Nishant Singhal
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Renal and related cancers
- Chromatin Remodeling and Cancer
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- MicroRNA in disease regulation
Papers in
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- Pluripotent Stem Cells Research 7
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- Chromatin Remodeling and Cancer 2
- Cancer-related gene regulation 2
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- Reproductive Biology and Fertility 2
- Co-authors
- Hans R. Schöler (4 shared papers)Dong‐Wook Han (2 shared papers)Luca Gentile (2 shared papers)Guangming Wu (2 shared papers)Marcos J. Araúzo‐Bravo (2 shared papers)Boris Greber (1 shared paper)Matthias Mann (1 shared paper)Johannes Graumann (1 shared paper)
- Journals
- Stem Cell Research (3 papers)Nature Cell Biology (1 paper)European Journal of Biochemistry (1 paper)PLoS Genetics (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Nishant Singhal
11 papers receiving 507 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 465
- Cancer Research 68
- Aging 6
- Hepatology 24
- Genetics 56
Countries citing papers authored by Nishant Singhal
This map shows the geographic impact of Nishant Singhal'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 Nishant Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Singhal more than expected).
Fields of papers citing papers by Nishant Singhal
This network shows the impact of papers produced by Nishant Singhal. 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 Nishant Singhal. The network helps show where Nishant Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Nishant Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 294 | |
| 2 | 2013 | 85 | |
| 3 | 2011 | 65 | |
| 4 | 2014 | 17 | |
| 5 | 2002 | 14 | |
| 6 | 2023 | 14 | |
| 7 | 2016 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 0 |
About Nishant Singhal
Nishant Singhal is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Surgery, having authored 12 papers that have together received 511 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Chromatin Remodeling and Cancer (2 papers), Reproductive Biology and Fertility (2 papers), Cancer-related gene regulation (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Molecular Biology (465 citations), Cancer Research (68 citations), Aging (6 citations), Hepatology (24 citations) and Genetics (56 citations). Nishant Singhal has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Hans R. Schöler, Dong‐Wook Han, Luca Gentile, Guangming Wu, Marcos J. Araúzo‐Bravo, Boris Greber, Matthias Mann, Johannes Graumann, Claudia Ortmeier and Kenjiro Adachi. Their work appears in journals such as Stem Cell Research, Nature Cell Biology, European Journal of Biochemistry, PLoS Genetics and Frontiers in Genetics.
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.