Manish Khanolkar
- Physiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Immunology
- Co-authors
- Stephen C. BainSudhesh KumarChristine M. KusminskiAlison L. HarteS. J. CreelyPhilip G. McTernanMari EvansJeffrey W. Stephens
- Topics
- Diabetes Management and Research (10 papers)Diabetes and associated disorders (5 papers)Diabetes Treatment and Management (4 papers)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
Manish Khanolkar
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Physiology 503
- Molecular Biology 479
- Endocrinology, Diabetes and Metabolism 425
- Epidemiology 408
- Immunology 185
Countries citing papers authored by Manish Khanolkar
This map shows the geographic impact of Manish Khanolkar'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 Manish Khanolkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Khanolkar more than expected).
Fields of papers citing papers by Manish Khanolkar
This network shows the impact of papers produced by Manish Khanolkar. 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 Manish Khanolkar. The network helps show where Manish Khanolkar may publish in the future.
Co-authorship network of co-authors of Manish Khanolkar
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Khanolkar. A scholar is included among the top collaborators of Manish Khanolkar 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 Manish Khanolkar. Manish Khanolkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Differing protocols of managing adult diabetic ketoacidosis outside of the intensive care unit make no difference to the rate of resolution of hyperglycaemia and acidosis. | 4 |
| 3 | 113 | |
| 4 | 12 | |
| 5 | 23 years of managing diabetic ketoacidosis at Auckland Hospital | 2 |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 31 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 37 | |
| 12 | 34 | |
| 13 | 211 | |
| 14 | 126 | |
| 15 | 38 | |
| 16 | Lipopolysaccharide activates an innate immune system response in human adipose tissue in obesity and type 2 diabetesbreakdown → | 808 |
| 17 | Quantitative evaluation of muscle relaxation induced by Kundalini yoga with the help of EMG integrator. | 9 |
About Manish Khanolkar
Manish Khanolkar is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Genetics, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Diabetes and associated disorders (5 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (425 citations), Physiology (503 citations) and Rehabilitation (123 citations). Manish Khanolkar has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Stephen C. Bain, Sudhesh Kumar, Christine M. Kusminski, Alison L. Harte, S. J. Creely, Philip G. McTernan, Mari Evans, Jeffrey W. Stephens, James M. Stephens and Rinki Murphy. Their work appears in journals such as PLoS ONE, BMJ and American Journal of Physiology-Endocrinology and Metabolism.
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.