M Tsukamura

246 papers receiving 3.1k citations

Peers

M Tsukamura
Comparison fields: 5 of 97
  • Microbiology 778
  • Small Animals 834
  • Infectious Diseases 1.4k
  • Epidemiology 2.4k
  • Molecular Medicine 136
Replace Patricia S. Conville with:
Patricia S. Conville United States
Michio Tsukamura Japan
Salman H. Siddiqi United States
Gloria M. González Mexico
Jean‐Marc Reyrat France
Lucio Vera‐Cabrera Mexico
Sylvia Cardoso Leão Brazil
Béate Heym France
George P. Kubica United States
V. Lévy‐Frébault France
M Tsukamura relative to Patricia S. Conville United States Patricia S. Conville's profile →
Citations per field
00.5×1.5×
Patricia S. Conville · 1×
Citations per year

Countries citing papers authored by M Tsukamura

Since Specialization
Citations

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

Fields of papers citing papers by M Tsukamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 266 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971188
2 1967172
3 1990157
4 1985124
5 1988122
6 1966119
7 1972117
8 1991113
9 197298
10 199396
11 196983
12 199163
13 199160
14 198956
15 197455
16 198548
17 197647
18 197645
19 197744
20 197942

About M Tsukamura

M Tsukamura is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Surgery and Small Animals, having authored 266 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (208 papers), Tuberculosis Research and Epidemiology (104 papers), Infectious Diseases and Mycology (26 papers), Phenothiazines and Benzothiazines Synthesis and Activities (22 papers), Diagnosis and treatment of tuberculosis (21 papers), Actinomycetales infections and treatment (18 papers), Quinazolinone synthesis and applications (13 papers) and Cancer therapeutics and mechanisms (12 papers). The work is most often cited by research in Microbiology (778 citations), Small Animals (834 citations), Infectious Diseases (1.4k citations), Epidemiology (2.4k citations) and Molecular Medicine (136 citations). M Tsukamura has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Richard J. Wallace, S Tsukamura, Barbara A. Brown, Vella A. Silcox, Peter Jenkins, Donald R. Nash, Shoji Mizuno, June M. Brown, G O Onyi and Ikuya Yano. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Microbiology, The Journal of Infectious Diseases and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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