Mitchell Adeyemi

845 citations
11 papers · 694 · h-index 9

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 6
    • Tuberculosis Research and Epidemiology 1
    • Escherichia coli research studies 2

Mitchell Adeyemi

11 papers receiving 677 citations

Peers

Mitchell Adeyemi
Comparison fields: 5 of 71
  • Endocrinology 52
  • Infectious Diseases 139
  • Oncology 135
  • Parasitology 31
  • Animal Science and Zoology 36
Replace Natalia Torow with:
Natalia Torow Germany
Gustavo G. Caballero-Flores United States
Markus Beutler Germany
Hengameh Chloé Mirsepasi‐Lauridsen Denmark
Mayumi K. Holly United States
Melanie D. Craven United States
Tapas Kumar Goswami India
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Citations per field
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Citations per year

Countries citing papers authored by Mitchell Adeyemi

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Adeyemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitchell Adeyemi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitchell Adeyemi Line = papers co-authored together Mitchell Adeyemi links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014306
2 2012154
3 201577
4 201533
5 201930
6 201327
7 201526
8 201322
9 201312
10
Retrospective study on bovine tuberculosis and other diseases of public health importance at Oko-Oba Abattoir, Lagos State.
20106
11 20111

About Mitchell Adeyemi

Mitchell Adeyemi is a scholar working on Infectious Diseases, Endocrinology, Food Science, Clinical Biochemistry and Parasitology, having authored 11 papers that have together received 694 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Escherichia coli research studies (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Gut microbiota and health (2 papers), Polyomavirus and related diseases (1 paper), Tuberculosis Research and Epidemiology (1 paper), Child Nutrition and Water Access (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Endocrinology (52 citations), Infectious Diseases (139 citations), Oncology (135 citations), Parasitology (31 citations) and Animal Science and Zoology (36 citations). Mitchell Adeyemi has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Debasish Saha, Martín Antonio, Oscar Colin Stine, David Wang, Usman N. Ikumapayi, Efrem S. Lim, Alejandro Reyes, Jeffrey I. Gordon, Daniel C. Brennan and Rajhab Sawasawa Mkakosya. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, Emerging infectious diseases, The Pediatric Infectious Disease Journal and Virology Journal.

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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