Tomonori Uchimura

20 total papers · 938 total citations
14 papers, 770 citations indexed

About

Tomonori Uchimura is a scholar working on Clinical Biochemistry, Physiology and Immunology. According to data from OpenAlex, Tomonori Uchimura has authored 14 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Biochemistry, 5 papers in Physiology and 4 papers in Immunology. Recurrent topics in Tomonori Uchimura's work include Advanced Glycation End Products research (10 papers), Alzheimer's disease research and treatments (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Tomonori Uchimura is often cited by papers focused on Advanced Glycation End Products research (10 papers), Alzheimer's disease research and treatments (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Tomonori Uchimura collaborates with scholars based in Japan, United States and Russia. Tomonori Uchimura's co-authors include Ikuro Maruyama, Koichi Kawahara, Kazuhiro Abeyama, Noboru Taniguchi, Yasushi Yoshimoto, Yasuhiko Yamamoto, Hiroshi Yamamoto, Satoshi Iino, Nobuo Ida and Yoshiaki Yamazaki and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes Care and FEBS Letters.

In The Last Decade

Tomonori Uchimura

13 papers receiving 753 citations

Author Peers

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

Author						Papers	Cites
Tomonori Uchimura	226	210	158	158	120	14	770
Khaled Khazim	94 0.4×	195 0.9×	311 2.0×	28 0.2×	75 0.6×	16	875
Akira Mima	136 0.6×	105 0.5×	311 2.0×	27 0.2×	97 0.8×	19	900
Montserrat Aguilar-Hernández	304 1.3×	154 0.7×	281 1.8×	45 0.3×	39 0.3×	16	758
Connie Karschimkus	133 0.6×	89 0.4×	102 0.6×	26 0.2×	73 0.6×	23	632
Dhruv K. Singh	115 0.5×	49 0.2×	203 1.3×	59 0.4×	67 0.6×	19	793
Ihsan Gadi	44 0.2×	158 0.8×	328 2.1×	69 0.4×	106 0.9×	13	663
Xiaoping Shen	393 1.7×	153 0.7×	283 1.8×	18 0.1×	105 0.9×	22	814
Mai Sugahara	58 0.3×	44 0.2×	201 1.3×	127 0.8×	105 0.9×	15	758
Moh’d Mohanad Al‐Dabet	34 0.2×	192 0.9×	357 2.3×	125 0.8×	101 0.8×	15	738
Masahiko Kushiro	250 1.1×	88 0.4×	121 0.8×	22 0.1×	44 0.4×	13	675

Countries citing papers authored by Tomonori Uchimura

Since Specialization

Citations

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

Fields of papers citing papers by Tomonori Uchimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomonori Uchimura

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