Sheba Gitta

48 total papers · 857 total citations
31 papers, 609 citations indexed

About

Sheba Gitta is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Health. According to data from OpenAlex, Sheba Gitta has authored 31 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 11 papers in Public Health, Environmental and Occupational Health and 8 papers in Health. Recurrent topics in Sheba Gitta's work include Viral Infections and Outbreaks Research (9 papers), Vaccine Coverage and Hesitancy (8 papers) and Zoonotic diseases and public health (7 papers). Sheba Gitta is often cited by papers focused on Viral Infections and Outbreaks Research (9 papers), Vaccine Coverage and Hesitancy (8 papers) and Zoonotic diseases and public health (7 papers). Sheba Gitta collaborates with scholars based in Uganda, Nigeria and Sweden. Sheba Gitta's co-authors include Joseph Konde-Lule, David Mukanga, Sam Agatre Okuonzi, Peter Wasswa, Birger C. Forsberg, Stella Neema, Peter Nsubuga, George Pariyo, Charles Mugisha Rwenyonyi and Mufuta Tshimanga and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and BMC Public Health.

In The Last Decade

Sheba Gitta

29 papers receiving 586 citations

Author Peers

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

Author Last Decade Papers Cites
Sheba Gitta 182 173 158 97 89 31 609
Jennifer Griffin 194 1.1× 205 1.2× 146 0.9× 123 1.3× 88 1.0× 31 684
Donewell Bangure 127 0.7× 172 1.0× 175 1.1× 131 1.4× 115 1.3× 51 661
Donne Ameme 148 0.8× 125 0.7× 156 1.0× 162 1.7× 35 0.4× 61 601
Elizabeth Oliveras 112 0.6× 293 1.7× 132 0.8× 94 1.0× 101 1.1× 31 582
Nighat Nisar 105 0.6× 164 0.9× 86 0.5× 107 1.1× 117 1.3× 44 636
Mufaro Kanyangarara 203 1.1× 311 1.8× 121 0.8× 44 0.5× 71 0.8× 44 651
Mohammad Abdul Quaiyum 79 0.4× 228 1.3× 90 0.6× 207 2.1× 106 1.2× 21 520
Chukwuemeka E Nwachukwu 207 1.1× 186 1.1× 115 0.7× 211 2.2× 243 2.7× 20 632
Chukwuma David Umeokonkwo 137 0.8× 117 0.7× 233 1.5× 138 1.4× 63 0.7× 95 666
Peter Wasswa 83 0.5× 211 1.2× 138 0.9× 138 1.4× 174 2.0× 31 519

Countries citing papers authored by Sheba Gitta

Since Specialization
Citations

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

Fields of papers citing papers by Sheba Gitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheba Gitta

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