Manisha Chandalia
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Nicola AbateScott M. GrundyAbhimanyu GargLinda BrinkleyDieter LütjohannKlaus von BergmannKhashayar SakhaeeOrson W. Moe
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers)Adipokines, Inflammation, and Metabolic Diseases (15 papers)Adipose Tissue and Metabolism (15 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United StatesItalyIndia
In The Last Decade
Manisha Chandalia
61 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Physiology 1.7k
- Endocrinology, Diabetes and Metabolism 1.7k
- Epidemiology 1.5k
- Molecular Biology 973
- Cardiology and Cardiovascular Medicine 737
Countries citing papers authored by Manisha Chandalia
This map shows the geographic impact of Manisha Chandalia'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 Chandalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Chandalia more than expected).
Fields of papers citing papers by Manisha Chandalia
This network shows the impact of papers produced by Manisha Chandalia. 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 Chandalia. The network helps show where Manisha Chandalia may publish in the future.
Co-authorship network of co-authors of Manisha Chandalia
This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Chandalia. A scholar is included among the top collaborators of Manisha Chandalia 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 Manisha Chandalia. Manisha Chandalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 29 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 49 | |
| 14 | 45 | |
| 15 | 0 | |
| 16 | 436 | |
| 17 | 96 | |
| 18 | 124 | |
| 19 | Beneficial Effects of High Dietary Fiber Intake in Patients with Type 2 Diabetes Mellitusbreakdown → | 827 |
| 20 | 295 |
About Manisha Chandalia
Manisha Chandalia is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Physiology, having authored 64 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Physiology (1.7k citations) and Complementary and Manual Therapy (130 citations). Manisha Chandalia has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Nicola Abate, Scott M. Grundy, Abhimanyu Garg, Linda Brinkley, Dieter Lütjohann, Klaus von Bergmann, Khashayar Sakhaee, Orson W. Moe, P. G. Snell and Paolo Bonaldo. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Gastroenterology.
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.