Manu V. Chakravarthy

5.7k citations
52 papers · 4.1k indexed · h-index 27
Topics
Liver Disease Diagnosis and Treatment (15 papers)Muscle Physiology and Disorders (9 papers)Diet and metabolism studies (7 papers)

In The Last Decade

Manu V. Chakravarthy

50 papers receiving 4.0k citations

Peers

Manu V. Chakravarthy
Comparison fields: 5 of 138
  • Molecular Biology 1.7k
  • Physiology 1.6k
  • Epidemiology 1.1k
  • Endocrinology, Diabetes and Metabolism 713
  • Surgery 663
Replace Inês Barroso with:
Inês Barroso United Kingdom
Kristin I. Stanford United States
Sherin U. Devaskar United States
Sonia M. Najjar United States
Manlio Vinciguerra Italy
Jiyoung Park South Korea
Jonas T. Treebak Denmark
Johan Hoffstedt Sweden
Jennifer Gallagher United Kingdom
Francesca Amati Switzerland
Manu V. Chakravarthy relative to Inês Barroso United Kingdom Inês Barroso's profile →
Citations per field
00.5×1.5×
Inês Barroso · 1×
Citations per year

Countries citing papers authored by Manu V. Chakravarthy

Since Specialization
Citations

This map shows the geographic impact of Manu V. Chakravarthy'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 Manu V. Chakravarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu V. Chakravarthy more than expected).

Fields of papers citing papers by Manu V. Chakravarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manu V. Chakravarthy. 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 Manu V. Chakravarthy. The network helps show where Manu V. Chakravarthy may publish in the future.

Co-authorship network of co-authors of Manu V. Chakravarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Manu V. Chakravarthy. A scholar is included among the top collaborators of Manu V. Chakravarthy 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 Manu V. Chakravarthy. Manu V. Chakravarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 18
5 67
6 68
7 14
8 15
9 15
10 314
11 15
12 37
13 420
14 39
15 94
16 436
17 17
18 180
19 133
20 19

About Manu V. Chakravarthy

Manu V. Chakravarthy is a scholar working on Aging, Physiology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Muscle Physiology and Disorders (9 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Physiology (1.6k citations), Biochemistry (368 citations) and Aging (81 citations). Manu V. Chakravarthy has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Frank W. Booth, Clay F. Semenkovich, Espen E. Spangenburg, John Turk, Trey Coleman, Jochen G. Schneider, Michael J. Joyner, Frank W. Booth, Li Yin and Yimin Zhu. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

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.

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