Dinkar Shukla

3.1k total citations
2 papers, 277 citations indexed

About

Dinkar Shukla is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dinkar Shukla has authored 2 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dinkar Shukla's work include Coronary Artery Anomalies (1 paper), Cardiovascular and Diving-Related Complications (1 paper) and Diabetes Management and Education (1 paper). Dinkar Shukla is often cited by papers focused on Coronary Artery Anomalies (1 paper), Cardiovascular and Diving-Related Complications (1 paper) and Diabetes Management and Education (1 paper). Dinkar Shukla collaborates with scholars based in India. Dinkar Shukla's co-authors include Kavumpurathu Raman Thankappan, Nimesh G. Desai, Anand Krishnan, Prashant Mathur, R Deepa, Geetha R. Menon, Viswanathan Mohan, Bela Shah, Mohan Deepa and J Mahanta and has published in prestigious journals such as Diabetes Research and Clinical Practice and The Indian Journal of Pediatrics.

In The Last Decade

Dinkar Shukla

2 papers receiving 244 citations

Peers

Dinkar Shukla

EDM

EPIDE

OBHRM

PHEOH

PRM

Robin Maskey Nepal

Lekhjung Thapa Nepal

Rama Raju Australia

Vijay Achari India

Javier García Alegría Spain

Samuel Alexis United Kingdom

Gurupreet Singh Wander India

Chidum E. Ezenwaka Trinidad and Tobago

Tony Heagerty United Kingdom

Abebaw Worede Ethiopia

Robin Maskey Nepal

Dinkar Shukla

158 ×1.2

EDM

89 ×0.9

EPIDE

51 ×0.8

OBHRM

47 ×0.8

PHEOH

20 ×0.6

PRM

Citations per year, relative to Dinkar Shukla Dinkar Shukla (= 1×) peers Robin Maskey

Countries citing papers authored by Dinkar Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Dinkar Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinkar Shukla

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

All Works

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2 of 2 papers shown

1.

Mohan, Viswanathan, Prashant Mathur, R Deepa, et al.. (2008). Urban rural differences in prevalence of self-reported diabetes in India—The WHO–ICMR Indian NCD risk factor surveillance. Diabetes Research and Clinical Practice. 80(1). 159–168. 230 indexed citations

2.

Chadha, S L, et al.. (2001). Epidemiological study of congenital heart disease. The Indian Journal of Pediatrics. 68(6). 507–510. 47 indexed citations

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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