Mekonnen Teferi

1.1k citations
20 papers · 170 indexed · h-index 8
Topics
Vibrio bacteria research studies (8 papers)Salmonella and Campylobacter epidemiology (6 papers)Tuberculosis Research and Epidemiology (5 papers)

In The Last Decade

Mekonnen Teferi

17 papers receiving 166 citations

Peers

Mekonnen Teferi
Comparison fields: 5 of 60
  • Infectious Diseases 89
  • Endocrinology 54
  • Epidemiology 46
  • Food Science 37
  • Surgery 23
Replace Eva Ferreras with:
Eva Ferreras Switzerland
Zahid Hasan Khan Bangladesh
Krista Vaidya Nepal
Michael Adjabeng Ghana
Obvious Nchimunya Chilyabanyama Zambia
Michael Ooko United Kingdom
Maurice Ope Kenya
Ahmed Nawsher Alam Bangladesh
Katherine Lamba United States
Arun S Karthikeyan India
Mekonnen Teferi relative to Eva Ferreras Switzerland Eva Ferreras's profile →
Citations per field
00.5×3.5×
Eva Ferreras · 1×
Citations per year

Countries citing papers authored by Mekonnen Teferi

Since Specialization
Citations

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

Fields of papers citing papers by Mekonnen Teferi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mekonnen Teferi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 7
6 4
7 2
8 20
9 4
10 10
11 12
12 5
13 7
14 38
15 9
16 3
17 15
18 7
19 9
20 17

About Mekonnen Teferi

Mekonnen Teferi is a scholar working on Endocrinology, Modeling and Simulation and Infectious Diseases, having authored 20 papers that have together received 170 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (8 papers), Salmonella and Campylobacter epidemiology (6 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Endocrinology (54 citations), Infectious Diseases (89 citations) and Modeling and Simulation (11 citations). Mekonnen Teferi has collaborated with scholars based in Ethiopia, United Kingdom and South Korea. Frequent co-authors include Ziad El‐Khatib, Minyahil Tadesse Boltena, Benedict Oppong Asamoah, Mulatu Biru, Florian Marks, Ellis Owusu‐Dabo, Tsegaye Hailu, Adane Mihret, Raphaël Rakotozandrindrainy and Ligia María Cruz Espinoza. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and International Journal of Environmental Research and Public Health.

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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