Shoko Goto

27 total papers · 635 total citations
13 papers, 458 citations indexed

About

Shoko Goto is a scholar working on Molecular Biology, Hematology and Infectious Diseases. According to data from OpenAlex, Shoko Goto has authored 13 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Infectious Diseases. Recurrent topics in Shoko Goto's work include Neuroblastoma Research and Treatments (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Parvovirus B19 Infection Studies (2 papers). Shoko Goto is often cited by papers focused on Neuroblastoma Research and Treatments (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Parvovirus B19 Infection Studies (2 papers). Shoko Goto collaborates with scholars based in Japan and United States. Shoko Goto's co-authors include Hiroyuki Shimada, Katherine K. Matthay, John N. Lukens, Robert B. Gerbing, Daniel O. Stram, Yasumasa Monobe, Yoichi Hachitanda, Atsuko Nakagawa, Garrett M. Brodeur and Robert C. Seeger and has published in prestigious journals such as Cancer, Analytical Biochemistry and Plastic & Reconstructive Surgery.

In The Last Decade

Shoko Goto

12 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
Shoko Goto	282	145	93	92	50	13	458
T. Holbrook	252 0.9×	185 1.3×	87 0.9×	108 1.2×	137 2.7×	13	552
Andreu Parareda	152 0.5×	125 0.9×	62 0.7×	76 0.8×	112 2.2×	18	433
Pejaver V. Rao	312 1.1×	168 1.2×	206 2.2×	87 0.9×	35 0.7×	7	467
A. D. J. Pearson	273 1.0×	222 1.5×	46 0.5×	104 1.1×	114 2.3×	17	506
Valeria Smith	388 1.4×	249 1.7×	40 0.4×	153 1.7×	116 2.3×	18	526
Yacov Goshen	119 0.4×	162 1.1×	41 0.4×	65 0.7×	88 1.8×	18	443
Paige K. Bradley	171 0.6×	187 1.3×	95 1.0×	36 0.4×	55 1.1×	8	510
W. B. London	421 1.5×	232 1.6×	55 0.6×	232 2.5×	120 2.4×	17	490
Lars Bøgeskov	136 0.5×	41 0.3×	105 1.1×	62 0.7×	42 0.8×	16	412
C. F. Fung	138 0.5×	89 0.6×	95 1.0×	44 0.5×	50 1.0×	20	468

Countries citing papers authored by Shoko Goto

Since Specialization

Citations

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

Fields of papers citing papers by Shoko Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Goto

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