T Takashima

83 total papers · 1.9k total citations
40 papers, 1.4k citations indexed

About

T Takashima is a scholar working on Pharmacology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, T Takashima has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 12 papers in Molecular Biology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in T Takashima's work include Antibiotics Pharmacokinetics and Efficacy (14 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Blood disorders and treatments (4 papers). T Takashima is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (14 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Blood disorders and treatments (4 papers). T Takashima collaborates with scholars based in Japan and Germany. T Takashima's co-authors include Kazuki Matsuura, Koichi Yamaguchi, Takenori Kozuka, P Seez, Hitoshi Katayama, Masafumi Taniwaki, Kazuhiro Nishida, S Misawa, Hitoshi Nakagawa and Yutaka Ueda and has published in prestigious journals such as Blood, Radiology and International Journal of Cancer.

In The Last Decade

T Takashima

35 papers receiving 1.3k citations

Hit Papers

Adverse reactions to ioni... 1990 2026 2002 2014 1990 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T Takashima 347 252 198 196 181 40 1.4k
Kazuki Matsuura 492 1.4× 250 1.0× 199 1.0× 190 1.0× 181 1.0× 37 1.5k
Chantal Jouanneau 80 0.2× 536 2.1× 208 1.1× 382 1.9× 24 0.1× 46 1.4k
Claude Jacobs 70 0.2× 736 2.9× 239 1.2× 193 1.0× 11 0.1× 38 1.4k
T B Wallington 72 0.2× 80 0.3× 155 0.8× 302 1.5× 112 0.6× 43 1.4k
Lourdes Baranda 159 0.5× 85 0.3× 102 0.5× 57 0.3× 177 1.0× 57 1.8k
Jean‐François Augusto 42 0.1× 278 1.1× 171 0.9× 369 1.9× 34 0.2× 84 1.3k
M. A. Ogryzlo 177 0.5× 183 0.7× 165 0.8× 114 0.6× 21 0.1× 36 1.8k
E Mandema 241 0.7× 65 0.3× 135 0.7× 124 0.6× 30 0.2× 51 1.2k
A J Crisp 81 0.2× 22 0.1× 241 1.2× 184 0.9× 60 0.3× 62 1.5k
M I Cawley 87 0.3× 20 0.1× 532 2.7× 117 0.6× 48 0.3× 67 1.7k

Countries citing papers authored by T Takashima

Since Specialization
Citations

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

Fields of papers citing papers by T Takashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Takashima

This figure shows the co-authorship network connecting the top 25 collaborators of T Takashima. A scholar is included among the top collaborators of T Takashima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Takashima. T Takashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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