Kazuhiko Date

14 total papers · 981 total citations
11 papers, 835 citations indexed

About

Kazuhiko Date is a scholar working on Hepatology, Surgery and Molecular Biology. According to data from OpenAlex, Kazuhiko Date has authored 11 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 7 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Kazuhiko Date's work include Liver physiology and pathology (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Fibroblast Growth Factor Research (3 papers). Kazuhiko Date is often cited by papers focused on Liver physiology and pathology (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Fibroblast Growth Factor Research (3 papers). Kazuhiko Date collaborates with scholars based in Japan and United States. Kazuhiko Date's co-authors include Kunio Matsumoto, Toshikazu Nakamura, Hideo Shimura, Masao Tanaka, Keiji Kuba, Yasuaki Aoki, Takashi Nakamura, Kazuhiro Mizumoto, Hong Li and Hong Li and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and FEBS Letters.

In The Last Decade

Kazuhiko Date

11 papers receiving 824 citations

Author Peers

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

Author						Papers	Cites
Kazuhiko Date	505	369	236	229	133	11	835
Tanya M. Fournier	559 1.1×	782 2.1×	158 0.7×	208 0.9×	69 0.5×	10	1.1k
Piera Maggiora	421 0.8×	457 1.2×	91 0.4×	308 1.3×	103 0.8×	16	892
Weng Chuan Peng	199 0.4×	601 1.6×	196 0.8×	279 1.2×	66 0.5×	13	957
Francesca De Bacco	190 0.4×	389 1.1×	50 0.2×	359 1.6×	216 1.6×	13	808
Kaoru Kita	191 0.4×	494 1.3×	124 0.5×	474 2.1×	191 1.4×	9	873
Paolo Luraghi	180 0.4×	389 1.1×	45 0.2×	380 1.7×	236 1.8×	17	815
Carmen Eckerich	187 0.4×	625 1.7×	42 0.2×	184 0.8×	158 1.2×	13	891
Christelle Guyot	119 0.2×	233 0.6×	180 0.8×	320 1.4×	85 0.6×	10	724
Ágnes Holczbauer	199 0.4×	352 1.0×	204 0.9×	219 1.0×	190 1.4×	18	723
Christine To	115 0.2×	389 1.1×	63 0.3×	321 1.4×	194 1.5×	11	706

Countries citing papers authored by Kazuhiko Date

Since Specialization

Citations

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

Fields of papers citing papers by Kazuhiko Date

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiko Date

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