limits anti-tumour surveillance in immunotherapy-treated HCC Hit paper breakdown → | 2021 | 1029 |
| 2 | 2019 | 189 | |
| 3 | 2013 | 143 | |
| 4 | 2017 | 119 | |
| 5 | 2017 | 115 | |
| 6 | 2014 | 113 | |
| 7 | 2016 | 111 | |
| 8 | 2014 | 107 | |
| 9 | 2013 | 104 | |
| 10 | 2018 | 78 | |
| 11 | Spatial proteomics identifies JAKi as treatment for a lethal skin disease Hit paper breakdown → | 2024 | 77 |
| 12 | 2020 | 60 | |
| 13 | 2019 | 53 | |
| 14 | 2016 | 48 | |
| 15 | 2017 | 41 | |
| 16 | 2017 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2019 | 31 | |
| 19 | 2014 | 30 | |
| 20 | 2018 | 30 |
About Ankit Sinha
Ankit Sinha is a scholar working on Spectroscopy, Molecular Biology, Oncology, Genetics and Immunology, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Extracellular vesicles in disease (6 papers), Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Glioma Diagnosis and Treatment (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Hepatology (657 citations), Spectroscopy (304 citations), Oncology (390 citations), Cancer Research (199 citations) and Molecular Biology (788 citations). Ankit Sinha has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Thomas Kislinger, Alexandr Ignatchenko, Vladimir Ignatchenko, Javier A. Alfaro, Paul Christopher Boutros, Simona Principe, Salvador Mejia‐Guerrero, Matthias Mann, Fei‐Fei Liu and Jeff P. Bruce. Their work appears in journals such as PROTEOMICS, Nature Communications, Cancer Cell, Nature and Nature Cell Biology.
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.