Amit Sinha
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Aging top 2%
Papers in
-
- Epigenetics and DNA Methylation 18
- Genomics and Chromatin Dynamics 9
- Protein Degradation and Inhibitors 7
- Cancer-related gene regulation 5
- Genomics and Phylogenetic Studies 5
- Hematology 19
- Acute Myeloid Leukemia Research 18
- Co-authors
- Scott A. Armstrong (23 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)Kathrin M. Bernt (7 shared papers)
- Journals
- Blood (6 papers)Cancer Cell (4 papers)BMC Genomics (3 papers)PLoS ONE (3 papers)Nature Communications (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Amit Sinha
58 papers receiving 4.5k citations
Amit Sinha's Hit Papers
Peers
Comparison fields: 5 of 116
- Hematology 1.6k
- Aging 138
- Molecular Biology 3.5k
- Cancer Research 361
- Genetics 225
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 59 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 | 673 |
| 2 | The Wnt/β-Catenin Pathway Is Required for the Development of Leukemia Stem Cells in AML Hit paper breakdown → | 2010 | 583 |
| 3 | Chromatin-modifying enzymes as modulators of reprogramming Hit paper breakdown → | 2012 | 508 |
| 4 | 2008 | 428 | |
| 5 | 2012 | 185 | |
| 6 | 2016 | 172 | |
| 7 | 2015 | 166 | |
| 8 | 2012 | 156 | |
| 9 | 2012 | 152 | |
| 10 | 2013 | 141 | |
| 11 | 2014 | 141 | |
| 12 | 2014 | 135 | |
| 13 | 2016 | 123 | |
| 14 | 2012 | 113 | |
| 15 | 2007 | 108 | |
| 16 | 2018 | 94 | |
| 17 | 2005 | 78 | |
| 18 | 2016 | 65 | |
| 19 | 2017 | 48 | |
| 20 | 2012 | 43 |
About Amit Sinha
Amit Sinha is a scholar working on Molecular Biology, Hematology, Aging, Infectious Diseases and Insect Science, having authored 59 papers that have together received 4.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 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), Cancer-related gene regulation (5 papers), Genomics and Phylogenetic Studies (5 papers) and Insect symbiosis and bacterial influences (5 papers). The work is most often cited by research in Hematology (1.6k citations), Aging (138 citations), Molecular Biology (3.5k citations), Cancer Research (361 citations) and Genetics (225 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, Kathrin M. Bernt, Leonard I. Zon and Trista E. North. Their work appears in journals such as Blood, Cancer Cell, BMC Genomics, PLoS ONE and Nature Communications.
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.