Sarada Charugundla

1.3k citations
16 papers · 915 indexed · h-index 11
Topics
Peroxisome Proliferator-Activated Receptors (7 papers)Adipose Tissue and Metabolism (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
United StatesChinaNorway

In The Last Decade

Sarada Charugundla

15 papers receiving 910 citations

Peers

Sarada Charugundla
Comparison fields: 5 of 88
  • Molecular Biology 489
  • Physiology 291
  • Epidemiology 183
  • Cardiology and Cardiovascular Medicine 140
  • Endocrinology, Diabetes and Metabolism 124
Replace Maria Mavilio with:
Maria Mavilio Italy
Kathryn M. Spitler United States
Di Ren United States
M. Rathaus Israel
Yukiko Kanatani Japan
Andreas Werner Jehle Switzerland
Mizuko Osaka Japan
Hongdong Wang China
Bi Cheng Liu China
Amy Cameron United Kingdom
Sarada Charugundla relative to Maria Mavilio Italy Maria Mavilio's profile →
Citations per field
00.5×1.5×2.4×
Maria Mavilio · 1×
Citations per year

Countries citing papers authored by Sarada Charugundla

Since Specialization
Citations

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

Fields of papers citing papers by Sarada Charugundla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarada Charugundla. 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 Sarada Charugundla. The network helps show where Sarada Charugundla may publish in the future.

Co-authorship network of co-authors of Sarada Charugundla

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 56
3 83
4 106
5 5
6 3
7 56
8 6
9 106
10 6
11 79
12 269
13 39
14 62
15 19
16 20

About Sarada Charugundla

Sarada Charugundla is a scholar working on Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 16 papers that have together received 915 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Physiology (291 citations) and Endocrinology, Diabetes and Metabolism (124 citations). Sarada Charugundla has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Aldons J. Lusis, Calvin Pan, Diana M. Shih, Nam Che, Zhiqiang Zhou, Zeneng Wang, Stanley L. Hazen, Judy Wu, Lawrence W. Castellani and Mark J. Graham. Their work appears in journals such as Science, Journal of Biological Chemistry and Circulation.

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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