T Imaeda

1.3k citations
59 papers · 1.0k · h-index 19

Impact in

Papers in

T Imaeda

52 papers receiving 859 citations

Peers

T Imaeda
Comparison fields: 5 of 95
  • Microbiology 33
  • Infectious Diseases 424
  • Epidemiology 555
  • Small Animals 77
  • Pharmacology 67
Replace Kijeong Kim with:
Kijeong Kim South Korea
Vani Brahmachari India
Michael Käser Switzerland
Aména Ben Younes France
Yongnian Shen China
Patrício Manque Chile
Shu-Ying Yu China
Katherine A. Mattos Brazil
Eliza B. Wolfson United States
Sylvie Poulet France
T Imaeda relative to Kijeong Kim South Korea Kijeong Kim's profile →
Citations per field
00.5×5.6×
Kijeong Kim · 1×
Citations per year

Countries citing papers authored by T Imaeda

Since Specialization
Citations

This map shows the geographic impact of T Imaeda'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 T Imaeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Imaeda more than expected).

Fields of papers citing papers by T Imaeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985100
2
Electron microscopic study of Wallerian degeneration in cutaneous nerves caused by mechanical injury.
196783
3 198978
4 196873
5 196363
6 196262
7 198252
8 198432
9 198831
10
Electron microscopy. Approach to leprosy research.
196627
11
Cellular response to Freund's adjuvant in the rabbit lung. An electron microscope study.
196627
12 196926
13 196223
14 197823
15
[A taxonomic study on a mycobacterium which caused a skin ulcer in a Japanese girl and resembled Mycobacterium ulcerans].
198923
16 198622
17 196021
18 196918
19 197118
20 196917

About T Imaeda

T Imaeda is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Ecology and Pharmacology, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (30 papers), Leprosy Research and Treatment (18 papers), Tuberculosis Research and Epidemiology (16 papers), Bacteriophages and microbial interactions (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). The work is most often cited by research in Microbiology (33 citations), Infectious Diseases (424 citations), Epidemiology (555 citations), Small Animals (77 citations) and Pharmacology (67 citations). T Imaeda has collaborated with scholars based in Venezuela, United States and Japan. Frequent co-authors include B Galindo, Fuminori Kanetsuna, Lane Barksdale, W. F. Kirchheimer, M. Rieber, Michael V. Norgard, Italo M. Cesari, J Convit, M Tsukamura and Ikuya Yano. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Journal of Medical Microbiology, Journal of Virology and Infection and Immunity.

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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