K. Satyavani

1.4k citations
35 papers · 1.1k indexed · h-index 17
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)Liver Disease Diagnosis and Treatment (12 papers)Adipokines, Inflammation, and Metabolic Diseases (8 papers)
Partner nations
IndiaUnited States

In The Last Decade

K. Satyavani

34 papers receiving 976 citations

Peers

K. Satyavani
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 703
  • Epidemiology 453
  • Cardiology and Cardiovascular Medicine 154
  • Surgery 129
  • Public Health, Environmental and Occupational Health 129
Replace K.M. PRASANNA KUMAR with:
K.M. PRASANNA KUMAR India
Stein Vaaler Norway
Kaushik Ramaiya Tanzania
Tomoko Nakagami Japan
S. Sivasankari India
C. Snehalatha India
Dante Saksono Harbuwono Indonesia
Nor Azmi Kamaruddin Malaysia
Wannee Nitiyanant Thailand
Xiao‐shu Hu China
K. Satyavani relative to K.M. PRASANNA KUMAR India K.M. PRASANNA KUMAR's profile →
Citations per field
00.5×1.7×
K.M. PRASANNA KUMAR · 1×
Citations per year

Countries citing papers authored by K. Satyavani

Since Specialization
Citations

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

Fields of papers citing papers by K. Satyavani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Satyavani

This figure shows the co-authorship network connecting the top 25 collaborators of K. Satyavani. A scholar is included among the top collaborators of K. Satyavani 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 K. Satyavani. K. Satyavani 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
Prevalence of Risk Factors of Diabetes Among Urban Poor South Indian Population.
6
2 33
3 14
4 46
5 19
6 32
7 25
8 316
9
Plasma homocysteine concentration and coronary artery disease in Asian Indians.
10
10 26
11 12
12 25
13 30
14 16
15 11
16 8
17 9
18 15
19 30
20 22

About K. Satyavani

K. Satyavani is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Liver Disease Diagnosis and Treatment (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (703 citations), Epidemiology (453 citations) and Endocrine and Autonomic Systems (46 citations). K. Satyavani has collaborated with scholars based in India and United States. Frequent co-authors include Vijay Viswanathan, Chamukuttan Snehalatha, Ambady Ramachandran, S. Sivasankari, E. Latha, Anupama Ramachandran, C. Snehalatha, S. N. Geethalakshmi, Anil Kapur and R. Rajeswari. Their work appears in journals such as Diabetes Care, Metabolism and Diabetic Medicine.

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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