E. Latha

12 papers receiving 620 citations

Peers

E. Latha
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 346
  • Complementary and Manual Therapy 12
  • Health Information Management 17
  • Epidemiology 99
  • Anesthesiology and Pain Medicine 15
Replace SV Madhu with:
SV Madhu India
E.M. van Leer Netherlands
Narges Sarbazi Iran
Viktor Jörgens Germany
Kazuyo Tsushita Japan
Jiang Yayun China
Bogdan Mihai Romania
A.E Ohwovoriole Nigeria
Todd Hobbs United States
D. Fareed Australia
E. Latha relative to SV Madhu India SV Madhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Latha

Since Specialization
Citations

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

Fields of papers citing papers by E. Latha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside E. Latha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Latha Line = papers co-authored together E. Latha links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1997284
2 1999116
3 1998101
4
Prevalence of vascular complications and their risk factors in type 2 diabetes.
199979
5 199037
6 199722
7 199815
8 199814
9 199914
10 20087
11 19916
12
Phytochemical studies on roots of Gmelina asiatica Linn
20072

About E. Latha

E. Latha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 697 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diet and metabolism studies (2 papers), Diabetes Management and Research (1 paper), Obesity, Physical Activity, Diet (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (346 citations), Complementary and Manual Therapy (12 citations), Health Information Management (17 citations), Epidemiology (99 citations) and Anesthesiology and Pain Medicine (15 citations). E. Latha has collaborated with scholars based in India and United States. Frequent co-authors include Chamukuttan Snehalatha, Ambady Ramachandran, Vijay Viswanathan, K. Satyavani, Palaninathan Varalakshmi, Anupama Ramachandran, C. Snehalatha, Steven M. Haffner, T. Satyanarayana and Ramasamy Selvam. Their work appears in journals such as Diabetes Care, Journal of Ethnopharmacology, Diabetes Research and Clinical Practice, Journal of Clinical Biochemistry and Nutrition 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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