Mamta Joshi
Impact in
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- Pituitary Gland Disorders and Treatments
- Adrenal Hormones and Disorders
- Growth Hormone and Insulin-like Growth Factors
- Neurology top 10%
- Neuroblastoma Research and Treatments
Papers in
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- Diabetes Management and Research 4
- Pituitary Gland Disorders and Treatments 3
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- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Paul Carroll (6 shared papers)Ben Whitelaw (2 shared papers)Yin Wu (1 shared paper)Pratik Choudhary (1 shared paper)Łukasz Polański (1 shared paper)Samantha Anandappa (1 shared paper)Katharina Schilbach (1 shared paper)Jochen Schopohl (1 shared paper)
- Journals
- Diabetes (2 papers)Clinical Endocrinology (2 papers)European Journal of Endocrinology (1 paper)Current Diabetes Reports (1 paper)Pituitary (1 paper)
- Partner nations
- United KingdomIndiaAustralia
In The Last Decade
Mamta Joshi
13 papers receiving 369 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 143
- Neurology 101
- Oncology 165
- Genetics 34
- Epidemiology 102
Countries citing papers authored by Mamta Joshi
This map shows the geographic impact of Mamta Joshi'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 Mamta Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamta Joshi more than expected).
Fields of papers citing papers by Mamta Joshi
This network shows the impact of papers produced by Mamta Joshi. 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 Mamta Joshi. The network helps show where Mamta Joshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mamta Joshi, 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 | 2016 | 163 | |
| 2 | 2018 | 91 | |
| 3 | 2020 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2020 | 12 | |
| 8 | Comparison of Canny edge detector with Sobel and Prewitt edge detector using different image formats | 2018 | 9 |
| 9 | 2013 | 6 | |
| 10 | 2018 | 3 | |
| 11 | 2009 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2015 | 0 | |
| 16 | 2024 | 0 |
About Mamta Joshi
Mamta Joshi is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Neurology and Genetics, having authored 16 papers that have together received 371 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Diabetes and associated disorders (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Neuroblastoma Research and Treatments (3 papers), Pancreatic function and diabetes (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (143 citations), Neurology (101 citations), Oncology (165 citations), Genetics (34 citations) and Epidemiology (102 citations). Mamta Joshi has collaborated with scholars based in United Kingdom, India and Australia. Frequent co-authors include Paul Carroll, Ben Whitelaw, Yin Wu, Pratik Choudhary, Łukasz Polański, Samantha Anandappa, Katharina Schilbach, Jochen Schopohl, Timo Deutschbein and Jake Powrie. Their work appears in journals such as Diabetes, Clinical Endocrinology, European Journal of Endocrinology, Current Diabetes Reports and Pituitary.
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.