C. Munichoodappa

457 citations
5 papers · 129 · h-index 5

Impact in

Papers in

C. Munichoodappa

5 papers receiving 114 citations

Peers

C. Munichoodappa
Comparison fields: 5 of 30
  • Endocrinology, Diabetes and Metabolism 80
  • Neurology 10
  • Genetics 28
  • Physiology 19
  • Nephrology 5
Replace Pauline Genter with:
Pauline Genter United States
J. L. Day United Kingdom
Bogumił Wolnik Poland
Victoria R. Trapani United States
Pavel Bobrov Germany
Jim Y. Wan United States
Claire Morbey Australia
Ф. В. Валеева Russia
Johanna Kuusisto Finland
Ю. Г. Самойлова Russia
C. Munichoodappa relative to Pauline Genter United States Pauline Genter's profile →
Citations per field
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Pauline Genter · 1×
Citations per year

Countries citing papers authored by C. Munichoodappa

Since Specialization
Citations

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

Fields of papers citing papers by C. Munichoodappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside C. Munichoodappa, 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 C. Munichoodappa Line = papers co-authored together C. Munichoodappa links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 200947
2
Incidence of type 1 diabetes mellitus and associated complications among children and young adults: results from Karnataka Diabetes Registry 1995-2008.
200843
3 197917
4
Behavioural intervention in the management of compliance in young type-I diabetics.
200016
5 20036

About C. Munichoodappa

C. Munichoodappa is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Nephrology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 5 papers that have together received 129 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetes and associated disorders (2 papers), Diabetes Management and Education (1 paper), Diet, Metabolism, and Disease (1 paper), Renal Diseases and Glomerulopathies (1 paper), Renal and Vascular Pathologies (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (80 citations), Neurology (10 citations), Genetics (28 citations), Physiology (19 citations) and Nephrology (5 citations). C. Munichoodappa has collaborated with scholars based in India, Türkiye and Russia. Frequent co-authors include John A. Libertino, A.Richard Christlieb, Eric S. Kilpatrick, Vincent Woo, М. В. Шестакова, Teresa Koblik, Antonio Ceriello, Bogumił Wolnik, John A. D’Elia and Changyu Pan. Their work appears in journals such as International Journal of Clinical Practice, The Journal of Urology, Journal of Clinical Psychology and PubMed.

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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