Oyewale Tomori

6.2k citations
112 papers · 3.2k indexed · 1 hit paper · h-index 28
Topics
Viral Infections and Outbreaks Research (57 papers)Viral Infections and Vectors (51 papers)Mosquito-borne diseases and control (27 papers)

In The Last Decade

Oyewale Tomori

105 papers receiving 3.0k citations

Hit Papers

The Global Virome Project2018202620202023201850100150200250

Peers

Oyewale Tomori
Comparison fields: 5 of 138
  • Infectious Diseases 2.4k
  • Public Health, Environmental and Occupational Health 1.1k
  • Epidemiology 547
  • Emergency Medical Services 514
  • Modeling and Simulation 408
Replace Ali S. Khan with:
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Oyewale Tomori relative to Ali S. Khan United States Ali S. Khan's profile →
Citations per field
00.5×
Ali S. Khan · 1×
Citations per year

Countries citing papers authored by Oyewale Tomori

Since Specialization
Citations

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

Fields of papers citing papers by Oyewale Tomori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oyewale Tomori

This figure shows the co-authorship network connecting the top 25 collaborators of Oyewale Tomori. A scholar is included among the top collaborators of Oyewale Tomori 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 Oyewale Tomori. Oyewale Tomori 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 2
3 13
4 17
5 60
6 11
7 18
8 60
9 184
10 103
11 3
12 30
13 33
14 5
15
Sexually transmitted diseases in Ibadan in the 1990's: HIV infection--an additional dimension.
5
16 2
17
Experimental infection of dogs and mice with rabies virus isolated from the saliva of unvaccinated clinically healthy dogs.
0
18
Isolation of rabies virus from clinically healthy and previously unvaccinated dogs
7
19
Orungo virus: a new agent from mosquitoes and man in Uganda and Nigeria.
5
20
Susceptibility of laboratory and domestic animals to experimental infection with Orungo virus.
2

About Oyewale Tomori

Oyewale Tomori is a scholar working on Infectious Diseases, Virology and Emergency Medical Services, having authored 112 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (57 papers), Viral Infections and Vectors (51 papers) and Mosquito-borne diseases and control (27 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Modeling and Simulation (408 citations) and Emergency Medical Services (514 citations). Oyewale Tomori has collaborated with scholars based in Nigeria, United States and United Kingdom. Frequent co-authors include A. Fabiyi, Joseph B. McCormick, Thomas P. Monath, Hanna Lewicki, Michael J. Buchmeier, O.D. Olaleye, Susan P. Fisher‐Hoch, Lori Hutwagner, Yetunde Fakile and Dennis Carroll. Their work appears in journals such as Nature, Science and The Lancet.

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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