SV Madhu

1.2k citations
73 papers · 707 indexed · h-index 13
Topics
Vitamin D Research Studies (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Diabetes Management and Education (6 papers)
Journals
SHILAP Revista de lepidopterologíaDiabetesAmerican Journal of Public Health

In The Last Decade

SV Madhu

62 papers receiving 663 citations

Peers

SV Madhu
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 345
  • Epidemiology 117
  • Pathology and Forensic Medicine 96
  • Public Health, Environmental and Occupational Health 75
  • Surgery 73
Replace Khalid S Aljabri with:
Khalid S Aljabri Saudi Arabia
Beyhan Ömer Türkiye
Bachar Afandi United Arab Emirates
Mojgan Sanjari Iran
A.E Ohwovoriole Nigeria
Dana Hyassat Jordan
Mania Radfar Iran
José López-López Colombia
James J. Chamberlain United States
Waleed Tamimi Saudi Arabia
SV Madhu relative to Khalid S Aljabri Saudi Arabia Khalid S Aljabri's profile →
Citations per field
00.5×1.5×2.0×
Khalid S Aljabri · 1×
Citations per year

Countries citing papers authored by SV Madhu

Since Specialization
Citations

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

Fields of papers citing papers by SV Madhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SV Madhu

This figure shows the co-authorship network connecting the top 25 collaborators of SV Madhu. A scholar is included among the top collaborators of SV Madhu 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 SV Madhu. SV Madhu 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 3
2 0
3 1
4 0
5 0
6 2
7 5
8 105
9 1
10 17
11 22
12 9
13 27
14 6
15 135
16 41
17 11
18 4
19 28
20
Polyol pathway in the pathogenesis of diabetic complications and aldose reductase inhibitors.
2

About SV Madhu

SV Madhu is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Obstetrics and Gynecology, having authored 73 papers that have together received 707 indexed citations. Recurring topics across this work include Vitamin D Research Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Diabetes Management and Education (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (345 citations), Family Practice (15 citations) and Pathology and Forensic Medicine (96 citations). SV Madhu has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Rajeev Chawla, Sanjay Kalra, Banshi Saboo, Sujoy Ghosh, B. M. Makkar, Viswanathan Mohan, Lesley Jo Weaver, Piyush Gupta, Dheeraj Shah and Rajeev Malhotra. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and American Journal of Public Health.

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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