Amit Sinha
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Aging top 2%
Papers in
-
- Epigenetics and DNA Methylation 19
- Genomics and Chromatin Dynamics 9
- Protein Degradation and Inhibitors 7
- Genomics and Phylogenetic Studies 7
- Cancer-related gene regulation 5
- Hematology 19
- Acute Myeloid Leukemia Research 18
- Co-authors
- Scott A. Armstrong (25 shared papers)Andrei V. Krivtsov (11 shared papers)Nan Zhu (8 shared papers)Zhaohui Feng (3 shared papers)Andrew L. Kung (5 shared papers)Joerg Faber (3 shared papers)Sridhar Vempati (2 shared papers)Trista E. North (2 shared papers)
- Journals
- Blood (6 papers)Cancer Cell (4 papers)Nature Communications (3 papers)BMC Genomics (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Amit Sinha
57 papers receiving 4.3k citations
Amit Sinha's Hit Papers
Peers
Comparison fields: 5 of 113
- Hematology 1.6k
- Aging 133
- Molecular Biology 3.5k
- Cancer Research 389
- Genetics 221
Countries citing papers authored by Amit Sinha
This map shows the geographic impact of Amit 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 Amit Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Sinha more than expected).
Fields of papers citing papers by Amit Sinha
This network shows the impact of papers produced by Amit 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 Amit Sinha. The network helps show where Amit Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MLL-Rearranged Leukemia Is Dependent on Aberrant H3K79 Methylation by DOT1L Hit paper breakdown → | 2011 | 642 |
| 2 | The Wnt/β-Catenin Pathway Is Required for the Development of Leukemia Stem Cells in AML Hit paper breakdown → | 2010 | 564 |
| 3 | Chromatin-modifying enzymes as modulators of reprogramming Hit paper breakdown → | 2012 | 488 |
| 4 | 2008 | 396 | |
| 5 | 2012 | 179 | |
| 6 | 2016 | 166 | |
| 7 | 2015 | 155 | |
| 8 | 2012 | 151 | |
| 9 | 2012 | 150 | |
| 10 | 2014 | 135 | |
| 11 | 2014 | 132 | |
| 12 | 2013 | 131 | |
| 13 | 2016 | 118 | |
| 14 | 2012 | 107 | |
| 15 | 2007 | 101 | |
| 16 | 2018 | 90 | |
| 17 | 2005 | 71 | |
| 18 | 2016 | 63 | |
| 19 | 2017 | 46 | |
| 20 | 2012 | 43 |
About Amit Sinha
Amit Sinha is a scholar working on Molecular Biology, Hematology, Aging, Insect Science and Infectious Diseases, having authored 58 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), Acute Myeloid Leukemia Research (18 papers), Genomics and Chromatin Dynamics (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Protein Degradation and Inhibitors (7 papers), Genomics and Phylogenetic Studies (7 papers), Insect symbiosis and bacterial influences (6 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Hematology (1.6k citations), Aging (133 citations), Molecular Biology (3.5k citations), Cancer Research (389 citations) and Genetics (221 citations). Amit Sinha has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Scott A. Armstrong, Andrei V. Krivtsov, Nan Zhu, Zhaohui Feng, Andrew L. Kung, Joerg Faber, Sridhar Vempati, Trista E. North, Leonard I. Zon and Jenny Wang. Their work appears in journals such as Blood, Cancer Cell, Nature Communications, BMC Genomics and PLoS ONE.
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.