Manisha Dixit
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
- Urology top 10%
- Periodontal Regeneration and Treatments
Papers in
-
- Bone Metabolism and Diseases 7
- TGF-β signaling in diseases 3
- Metabolism, Diabetes, and Cancer 2
-
- Growth Hormone and Insulin-like Growth Factors 8
- Co-authors
- Shoshana Yakar (14 shared papers)Sher Bahadur Poudel (10 shared papers)Divya Singh (10 shared papers)Jyoti Kureel (5 shared papers)Mohd Nizam Mansoori (5 shared papers)Priyanka Shukla (4 shared papers)Kamini Srivastava (3 shared papers)Abdul Malik Tyagi (3 shared papers)
- Journals
- Toxicology in Vitro (6 papers)GeroScience (3 papers)Phytomedicine (3 papers)Journal of Bone and Mineral Research (2 papers)Cells (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Manisha Dixit
34 papers receiving 693 citations
Peers
Comparison fields: 5 of 104
- Orthopedics and Sports Medicine 75
- Urology 50
- Small Animals 39
- Endocrinology, Diabetes and Metabolism 79
- Molecular Biology 300
Countries citing papers authored by Manisha Dixit
This map shows the geographic impact of Manisha Dixit'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 Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Dixit more than expected).
Fields of papers citing papers by Manisha Dixit
This network shows the impact of papers produced by Manisha Dixit. 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 Dixit. The network helps show where Manisha Dixit may publish in the future.
Co-authors
The 25 scholars most cited alongside Manisha Dixit, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2014 | 93 | |
| 3 | 2016 | 62 | |
| 4 | 2017 | 46 | |
| 5 | 2015 | 43 | |
| 6 | 2020 | 39 | |
| 7 | 2013 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 1996 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2017 | 25 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 1986 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 1994 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2019 | 8 |
About Manisha Dixit
Manisha Dixit is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Small Animals, Physiology and Immunology, having authored 35 papers that have together received 703 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Bone Metabolism and Diseases (7 papers), Animal testing and alternatives (5 papers), Bone health and osteoporosis research (4 papers), TGF-β signaling in diseases (3 papers), 3D Printing in Biomedical Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (75 citations), Urology (50 citations), Small Animals (39 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Molecular Biology (300 citations). Manisha Dixit has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Shoshana Yakar, Sher Bahadur Poudel, Divya Singh, Jyoti Kureel, Mohd Nizam Mansoori, Priyanka Shukla, Kamini Srivastava, Abdul Malik Tyagi, Ritu Trivedi and Rakeshkumar Yadav. Their work appears in journals such as Toxicology in Vitro, GeroScience, Phytomedicine, Journal of Bone and Mineral Research and Cells.
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.