Taichi Takeda

34 total papers · 569 total citations
21 papers, 427 citations indexed

About

Taichi Takeda is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Taichi Takeda has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Hepatology and 4 papers in Epidemiology. Recurrent topics in Taichi Takeda's work include Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Liver Disease Diagnosis and Treatment (2 papers). Taichi Takeda is often cited by papers focused on Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Liver Disease Diagnosis and Treatment (2 papers). Taichi Takeda collaborates with scholars based in Japan, United States and Tunisia. Taichi Takeda's co-authors include Joseph P. Vacanti, Katsuhiro Asonuma, James E. Stein, James C. Gilbert, Tsuyoshi Hatada, Kazuo Maruyama, Tetsuo Yukioka, Akiko Nakamura, Hideo Wada and Shuji Isaji and has published in prestigious journals such as Journal of Cell Science, Transplantation and Tissue Engineering.

In The Last Decade

Taichi Takeda

19 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Taichi Takeda	202	134	74	71	58	21	427
Clara T. Nicolas	261 1.3×	197 1.5×	88 1.2×	75 1.1×	63 1.1×	24	468
L. Noël	106 0.5×	54 0.4×	72 1.0×	45 0.6×	8 0.1×	25	464
Changsheng He	140 0.7×	87 0.6×	68 0.9×	100 1.4×	4 0.1×	35	480
Takuo Noda	335 1.7×	42 0.3×	45 0.6×	6 0.1×	17 0.3×	22	452
Giovanni Frongia	264 1.3×	46 0.3×	28 0.4×	14 0.2×	3 0.1×	29	488
Dawesh Prakash Yadav	210 1.0×	34 0.3×	162 2.2×	10 0.1×	8 0.1×	34	424
Sadiq Rehmani	181 0.9×	15 0.1×	32 0.4×	34 0.5×	35 0.6×	25	381
E. Lockey	122 0.6×	14 0.1×	126 1.7×	23 0.3×	10 0.2×	21	422
R Pichlmayr	199 1.0×	152 1.1×	116 1.6×	15 0.2×	3 0.1×	22	390
Robert L. Madden	244 1.2×	23 0.2×	35 0.5×	19 0.3×	51 0.9×	24	458

Countries citing papers authored by Taichi Takeda

Since Specialization

Citations

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

Fields of papers citing papers by Taichi Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taichi Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Taichi Takeda. A scholar is included among the top collaborators of Taichi Takeda 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 Taichi Takeda. Taichi Takeda 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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