Vishwa Deep Dixit
- Physiology top 0.2%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Immunology top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Co-authors
- Yun‐Hee YoumRyan W. GrantAnthony RavussinBolormaa VandanmagsarEmily L. GoldbergThirumala‐Devi KannegantiDennis D. TaubJacqueline M. Stephens
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (44 papers)Adipose Tissue and Metabolism (28 papers)Regulation of Appetite and Obesity (21 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Vishwa Deep Dixit
93 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Physiology 5.1k
- Molecular Biology 4.4k
- Epidemiology 3.9k
- Immunology 3.0k
- Endocrine and Autonomic Systems 2.1k
Countries citing papers authored by Vishwa Deep Dixit
This map shows the geographic impact of Vishwa Deep 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 Vishwa Deep Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishwa Deep Dixit more than expected).
Fields of papers citing papers by Vishwa Deep Dixit
This network shows the impact of papers produced by Vishwa Deep 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 Vishwa Deep Dixit. The network helps show where Vishwa Deep Dixit may publish in the future.
Co-authorship network of co-authors of Vishwa Deep Dixit
This figure shows the co-authorship network connecting the top 25 collaborators of Vishwa Deep Dixit. A scholar is included among the top collaborators of Vishwa Deep Dixit 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 Vishwa Deep Dixit. Vishwa Deep Dixit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 80 | |
| 7 | Caloric restriction in humans reveals immunometabolic regulators of health spanbreakdown → | 178 |
| 8 | 85 | |
| 9 | 60 | |
| 10 | 121 | |
| 11 | 2 | |
| 12 | 96 | |
| 13 | 132 | |
| 14 | 1 | |
| 15 | 144 | |
| 16 | 164 | |
| 17 | 88 | |
| 18 | Ghrelin inhibits leptin- and activation-induced proinflammatory cytokine expression by human monocytes and T cellsbreakdown → | 672 |
| 19 | 30 | |
| 20 | 29 |
About Vishwa Deep Dixit
Vishwa Deep Dixit is a scholar working on Endocrine and Autonomic Systems, Aging and Physiology, having authored 96 papers that have together received 13.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (44 papers), Adipose Tissue and Metabolism (28 papers) and Regulation of Appetite and Obesity (21 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.1k citations), Biological Psychiatry (513 citations) and Physiology (5.1k citations). Vishwa Deep Dixit has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yun‐Hee Youm, Ryan W. Grant, Anthony Ravussin, Bolormaa Vandanmagsar, Emily L. Goldberg, Thirumala‐Devi Kanneganti, Dennis D. Taub, Jacqueline M. Stephens, Randall L. Mynatt and Éric Ravussin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.