Dipak Kumar Swain

691 total citations
9 papers, 158 citations indexed

About

Dipak Kumar Swain is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Aquatic Science. According to data from OpenAlex, Dipak Kumar Swain has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 4 papers in Infectious Diseases and 2 papers in Aquatic Science. Recurrent topics in Dipak Kumar Swain's work include Mosquito-borne diseases and control (6 papers), Malaria Research and Control (5 papers) and Viral Infections and Vectors (3 papers). Dipak Kumar Swain is often cited by papers focused on Mosquito-borne diseases and control (6 papers), Malaria Research and Control (5 papers) and Viral Infections and Vectors (3 papers). Dipak Kumar Swain collaborates with scholars based in India, United Kingdom and Switzerland. Dipak Kumar Swain's co-authors include R M Bhatt, Mehul Kumar Chourasia, Kamaraju Raghavendra, Immo Kleinschmidt, Basanta Kumar Das, Neena Valecha, Sreehari Uragayala, Jyotirmayee Pradhan, Gyanendra Singh and Martin J. Donnelly and has published in prestigious journals such as BMC Public Health, Fish & Shellfish Immunology and International Journal of Infectious Diseases.

In The Last Decade

Dipak Kumar Swain

9 papers receiving 154 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dipak Kumar Swain India 8 106 34 28 25 20 9 158
Irene Omedo Kenya 7 156 1.5× 9 0.3× 4 0.1× 9 0.4× 21 1.1× 9 187
Maria J. Carvalho Portugal 5 28 0.3× 63 1.9× 7 0.3× 14 0.6× 8 0.4× 7 162
Caroline Ogwang Kenya 6 63 0.6× 8 0.2× 7 0.3× 28 1.4× 7 116
Alex Musiime Uganda 7 133 1.3× 5 0.1× 31 1.2× 23 1.1× 12 143
Matilde Riloha Rivas United States 6 112 1.1× 6 0.2× 11 0.4× 21 1.1× 13 124
Damian Rutazaana Uganda 7 156 1.5× 6 0.2× 20 0.8× 44 2.2× 11 184
Ritha Njau Tanzania 8 176 1.7× 6 0.2× 45 1.8× 14 0.7× 15 200
Jennifer Rozier United Kingdom 6 159 1.5× 5 0.1× 31 1.2× 26 1.3× 10 197
Aswin Asokan India 6 190 1.8× 5 0.1× 44 1.8× 38 1.9× 11 201
Mulenga Mwenda Zambia 11 201 1.9× 9 0.3× 34 1.4× 27 1.4× 18 226

Countries citing papers authored by Dipak Kumar Swain

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Kumar Swain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dipak Kumar Swain. 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 Dipak Kumar Swain. The network helps show where Dipak Kumar Swain may publish in the future.

Co-authorship network of co-authors of Dipak Kumar Swain

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

All Works

9 of 9 papers shown
2.
Raghavendra, Kamaraju, Martin J. Donnelly, R M Bhatt, et al.. (2018). Characterization and monitoring of deltamethrin-resistance in Anopheles culicifacies in the presence of a long-lasting insecticide-treated net intervention. Malaria Journal. 17(1). 414–414. 21 indexed citations
4.
Chourasia, Mehul Kumar, Kamaraju Raghavendra, R M Bhatt, et al.. (2017). Burden of asymptomatic malaria among a tribal population in a forested village of central India: a hidden challenge for malaria control in India. Public Health. 147. 92–97. 30 indexed citations
5.
Chourasia, Mehul Kumar, Kamaraju Raghavendra, Immo Kleinschmidt, et al.. (2017). Impact of long-lasting insecticidal nets on prevalence of subclinical malaria among children in the presence of pyrethroid resistance in Anopheles culicifacies in Central India. International Journal of Infectious Diseases. 57. 123–129. 10 indexed citations
6.
Raghavendra, Kamaraju, Mehul Kumar Chourasia, Dipak Kumar Swain, et al.. (2017). Monitoring of long-lasting insecticidal nets (LLINs) coverage versus utilization: a community-based survey in malaria endemic villages of Central India. Malaria Journal. 16(1). 467–467. 23 indexed citations
7.
Chourasia, Mehul Kumar, Kamaraju Raghavendra, R M Bhatt, et al.. (2017). Additional burden of asymptomatic and sub-patent malaria infections during low transmission season in forested tribal villages in Chhattisgarh, India. Malaria Journal. 16(1). 320–320. 21 indexed citations
8.
Das, Basanta Kumar, et al.. (2013). Effect of β-glucan on the immune response of early stage of Anabas testudineus (Bloch) challenged with fungus Saprolegnia parasitica. SpringerPlus. 2(1). 197–197. 9 indexed citations
9.
Das, Basanta Kumar, et al.. (2009). Effect of β-glucan on immunity and survival of early stage of Anabas testudineus (Bloch). Fish & Shellfish Immunology. 27(6). 678–683. 29 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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