Shinya Endo

58 total papers · 744 total citations
32 papers, 572 citations indexed

About

Shinya Endo is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Shinya Endo has authored 32 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Hematology and 6 papers in Oncology. Recurrent topics in Shinya Endo's work include Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Shinya Endo is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Shinya Endo collaborates with scholars based in Japan, United States and Egypt. Shinya Endo's co-authors include Yutaka Okuno, Masao Matsuoka, Yoshitaka Kikukawa, Tatsuki Fukami, Tsuyoshi Yokoi, Miki Nakajima, Hiroaki Mitsuya, Motohiro Takeya, Yasuyuki Toyoda and Hiroyuki Hata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Oncogene.

In The Last Decade

Shinya Endo

30 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
Shinya Endo	167	152	135	75	65	32	572
Daqiang Zhao	145 0.9×	93 0.6×	195 1.4×	15 0.2×	43 0.7×	30	587
Hiroki Akiyama	197 1.2×	107 0.7×	28 0.2×	60 0.8×	39 0.6×	53	540
Zhengxiao Li	132 0.8×	71 0.5×	139 1.0×	15 0.2×	21 0.3×	57	500
Jie Shen	136 0.8×	80 0.5×	164 1.2×	30 0.4×	42 0.6×	50	528
Eiichi Tsuji	159 1.0×	104 0.7×	38 0.3×	24 0.3×	36 0.6×	36	595
Ying Yuan	270 1.6×	34 0.2×	96 0.7×	30 0.4×	26 0.4×	34	526
Xiaoran Wu	192 1.1×	165 1.1×	134 1.0×	81 1.1×	79 1.2×	48	669
Kayo Inoue	267 1.6×	170 1.1×	33 0.2×	7 0.1×	78 1.2×	54	661
Mauricio Ramírez	181 1.1×	40 0.3×	99 0.7×	12 0.2×	41 0.6×	19	538
Haiqing Zhong	160 1.0×	190 1.3×	160 1.2×	37 0.5×	35 0.5×	33	640

Countries citing papers authored by Shinya Endo

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Endo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Endo

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