Candida Moshiro

83 total papers · 1.5k total citations
50 papers, 962 citations indexed

About

Candida Moshiro is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Candida Moshiro has authored 50 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 15 papers in Epidemiology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Candida Moshiro's work include Global Maternal and Child Health (8 papers), Injury Epidemiology and Prevention (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Candida Moshiro is often cited by papers focused on Global Maternal and Child Health (8 papers), Injury Epidemiology and Prevention (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Candida Moshiro collaborates with scholars based in Tanzania, United States and Sweden. Candida Moshiro's co-authors include Ivar Heuch, Yusuf Hemed, Gunnar Kvåle, Anne Nordrehaug Åstrøm, Philip Setel, Charles Kilewo, Hussein Kidanto, Gerd Kvale, A. N. Åstrøm and Omary Minzi and has published in prestigious journals such as International Journal of Environmental Research and Public Health, BMC Public Health and Accident Analysis & Prevention.

In The Last Decade

Candida Moshiro

49 papers receiving 912 citations

Author Peers

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

Author Last Decade Papers Cites
Candida Moshiro 308 287 263 177 177 50 962
Kathy Monroe 300 1.0× 142 0.5× 395 1.5× 145 0.8× 275 1.6× 63 1.1k
J. Martín Rodríguez 257 0.8× 301 1.0× 221 0.8× 108 0.6× 47 0.3× 77 1.1k
Erfan Ayubi 214 0.7× 118 0.4× 243 0.9× 59 0.3× 64 0.4× 132 1.1k
Vaman Kulkarni 289 0.9× 154 0.5× 231 0.9× 63 0.4× 65 0.4× 75 1.1k
Eiji Marui 300 1.0× 107 0.4× 291 1.1× 94 0.5× 39 0.2× 78 1.2k
Nithin Kumar 266 0.9× 127 0.4× 220 0.8× 66 0.4× 64 0.4× 84 1.0k
Kara McGee 341 1.1× 286 1.0× 189 0.7× 183 1.0× 219 1.2× 46 899
William M. Marine 177 0.6× 209 0.7× 439 1.7× 72 0.4× 59 0.3× 35 1.1k
Stefano Campostrini 180 0.6× 125 0.4× 182 0.7× 24 0.1× 130 0.7× 67 980
Peter Barss 504 1.6× 75 0.3× 117 0.4× 315 1.8× 374 2.1× 54 1.1k

Countries citing papers authored by Candida Moshiro

Since Specialization
Citations

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

Fields of papers citing papers by Candida Moshiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candida Moshiro

This figure shows the co-authorship network connecting the top 25 collaborators of Candida Moshiro. A scholar is included among the top collaborators of Candida Moshiro 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 Candida Moshiro. Candida Moshiro 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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2026