Dheepa Rajan

37 total papers · 638 total citations
24 papers, 359 citations indexed

About

Dheepa Rajan is a scholar working on Pediatrics, Perinatology and Child Health, Organizational Behavior and Human Resource Management and General Health Professions. According to data from OpenAlex, Dheepa Rajan has authored 24 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 12 papers in Organizational Behavior and Human Resource Management and 10 papers in General Health Professions. Recurrent topics in Dheepa Rajan's work include Global Maternal and Child Health (14 papers), Global Public Health Policies and Epidemiology (12 papers) and Healthcare Systems and Reforms (9 papers). Dheepa Rajan is often cited by papers focused on Global Maternal and Child Health (14 papers), Global Public Health Policies and Epidemiology (12 papers) and Healthcare Systems and Reforms (9 papers). Dheepa Rajan collaborates with scholars based in Switzerland, Belgium and France. Dheepa Rajan's co-authors include Valéry Ridde, Anna Socha, Maike Voss, Gérard Schmets, Denis Porignon, Émilie Robert, Robert Marten, Sowmya Kadandale, Irene Torres and Samiratou Ouédraogo and has published in prestigious journals such as BMJ Open, BMC Health Services Research and Bulletin of the World Health Organization.

In The Last Decade

Dheepa Rajan

22 papers receiving 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dheepa Rajan	143	75	75	59	58	24	359
Claudio A. Méndez	116 0.8×	47 0.6×	64 0.9×	54 0.9×	58 1.0×	25	296
Rocío Sáenz	97 0.7×	64 0.9×	61 0.8×	46 0.8×	64 1.1×	13	305
Jeremy Fung Yen Lim	125 0.9×	62 0.8×	84 1.1×	23 0.4×	74 1.3×	24	398
Mary Qiu	79 0.6×	113 1.5×	56 0.7×	38 0.6×	36 0.6×	18	304
Eleanor Whyle	123 0.9×	116 1.5×	60 0.8×	33 0.6×	67 1.2×	21	329
Anung Sugihantono	85 0.6×	87 1.2×	45 0.6×	26 0.4×	58 1.0×	20	317
Fernando Antônio Gomes Leles	180 1.3×	51 0.7×	63 0.8×	44 0.7×	64 1.1×	10	360
Anne LaFond	138 1.0×	87 1.2×	43 0.6×	33 0.6×	36 0.6×	14	343
Emilia J. Ling	97 0.7×	67 0.9×	60 0.8×	29 0.5×	82 1.4×	9	364
Chijioke O. Nwosu	140 1.0×	86 1.1×	61 0.8×	20 0.3×	67 1.2×	22	320

Countries citing papers authored by Dheepa Rajan

Since Specialization

Citations

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

Fields of papers citing papers by Dheepa Rajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheepa Rajan

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

All Works

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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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