T. Shirotani

16 total papers · 683 total citations
14 papers, 488 citations indexed

About

T. Shirotani is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, T. Shirotani has authored 14 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in T. Shirotani's work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). T. Shirotani is often cited by papers focused on Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). T. Shirotani collaborates with scholars based in Japan and United States. T. Shirotani's co-authors include Eiichi Araki, Hiroki Kishikawa, Kazuaki Yoshizato, Hiroyuki Motoshima, Masayoshi Shichiri, Nobuhiro Miyamura, M. Uehara, Kaku Tsuruzoe, Tetsuya Taguchi and S. Isami and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and Diabetologia.

In The Last Decade

T. Shirotani

14 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
T. Shirotani	247	233	164	105	103	14	488
Kleber L.A. Souza	143 0.6×	219 0.9×	134 0.8×	112 1.1×	116 1.1×	19	475
Kim Cheng	192 0.8×	141 0.6×	68 0.4×	91 0.9×	110 1.1×	12	498
Nadja Schulz	190 0.8×	154 0.7×	99 0.6×	113 1.1×	167 1.6×	13	521
Jelena Kolic	330 1.3×	282 1.2×	207 1.3×	87 0.8×	71 0.7×	13	550
Byung‐Hyun Park	206 0.8×	113 0.5×	70 0.4×	44 0.4×	99 1.0×	15	529
Yoshiro Kitahara	163 0.7×	101 0.4×	151 0.9×	38 0.4×	115 1.1×	19	533
C-G Östenson	216 0.9×	134 0.6×	137 0.8×	69 0.7×	72 0.7×	21	498
Taylor C. Rosa	160 0.6×	272 1.2×	134 0.8×	140 1.3×	108 1.0×	12	482
Christopher M. DaCosta	246 1.0×	240 1.0×	334 2.0×	49 0.5×	59 0.6×	13	547
Nayara C. Leite	149 0.6×	236 1.0×	129 0.8×	144 1.4×	126 1.2×	27	501

Countries citing papers authored by T. Shirotani

Since Specialization

Citations

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

Fields of papers citing papers by T. Shirotani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Shirotani

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