Tetsuro MINAMI

879 citations
36 papers · 751 indexed · h-index 14
Topics
Vector-borne infectious diseases (28 papers)Vector-Borne Animal Diseases (14 papers)Toxin Mechanisms and Immunotoxins (10 papers)
Partner nations
JapanKenyaFrance

In The Last Decade

Tetsuro MINAMI

36 papers receiving 691 citations

Peers

Tetsuro MINAMI
Comparison fields: 5 of 55
  • Parasitology 540
  • Ecology, Evolution, Behavior and Systematics 289
  • Infectious Diseases 273
  • Insect Science 192
  • Animal Science and Zoology 112
Replace L. A. Y. Johnston with:
L. A. Y. Johnston Australia
D.W. Brocklesby United States
Reginaldo G. Bastos United States
Dominique Martinez France
A.J. De Vos Australia
R.J. Dalgliesh Australia
L. L. Callow Australia
Manish Kumar India
Sadao Onoe Japan
Hasan Eren Türkiye
Tetsuro MINAMI relative to L. A. Y. Johnston Australia L. A. Y. Johnston's profile →
Citations per field
00.5×12.3×
L. A. Y. Johnston · 1×
Citations per year

Countries citing papers authored by Tetsuro MINAMI

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro MINAMI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro MINAMI

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro MINAMI. A scholar is included among the top collaborators of Tetsuro MINAMI 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 Tetsuro MINAMI. Tetsuro MINAMI 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 39
2 53
3 83
4 5
5 12
6 7
7
Serological survey of bovine theileriosis in Malaysia
4
8 3
9 12
10 13
11 5
12 16
13 15
14 9
15 3
16 22
17 7
18
Clinico-hematologic and serological comparison of Japanese and Russian strains of Theileria sergenti.
62
19
Diagnosis of Bovine Babesiosis by the Capillary-Tube Agglutination Test
1
20 3

About Tetsuro MINAMI

Tetsuro MINAMI is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 36 papers that have together received 751 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (28 papers), Vector-Borne Animal Diseases (14 papers) and Toxin Mechanisms and Immunotoxins (10 papers). The work is most often cited by research in Parasitology (540 citations), Insect Science (192 citations) and Ecology, Evolution, Behavior and Systematics (289 citations). Tetsuro MINAMI has collaborated with scholars based in Japan, Kenya and France. Frequent co-authors include Toru FUJINAGA, A.D. Irvin, D. Dobbelaere, P.R. Spooner, J.G.R. Ocama, Shinya Shimizu, D.M. Mwamachi, Shoji Uga, Ken Furuya and Yoshio Nakamura. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Tropical Medicine and Hygiene and Veterinary Parasitology.

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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