M. Tajima

1.3k citations
57 papers · 1.1k · h-index 19

Impact in

Papers in

M. Tajima

53 papers receiving 1.0k citations

Peers

M. Tajima
Comparison fields: 5 of 89
  • Microbiology 303
  • Animal Science and Zoology 344
  • Epidemiology 385
  • Infectious Diseases 201
  • Parasitology 70
Replace Franco Guscetti with:
Franco Guscetti Switzerland
W. J. Hadlow United States
Kumiko KIMURA Japan
Maria C. Peleteiro Portugal
Bernhard M. Spiess Switzerland
M J Lawman United States
S. Lazáry Switzerland
Jia Zhu United States
Fun-In Wang Taiwan
Kazuya Yamanouchi Japan
M. Tajima relative to Franco Guscetti Switzerland Franco Guscetti's profile →
Citations per field
00.5×2.8×
Franco Guscetti · 1×
Citations per year

Countries citing papers authored by M. Tajima

Since Specialization
Citations

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

Fields of papers citing papers by M. Tajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Tajima, 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 M. Tajima Line = papers co-authored together M. Tajima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199288
2 198870
3 199865
4 199960
5 198251
6 198648
7 199547
8 197046
9 200045
10 199744
11 198737
12 199234
13 196829
14 199828
15 198427
16 199325
17 199025
18 198222
19 198318
20
The pathogenesis of rinderpest in the lymph nodes of cattle. Light and electron microscopic studies.
197118

About M. Tajima

M. Tajima is a scholar working on Epidemiology, Molecular Biology, Animal Science and Zoology, Microbiology and Immunology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (12 papers), Microbial infections and disease research (12 papers), Herpesvirus Infections and Treatments (11 papers), Aquaculture disease management and microbiota (6 papers), Bone Metabolism and Diseases (6 papers), Virus-based gene therapy research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Bone health and treatments (5 papers). The work is most often cited by research in Microbiology (303 citations), Animal Science and Zoology (344 citations), Epidemiology (385 citations), Infectious Diseases (201 citations) and Parasitology (70 citations). M. Tajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsuo Nunoya, T. Yagihashi, Y Otaki, Kazumoto Shibuya, Jyoji Yamate, Masato Tsurudome, Akihiro Sudo, Toshiki Saito, Atsushi Kato and Morihiro Ito. Their work appears in journals such as Avian Pathology, Journal of Comparative Pathology, Avian Diseases, Laboratory Animals and Archives of Virology.

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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