Daisuke Teshima

698 citations
45 papers · 602 · h-index 17

Impact in

Papers in

    • Pharmacy and Medical Practices 6
    • Antibiotics Pharmacokinetics and Efficacy 3
    • Plant tissue culture and regeneration 3

Daisuke Teshima

42 papers receiving 559 citations

Peers

Daisuke Teshima
Comparison fields: 5 of 99
  • Transplantation 56
  • Analytical Chemistry 78
  • Pharmaceutical Science 38
  • Bioengineering 35
  • Pharmacology 40
Replace Clarence T. Ueda with:
Clarence T. Ueda United States
Manish Yadav India
I Bekersky United States
F.C. Lam New Zealand
Anooshirvan Shayeganpour Canada
Henri Humbert France
Inès Gana France
Maria Paula Marques Brazil
Yahdiana Harahap Indonesia
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Teshima

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Teshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200346
2 200243
3 200434
4 198832
5 198832
6 200428
7 200827
8 200126
9 200324
10 200922
11 200120
12 200319
13 200219
14 200318
15 201518
16 201817
17 200816
18 199016
19 200215
20 199215

About Daisuke Teshima

Daisuke Teshima is a scholar working on Pharmacology, Molecular Biology, Geriatrics and Gerontology, Transplantation and Pharmacology, having authored 45 papers that have together received 602 indexed citations. Recurring topics across this work include Pharmacy and Medical Practices (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Plant tissue culture and regeneration (3 papers), Epilepsy research and treatment (2 papers), Oral health in cancer treatment (2 papers) and Clinical practice guidelines implementation (2 papers). The work is most often cited by research in Transplantation (56 citations), Analytical Chemistry (78 citations), Pharmaceutical Science (38 citations), Bioengineering (35 citations) and Pharmacology (40 citations). Daisuke Teshima has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshinori Itoh, Kazutaka Makino, Ryozo Oishi, R. Oishi, Toshinobu Aoyama, Motoyoshi Satake, Yu Kataoka, K. Shimomura, Kohei Otsubo and Kayo Ikeda. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Plant Cell Reports, Biomedical Chromatography, Naunyn-Schmiedeberg s Archives of Pharmacology and Journal of Clinical Pharmacy and Therapeutics.

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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