Tufa Gemechu

15 total papers · 486 total citations
11 papers, 306 citations indexed

About

Tufa Gemechu is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Tufa Gemechu has authored 11 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Surgery and 3 papers in Oncology. Recurrent topics in Tufa Gemechu's work include Cervical Cancer and HPV Research (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Tufa Gemechu is often cited by papers focused on Cervical Cancer and HPV Research (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Tufa Gemechu collaborates with scholars based in Ethiopia, United States and Germany. Tufa Gemechu's co-authors include Yonas Bekuretsion, Andreas Stang, Eva Johanna Kantelhardt, Pietro Trocchi, Aynalem Abreha, Christoph Thomssen, Assefa Mathewos, Ahmedin Jemal, Adamu Addissie and Anne Reeler and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Tufa Gemechu

11 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Tufa Gemechu 170 128 61 50 45 11 306
Anne Finesse 221 1.3× 156 1.2× 28 0.5× 31 0.6× 32 0.7× 9 339
Sandro Tognazzo 133 0.8× 69 0.5× 99 1.6× 38 0.8× 31 0.7× 15 343
F. Binder-Foucard 166 1.0× 73 0.6× 68 1.1× 18 0.4× 25 0.6× 12 364
Tangpeng Xu 93 0.5× 48 0.4× 49 0.8× 43 0.9× 73 1.6× 18 261
Sineenat Sontipong 136 0.8× 89 0.7× 111 1.8× 54 1.1× 55 1.2× 8 357
Rachel Abou Mrad 111 0.7× 120 0.9× 37 0.6× 20 0.4× 28 0.6× 11 312
Mohan Narasimhamurthy 227 1.3× 167 1.3× 38 0.6× 23 0.5× 28 0.6× 23 317
Daniela D. Rosa 133 0.8× 79 0.6× 55 0.9× 63 1.3× 157 3.5× 14 355
Siné Bayo 129 0.8× 204 1.6× 68 1.1× 32 0.6× 51 1.1× 10 353
Catherine Parker 131 0.8× 34 0.3× 37 0.6× 68 1.4× 18 0.4× 13 223

Countries citing papers authored by Tufa Gemechu

Since Specialization
Citations

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

Fields of papers citing papers by Tufa Gemechu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tufa Gemechu

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