Daisuke Teshima

694 citations
44 papers · 539 · h-index 16

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 7
    • Pharmacy and Medical Practices 6
    • Plant tissue culture and regeneration 3

Daisuke Teshima

41 papers receiving 509 citations

Peers

Daisuke Teshima
Comparison fields: 5 of 98
  • Transplantation 53
  • Analytical Chemistry 75
  • Bioengineering 37
  • Pharmaceutical Science 33
  • Pharmacology 85
Replace Ben Greijdanus with:
Ben Greijdanus Netherlands
Stéphanie Chhun France
Yahdiana Harahap Indonesia
Patrice Muret France
Silvia Romano‐Moreno Mexico
Iman Zaghloul United States
Clarence T. Ueda United States
Manish Yadav India
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200346
2 200236
3 200431
4 200427
5 198826
6 200125
7 200824
8 198824
9 200323
10 200922
11 200318
12 200318
13 201518
14 201817
15 200217
16 200815
17 200215
18 200114
19 199211
20 200210

About Daisuke Teshima

Daisuke Teshima is a scholar working on Pharmacology, Pharmacology, Molecular Biology, Pulmonary and Respiratory Medicine and Transplantation, having authored 44 papers that have together received 539 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Pharmacy and Medical Practices (6 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Pharmacological Effects and Toxicity Studies (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Oral health in cancer treatment (3 papers) and Plant tissue culture and regeneration (3 papers). The work is most often cited by research in Transplantation (53 citations), Analytical Chemistry (75 citations), Bioengineering (37 citations), Pharmaceutical Science (33 citations) and Pharmacology (85 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, Yu Kataoka, Motoyoshi Satake, Kohei Otsubo, Nobuki Kitagawa and Toshiaki Sendo. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Naunyn-Schmiedeberg s Archives of Pharmacology, Plant Cell Reports, Biomedical Chromatography 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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