Kanchan Mittal
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Public Health, Environmental and Occupational Health
- Epidemiology
- Complementary and alternative medicine top 10%
- Co-authors
- Naval K. VikramKalpana LuthraAnoop MisraKashish GoelSurya P. BhattNidhi GuptaSantosh Jain PassiV. K. Sharma
- Topics
- Optimization and Variational Analysis (2 papers)Obesity, Physical Activity, Diet (1 paper)Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper)
- Journals
- Diabetes CareJournal of Optimization Theory and ApplicationsDiabetes Technology & Therapeutics
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Kanchan Mittal
6 papers receiving 295 citations
Peers
Comparison fields: 5 of 66
- Physiology 136
- Endocrinology, Diabetes and Metabolism 126
- Public Health, Environmental and Occupational Health 67
- Epidemiology 58
- Complementary and alternative medicine 42
Countries citing papers authored by Kanchan Mittal
This map shows the geographic impact of Kanchan Mittal'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 Kanchan Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanchan Mittal more than expected).
Fields of papers citing papers by Kanchan Mittal
This network shows the impact of papers produced by Kanchan Mittal. 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 Kanchan Mittal. The network helps show where Kanchan Mittal may publish in the future.
Co-authorship network of co-authors of Kanchan Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Kanchan Mittal. A scholar is included among the top collaborators of Kanchan Mittal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kanchan Mittal. Kanchan Mittal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 18 | |
| 6 | 93 | |
| 7 | Diabetes Technology & Therapeutics | 27 |
| 8 | 154 |
About Kanchan Mittal
Kanchan Mittal is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (2 papers), Obesity, Physical Activity, Diet (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (126 citations), Physiology (136 citations) and Complementary and alternative medicine (42 citations). Kanchan Mittal has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Naval K. Vikram, Kalpana Luthra, Anoop Misra, Kashish Goel, Surya P. Bhatt, Nidhi Gupta, Santosh Jain Passi, V. K. Sharma, D.S. Chadha and Priyanka Nigam. Their work appears in journals such as Diabetes Care, Journal of Optimization Theory and Applications and Diabetes Technology & Therapeutics.
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.