Getenet Beyene

43 total papers · 1.3k total citations
33 papers, 931 citations indexed

About

Getenet Beyene is a scholar working on Infectious Diseases, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Getenet Beyene has authored 33 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Epidemiology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Getenet Beyene's work include Vibrio bacteria research studies (5 papers), Salmonella and Campylobacter epidemiology (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Getenet Beyene is often cited by papers focused on Vibrio bacteria research studies (5 papers), Salmonella and Campylobacter epidemiology (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Getenet Beyene collaborates with scholars based in Ethiopia, Germany and United Kingdom. Getenet Beyene's co-authors include Wondewosen Tsegaye, Gebre Kibru, Wondemagegn Mulu, Yohannes Mengistu, Daniel Asrat, John Wain, Tsegaye Sewunet, Gemeda Abebe, Tesfaye Kassa and Satheesh Nair and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Microbiology.

In The Last Decade

Getenet Beyene

30 papers receiving 877 citations

Author Peers

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

Author						Papers	Cites
Getenet Beyene	320	302	193	184	144	33	931
Birkneh Tilahun Tadesse	292 0.9×	320 1.1×	88 0.5×	221 1.2×	195 1.4×	74	1.2k
Zelalem Teklemariam	259 0.8×	309 1.0×	127 0.7×	148 0.8×	120 0.8×	48	931
Samuel Y. Maselle	312 1.0×	410 1.4×	51 0.3×	79 0.4×	240 1.7×	28	955
Drew J. Schwartz	565 1.8×	198 0.7×	86 0.4×	145 0.8×	126 0.9×	30	1.1k
Aaron O. Aboderin	202 0.6×	229 0.8×	191 1.0×	73 0.4×	364 2.5×	60	1.1k
E.E. Stobberingh	362 1.1×	116 0.4×	87 0.5×	76 0.4×	145 1.0×	50	958
Belay Anagaw	450 1.4×	433 1.4×	72 0.4×	165 0.9×	42 0.3×	31	974
P J Sanderson	264 0.8×	428 1.4×	189 1.0×	70 0.4×	38 0.3×	59	1.2k
Kirsi Skogberg	300 0.9×	210 0.7×	89 0.5×	38 0.2×	72 0.5×	28	869
Alemseged Abdissa	192 0.6×	392 1.3×	75 0.4×	162 0.9×	137 1.0×	78	1.1k

Countries citing papers authored by Getenet Beyene

Since Specialization

Citations

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

Fields of papers citing papers by Getenet Beyene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Getenet Beyene

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