T Imaeda

1.3k citations
62 papers · 1k · h-index 18

Impact in

    • Actinomycetales infections and treatment
    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment

Papers in

T Imaeda

54 papers receiving 852 citations

Peers

T Imaeda
Comparison fields: 5 of 73
  • Microbiology 66
  • Infectious Diseases 382
  • Epidemiology 259
  • Anatomy 14
  • Genetics 120
Replace Seii Ohka with:
Seii Ohka Japan
Hilary Clay United States
Jessica Carrière France
Mickey Pentecost United States
Klara Abravaya United States
Carolyn J. Decker United States
Alan G. Goodman United States
Ute Geigenmüller United States
K. Radsak Germany
Darin L. Wiesner United States
T Imaeda relative to Seii Ohka Japan Seii Ohka's profile →
Citations per field
00.5×2×4×5.0×
Seii Ohka · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198598
2
Electron microscopic study of Wallerian degeneration in cutaneous nerves caused by mechanical injury.
196783
3 198976
4 196871
5 196362
6 196260
7 198251
8 199036
9 198432
10 198831
11
Electron microscopy. Approach to leprosy research.
196628
12
Cellular response to Freund's adjuvant in the rabbit lung. An electron microscope study.
196626
13 196925
14 196223
15 197822
16 198622
17 196021
18 197118
19 196917
20 196916

About T Imaeda

T Imaeda is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Endocrinology and Genetics, having authored 62 papers that have together received 1k indexed citations. Recurring topics across this work include Leprosy Research and Treatment (24 papers), Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (11 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers), Diphtheria, Corynebacterium, and Tetanus (4 papers), Actinomycetales infections and treatment (4 papers) and Skin Diseases and Diabetes (2 papers). The work is most often cited by research in Microbiology (66 citations), Infectious Diseases (382 citations), Epidemiology (259 citations), Anatomy (14 citations) and Genetics (120 citations). T Imaeda has collaborated with scholars based in Venezuela, United States and Japan. Frequent co-authors include Benito Galindo, Fuminori Kanetsuna, Lane Barksdale, Ikuya Yano, Waldemar F. Kirchheimer, M Tsukamura, MARY STRASBERG RIEBER, Michael V. Norgard, Italo Mario Cesari and J Convit. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Journal of Medical Microbiology, Journal of Virology and 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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