KC Premarajan

33 total papers · 530 total citations
24 papers, 362 citations indexed

About

KC Premarajan is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, KC Premarajan has authored 24 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in KC Premarajan's work include Child Nutrition and Water Access (4 papers), Global Public Health Policies and Epidemiology (3 papers) and Chronic Disease Management Strategies (3 papers). KC Premarajan is often cited by papers focused on Child Nutrition and Water Access (4 papers), Global Public Health Policies and Epidemiology (3 papers) and Chronic Disease Management Strategies (3 papers). KC Premarajan collaborates with scholars based in India and Nepal. KC Premarajan's co-authors include Gautam Roy, Sitanshu Sekhar Kar, Swaroop Kumar Sahu, Sonali Sarkar, Abdoul Hamide, Mahalakshmy Thulasingam, Sunil Kumar, Nitin Joseph, Subitha Lakshminarayanan and Rahul Dhodapkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Indian Journal of Community Medicine and Indian Journal of Dermatology Venereology and Leprology.

In The Last Decade

KC Premarajan

22 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
KC Premarajan	106	60	48	46	46	24	362
Susan Burger	87 0.8×	97 1.6×	30 0.6×	15 0.3×	113 2.5×	13	325
Isaac Agbemafle	63 0.6×	140 2.3×	61 1.3×	53 1.2×	65 1.4×	32	401
Akhtar Hussain	88 0.8×	119 2.0×	43 0.9×	62 1.3×	67 1.5×	27	402
Chukwuma B. Duru	47 0.4×	116 1.9×	52 1.1×	57 1.2×	59 1.3×	40	394
Md. Imdadul Haque	33 0.3×	33 0.6×	47 1.0×	23 0.5×	20 0.4×	30	383
Anthony C. Iwu	39 0.4×	75 1.3×	43 0.9×	42 0.9×	43 0.9×	30	303
Noor Aman Hamid	87 0.8×	127 2.1×	58 1.2×	15 0.3×	56 1.2×	39	354
Lorraine Cordeiro	140 1.3×	117 1.9×	96 2.0×	40 0.9×	19 0.4×	24	382
Robert Akparibo	164 1.5×	146 2.4×	149 3.1×	15 0.3×	65 1.4×	36	393
Yahui Fan	37 0.3×	39 0.7×	73 1.5×	50 1.1×	16 0.3×	16	347

Countries citing papers authored by KC Premarajan

Since Specialization

Citations

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

Fields of papers citing papers by KC Premarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KC Premarajan

This figure shows the co-authorship network connecting the top 25 collaborators of KC Premarajan. A scholar is included among the top collaborators of KC Premarajan 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 KC Premarajan. KC Premarajan 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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