Taichi Murakami

53 total papers · 712 total citations
44 papers, 520 citations indexed

About

Taichi Murakami is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Taichi Murakami has authored 44 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Nephrology and 10 papers in Surgery. Recurrent topics in Taichi Murakami's work include Renal Diseases and Glomerulopathies (13 papers), Chronic Kidney Disease and Diabetes (11 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). Taichi Murakami is often cited by papers focused on Renal Diseases and Glomerulopathies (13 papers), Chronic Kidney Disease and Diabetes (11 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). Taichi Murakami collaborates with scholars based in Japan, United States and United Kingdom. Taichi Murakami's co-authors include Hideharu Abe, Kojiro Nagai, Seiji Kishi, Toshio Doi, Tatsuya Tominaga, Motokazu Matsuura, Masanori Tamaki, Hiroyuki Ono, Takeshi Matsubara and Toshikazu Araoka and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Taichi Murakami

44 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Taichi Murakami 233 172 91 82 71 44 520
Keita Mori 221 0.9× 140 0.8× 69 0.8× 133 1.6× 73 1.0× 32 590
Danuta Fedak 140 0.6× 105 0.6× 109 1.2× 61 0.7× 55 0.8× 43 614
Edgar Maquigussa 217 0.9× 110 0.6× 93 1.0× 57 0.7× 40 0.6× 28 452
Minfang Zhang 230 1.0× 269 1.6× 65 0.7× 67 0.8× 25 0.4× 48 605
Detian Li 215 0.9× 121 0.7× 59 0.6× 54 0.7× 36 0.5× 41 520
Nishio Honda 165 0.7× 160 0.9× 73 0.8× 73 0.9× 31 0.4× 37 535
Feng-Ying Lei 201 0.9× 168 1.0× 41 0.5× 64 0.8× 32 0.5× 33 507
Motokazu Matsuura 195 0.8× 190 1.1× 59 0.6× 81 1.0× 143 2.0× 30 537
Xueyan Wang 168 0.7× 122 0.7× 76 0.8× 123 1.5× 132 1.9× 33 499
Marek Kuźniewski 120 0.5× 125 0.7× 163 1.8× 108 1.3× 126 1.8× 65 537

Countries citing papers authored by Taichi Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Taichi Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taichi Murakami

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