Teklay Gebrecherkos

34 total papers · 787 total citations
20 papers, 420 citations indexed

About

Teklay Gebrecherkos is a scholar working on Infectious Diseases, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Teklay Gebrecherkos has authored 20 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Epidemiology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Teklay Gebrecherkos's work include COVID-19 Clinical Research Studies (3 papers), Global Maternal and Child Health (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Teklay Gebrecherkos is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Global Maternal and Child Health (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Teklay Gebrecherkos collaborates with scholars based in Ethiopia, Netherlands and India. Teklay Gebrecherkos's co-authors include Feleke Moges, Mengistu Endris, Moges Tiruneh, Baye Gelaw, Belay Tessema, Abdurahaman Seid, Habtamu Sewunet Mekonnen, Zemichael Gizaw, Mulat Gebrehiwot and Amsalu Feleke and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

In The Last Decade

Teklay Gebrecherkos

20 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Teklay Gebrecherkos	159	111	91	64	59	20	420
Melese Abate Reta	137 0.9×	127 1.1×	90 1.0×	75 1.2×	58 1.0×	34	469
Richard Puleston	136 0.9×	112 1.0×	61 0.7×	82 1.3×	16 0.3×	31	483
Antônia Teresinha Tresoldi	165 1.0×	219 2.0×	34 0.4×	45 0.7×	26 0.4×	36	487
Ezera Agwu	56 0.4×	153 1.4×	79 0.9×	59 0.9×	49 0.8×	38	382
Ganesh Rai	87 0.5×	129 1.2×	42 0.5×	78 1.2×	56 0.9×	33	437
Meera Sharma	143 0.9×	113 1.0×	49 0.5×	84 1.3×	41 0.7×	16	407
Shristi Raut	144 0.9×	48 0.4×	65 0.7×	47 0.7×	13 0.2×	25	398
D Shrestha	57 0.4×	207 1.9×	70 0.8×	124 1.9×	37 0.6×	41	488
Clemens Masesa	182 1.1×	118 1.1×	62 0.7×	113 1.8×	17 0.3×	13	457
Miranda G. Loutet	201 1.3×	172 1.5×	40 0.4×	21 0.3×	47 0.8×	34	443

Countries citing papers authored by Teklay Gebrecherkos

Since Specialization

Citations

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

Fields of papers citing papers by Teklay Gebrecherkos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teklay Gebrecherkos

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