Steven D. Chaguluka

12 total papers · 819 total citations
11 papers, 655 citations indexed

About

Steven D. Chaguluka is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Steven D. Chaguluka has authored 11 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Steven D. Chaguluka's work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (6 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Steven D. Chaguluka is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (6 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Steven D. Chaguluka collaborates with scholars based in Malawi, United Kingdom and India. Steven D. Chaguluka's co-authors include Sian Floyd, Paul Fine, Amelia C. Crampin, Gillian F. Black, Hazel M. Dockrell, David K Warndorff, Bagrey Ngwira, Lifted Sichali, Rosemary E. Weir and Linda Donovan and has published in prestigious journals such as The Lancet, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Steven D. Chaguluka

11 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Steven D. Chaguluka 558 380 331 153 63 11 655
Rose Ann Murray 503 0.9× 292 0.8× 421 1.3× 89 0.6× 60 1.0× 14 790
Nazma Mansoor 434 0.8× 222 0.6× 420 1.3× 83 0.5× 92 1.5× 13 655
Eduardo Canteiro Cruz 516 0.9× 406 1.1× 155 0.5× 200 1.3× 71 1.1× 20 658
Oumou Younoussa Sow 493 0.9× 419 1.1× 287 0.9× 192 1.3× 75 1.2× 20 739
Bernadette Nazareth 394 0.7× 258 0.7× 296 0.9× 61 0.4× 57 0.9× 17 602
Melles Haile 564 1.0× 459 1.2× 128 0.4× 194 1.3× 61 1.0× 12 713
Ulrike Zedler 510 0.9× 257 0.7× 465 1.4× 87 0.6× 141 2.2× 18 751
Zéa Lins-Lainson 480 0.9× 294 0.8× 178 0.5× 103 0.7× 66 1.0× 11 651
Virginia Davids 450 0.8× 277 0.7× 301 0.9× 133 0.9× 125 2.0× 15 725
Ryhor Harbacheuski 617 1.1× 445 1.2× 290 0.9× 194 1.3× 142 2.3× 10 787

Countries citing papers authored by Steven D. Chaguluka

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Chaguluka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Chaguluka. 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 Steven D. Chaguluka. The network helps show where Steven D. Chaguluka may publish in the future.

Co-authorship network of co-authors of Steven D. Chaguluka

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Chaguluka. A scholar is included among the top collaborators of Steven D. Chaguluka 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 Steven D. Chaguluka. Steven D. Chaguluka 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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