Amit Sinha

6.3k citations
58 papers · 4.4k indexed · 3 hit papers · h-index 26

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 8
    • Acute Myeloid Leukemia Research 18

Amit Sinha

57 papers receiving 4.3k citations

Hit Papers

Chromatin-modifying enzymes as modulators of reprogramming 2012 · 488 citations
4882010202620152020200400600

Peers

Amit Sinha
Comparison fields: 5 of 113
  • Hematology 1.6k
  • Aging 133
  • Molecular Biology 3.5k
  • Cancer Research 389
  • Genetics 221
Replace Vivienne I. Rebel with:
Vivienne I. Rebel United States
Vincent Schulz United States
Rasmus O. Bak Denmark
Alla A. Sigova United States
Anthony G. Uren United Kingdom
Rachel M. Gerstein United States
Partha Pratim Das United States
Jayanta Chaudhuri United States
André Nussenzweig United States
Jane A. Skok United States
Amit Sinha relative to Vivienne I. Rebel United States Vivienne I. Rebel's profile →
Citations per field
00.5×3.2×
Vivienne I. Rebel · 1×
Citations per year

Countries citing papers authored by Amit Sinha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Amit Sinha Line = papers co-authored together Amit Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20231
4 202313
5 20237
6 202312
7 20237
8 201918
9 201931
10 2016166
11 20162
12 2016118
13 2015155
14 2014132
15 2012150
16 201214
17
The Wnt/β-Catenin Pathway Is Required for the Development of Leukemia Stem Cells in AML
Hit paper breakdown →
2010564
18 201028
19 2008396
20
Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines
20072

About Amit Sinha

Amit Sinha is a scholar working on Aging, Hematology, Parasitology, Molecular Biology and Insect Science, 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.

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