Manisha Sinha
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in ⓘ
- Aging 1
- Co-authors
- Ronald A. DePinho (3 shared papers)Nabeel Bardeesy (3 shared papers)Craig L. Peterson (4 shared papers)Mark Redston (1 shared paper)James W. Horner (1 shared paper)Andrew J. Aguirre (1 shared paper)David A. Tuveson (1 shared paper)Lyle V. Lopez (1 shared paper)
- Journals
- Cell (2 papers)Cell Reports (1 paper)Nature (1 paper)Science (1 paper)Epigenomics (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Manisha Sinha
31 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 234
- Molecular Biology 2.1k
- Oncology 795
- Cancer Research 411
- Physiology 575
Countries citing papers authored by Manisha Sinha
This map shows the geographic impact of Manisha 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 Manisha Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Sinha more than expected).
Fields of papers citing papers by Manisha Sinha
This network shows the impact of papers produced by Manisha 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 Manisha Sinha. The network helps show where Manisha Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Manisha 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma Hit paper breakdown → | 2003 | 765 |
| 2 | Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy Hit paper breakdown → | 2013 | 699 |
| 3 | Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle Hit paper breakdown → | 2014 | 621 |
| 4 | 2002 | 348 | |
| 5 | 2008 | 284 | |
| 6 | 2011 | 107 | |
| 7 | 2009 | 63 | |
| 8 | 2021 | 59 | |
| 9 | 2002 | 52 | |
| 10 | 2009 | 52 | |
| 11 | 2001 | 46 | |
| 12 | 2007 | 41 | |
| 13 | 2008 | 29 | |
| 14 | 2006 | 27 | |
| 15 | 1999 | 22 | |
| 16 | 2013 | 11 | |
| 17 | A Focused Review – Thoracolumbar Spine: Anatomy, Biomechanics and Clinical Significance | 2014 | 6 |
| 18 | 2018 | 6 | |
| 19 | Role of T-scan in Digital Occlusal Analysis – A Review | 2018 | 4 |
| 20 | 2014 | 4 |
About Manisha Sinha
Manisha Sinha is a scholar working on Aging, Complementary and Manual Therapy, Rheumatology, Surgery and Urology, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (5 papers), Genomics and Chromatin Dynamics (5 papers), Peripheral Nerve Disorders (4 papers), Muscle Physiology and Disorders (4 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Hip disorders and treatments (2 papers). The work is most often cited by research in Aging (234 citations), Molecular Biology (2.1k citations), Oncology (795 citations), Cancer Research (411 citations) and Physiology (575 citations). Manisha Sinha has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Ronald A. DePinho, Nabeel Bardeesy, Craig L. Peterson, Mark Redston, James W. Horner, Andrew J. Aguirre, David A. Tuveson, Lyle V. Lopez, Amy J. Wagers and Zhiping Weng. Their work appears in journals such as Cell, Cell Reports, Nature, Science and Epigenomics.
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.