Shigetada Teshima

45 total papers · 1.1k total citations
26 papers, 954 citations indexed

About

Shigetada Teshima is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Shigetada Teshima has authored 26 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Surgery and 6 papers in Immunology. Recurrent topics in Shigetada Teshima's work include Helicobacter pylori-related gastroenterology studies (8 papers), Vitamin C and Antioxidants Research (4 papers) and Heat shock proteins research (4 papers). Shigetada Teshima is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (8 papers), Vitamin C and Antioxidants Research (4 papers) and Heat shock proteins research (4 papers). Shigetada Teshima collaborates with scholars based in Japan, United States and India. Shigetada Teshima's co-authors include Kazuhito Rokutan, Kyoichi Kishi, Takeshi Nikawa, Tsukasa Kawahara, Toshiro Sugiyama, Tomoko Kawai, Madoka Ikemoto‐Uezumi, T Hirakawa, Shin’ichi Takeda and Takae Towatari and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Gastroenterology.

In The Last Decade

Shigetada Teshima

26 papers receiving 936 citations

Author Peers

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

Author						Papers	Cites
Shigetada Teshima	410	325	267	222	112	26	954
A. Verheyen	348 0.8×	86 0.3×	82 0.3×	279 1.3×	104 0.9×	45	993
Christiane Habich	531 1.3×	289 0.9×	92 0.3×	265 1.2×	89 0.8×	20	1.1k
D. A. Russell	263 0.6×	288 0.9×	162 0.6×	171 0.8×	24 0.2×	30	1.1k
Tomomi Ikeda	309 0.8×	119 0.4×	143 0.5×	76 0.3×	33 0.3×	19	1.2k
Donald Wilhelm	235 0.6×	215 0.7×	80 0.3×	150 0.7×	82 0.7×	44	1.1k
Haitham Idriss	515 1.3×	299 0.9×	57 0.2×	95 0.4×	79 0.7×	23	1.2k
Christopher F. MacManus	380 0.9×	302 0.9×	146 0.5×	77 0.3×	24 0.2×	16	1.1k
Pamela M. J. O’Connor	399 1.0×	130 0.4×	249 0.9×	298 1.3×	441 3.9×	25	1.2k
Thierry Gauthier	398 1.0×	185 0.6×	65 0.2×	90 0.4×	114 1.0×	42	1.1k
Thomas Gobbetti	556 1.4×	399 1.2×	134 0.5×	116 0.5×	33 0.3×	23	1.1k

Countries citing papers authored by Shigetada Teshima

Since Specialization

Citations

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

Fields of papers citing papers by Shigetada Teshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigetada Teshima

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