Tadashi Karashima

84 total papers · 1.9k total citations
40 papers, 889 citations indexed

About

Tadashi Karashima is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Tadashi Karashima has authored 40 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 14 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Tadashi Karashima's work include Autoimmune Bullous Skin Diseases (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (14 papers) and Skin and Cellular Biology Research (8 papers). Tadashi Karashima is often cited by papers focused on Autoimmune Bullous Skin Diseases (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (14 papers) and Skin and Cellular Biology Research (8 papers). Tadashi Karashima collaborates with scholars based in Japan, United Kingdom and Germany. Tadashi Karashima's co-authors include Takashi Hashimoto, Fiona M. Watt, Norito Ishii, Teruki Dainichi, Takekuni Nakama, Hiroshi Koga, Shinichiro Yasumoto, Takahiro Hamada, Bungo Ohyama and Hiroshi Hachisuka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Tadashi Karashima

39 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
Tadashi Karashima	568	403	385	210	140	40	889
Bungo Ohyama	586 1.0×	461 1.1×	485 1.3×	67 0.3×	51 0.4×	33	817
Hironori Niizeki	341 0.6×	150 0.4×	309 0.8×	102 0.5×	132 0.9×	52	1.0k
Hongjiang Qiao	259 0.5×	153 0.4×	226 0.6×	110 0.5×	346 2.5×	46	1.1k
A Delpech	164 0.3×	145 0.4×	110 0.3×	430 2.0×	424 3.0×	46	979
Meral J. Arin	186 0.3×	96 0.2×	82 0.2×	332 1.6×	319 2.3×	26	748
Clara Sambade	223 0.4×	78 0.2×	93 0.2×	162 0.8×	495 3.5×	23	970
Veronica Martini	173 0.3×	306 0.8×	66 0.2×	54 0.3×	274 2.0×	40	732
A. Mussi	272 0.5×	161 0.4×	308 0.8×	15 0.1×	97 0.7×	33	805
Stefan Frischbutter	194 0.3×	217 0.5×	443 1.2×	20 0.1×	138 1.0×	33	895
Jeffrey R. Shearstone	138 0.2×	137 0.3×	39 0.1×	121 0.6×	642 4.6×	27	998

Countries citing papers authored by Tadashi Karashima

Since Specialization

Citations

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

Fields of papers citing papers by Tadashi Karashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Karashima

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