M. Uchida

37 total papers · 1.5k total citations
23 papers, 1.1k citations indexed

About

M. Uchida is a scholar working on Surgery, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, M. Uchida has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in M. Uchida's work include Neurosurgical Procedures and Complications (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Vitamin D Research Studies (2 papers). M. Uchida is often cited by papers focused on Neurosurgical Procedures and Complications (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Vitamin D Research Studies (2 papers). M. Uchida collaborates with scholars based in Japan and United States. M. Uchida's co-authors include Kentaro Nakamura, Hiroshi Kawaguchi, Takashi Yamada, Atsushi Seichi, Kazuto Hoshi, N. Ogata, Satoru Kamekura, Hirotaka Chikuda, Takashi Shimoaka and Ung‐il Chung and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and Journal of Chromatography A.

In The Last Decade

M. Uchida

22 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
M. Uchida 447 302 272 192 172 23 1.1k
Jörg Heineke 439 1.0× 468 1.5× 112 0.4× 79 0.4× 64 0.4× 15 1.4k
Medet Jumabay 156 0.3× 541 1.8× 301 1.1× 42 0.2× 196 1.1× 37 1.5k
Seong Jae Choi 547 1.2× 276 0.9× 91 0.3× 194 1.0× 132 0.8× 33 1.2k
M.K. Williamson 260 0.6× 355 1.2× 92 0.3× 200 1.0× 368 2.1× 17 1.3k
Elena D’Amato 283 0.6× 408 1.4× 219 0.8× 59 0.3× 51 0.3× 22 1.2k
Masayuki Hosoi 162 0.4× 472 1.6× 180 0.7× 38 0.2× 239 1.4× 42 1.4k
Michelle D. Johnson 355 0.8× 417 1.4× 152 0.6× 72 0.4× 245 1.4× 25 1.3k
Steffan D. Bos 621 1.4× 523 1.7× 252 0.9× 142 0.7× 16 0.1× 44 1.5k
Augustin Latourte 719 1.6× 352 1.2× 210 0.8× 75 0.4× 272 1.6× 51 1.2k
Raghunatha R. Yammani 526 1.2× 627 2.1× 82 0.3× 57 0.3× 59 0.3× 35 1.3k

Countries citing papers authored by M. Uchida

Since Specialization
Citations

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

Fields of papers citing papers by M. Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Uchida

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