Blessing Tsenesa

535 total citations
2 papers, 5 citations indexed

About

Blessing Tsenesa is a scholar working on Infectious Diseases, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Blessing Tsenesa has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in General Health Professions and 2 papers in Economics and Econometrics. Recurrent topics in Blessing Tsenesa's work include HIV/AIDS Research and Interventions (2 papers), HIV/AIDS Impact and Responses (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). Blessing Tsenesa is often cited by papers focused on HIV/AIDS Research and Interventions (2 papers), HIV/AIDS Impact and Responses (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). Blessing Tsenesa collaborates with scholars based in United Kingdom, Zimbabwe and Denmark. Blessing Tsenesa's co-authors include Michael Pickles, Robin Schaefer, Timothy B. Hallett, Morten Skovdal, Rufurwokuda Maswera, Owen Mugurungi, Ranjeeta Thomas, Constance Nyamukapa, Tawanda Dadirai and Simon Gregson and has published in prestigious journals such as The Lancet Global Health and The Lancet HIV.

In The Last Decade

Blessing Tsenesa

1 paper receiving 5 citations

Peers

Blessing Tsenesa
Timothy M Wolock United Kingdom
Rachida Ouissa Guadeloupe
Laurette Mhlanga United States
Marla Sievers United States
Karen Lipscomb United States
Jessica Daley United States
O Watson United Kingdom
Timothy M Wolock United Kingdom
Blessing Tsenesa
Citations per year, relative to Blessing Tsenesa Blessing Tsenesa (= 1×) peers Timothy M Wolock

Countries citing papers authored by Blessing Tsenesa

Since Specialization
Citations

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

Fields of papers citing papers by Blessing Tsenesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blessing Tsenesa

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

All Works

2 of 2 papers shown
1.
2.
Pickles, Michael, Simon Gregson, Tawanda Dadirai, et al.. (2023). Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. The Lancet Global Health. 11(7). e1105–e1113. 5 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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