T. Hashimoto

20 papers receiving 438 citations

Peers

T. Hashimoto
Comparison fields: 5 of 85
  • Biotechnology 43
  • Molecular Medicine 23
  • Immunology 85
  • Plant Science 134
  • Pharmacology 56
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Stringner S. Yang United States
Kalaiarasan Ponnusamy India
Markus Susani Austria
Arkadiusz Samojedny Poland
J. P. Rosselet United States
Sudarslal Sadasivan Nair India
Jongseok Lee South Korea
Ivan Bašić Croatia
Michael Dreyfuss Switzerland
Tatsuya Ishihara Japan
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Citations per year

Countries citing papers authored by T. Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by T. Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994194
2
Synergistic regulatory effects of interleukin 6 and interleukin 1 on the growth and differentiation of human and mouse myeloid leukemic cell lines.
198952
3 198035
4
Kasugamycin, a new antibiotic.
196532
5 198130
6
STUDIES ON THE PREVENTIVE EFFECT OF KASUGAMYCIN ON RICE BLAST.
196523
7
ANTIMICROBIAL ACTIVITY OF KASUGAMYCIN.
196523
8 197917
9 196713
10 198012
11 201211
12 19767
13 19686
14 19775
15
Scanning electron microscopic study of changes in the surfaces of lymphokine-treated guinea pig macrophages.
19815
16 19834
17 19793
18 20051
19 20041
20
[Relationship between chemotaxis and surface antigen of neutrophils].
19891

About T. Hashimoto

T. Hashimoto is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 23 papers that have together received 475 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (4 papers), Respiratory Support and Mechanisms (2 papers), Antibiotic Resistance in Bacteria (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cell Adhesion Molecules Research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Diphtheria, Corynebacterium, and Tetanus (2 papers). The work is most often cited by research in Biotechnology (43 citations), Molecular Medicine (23 citations), Immunology (85 citations), Plant Science (134 citations) and Pharmacology (56 citations). T. Hashimoto has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Yasuyuki Yamada, Kikuo Onozaki, Koh Miura, Hitoshi Umezawa, Hisayoshi Nakazawa, S Mitsuhashi, Yoshimi Homma, Mohamed Hamada, Yukio Akiyama and T Hirano. Their work appears in journals such as Cellular Immunology, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, International Journal of Radiation Oncology*Biology*Physics and Journal of Applied Physiology.

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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