Seiya Liu

21 total papers · 437 total citations
13 papers, 319 citations indexed

About

Seiya Liu is a scholar working on Oncology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Seiya Liu has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Physiology. Recurrent topics in Seiya Liu's work include Pain Mechanisms and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Seiya Liu is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Seiya Liu collaborates with scholars based in United States, Japan and United Kingdom. Seiya Liu's co-authors include L Brewer, Jaana Kajander, Erlinda M. Gordon, Sant P. Chawla, Frederick L. Hall, David A. Lubarsky, Hirotsugu Kanda, Toshihiro Iida, Han Yi and Roy C. Levitt and has published in prestigious journals such as Journal of Clinical Oncology, Pain and Gene Therapy.

In The Last Decade

Seiya Liu

12 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
Seiya Liu	142	122	77	63	55	13	319
Stephen J. DiMartino	75 0.5×	83 0.7×	31 0.4×	80 1.3×	31 0.6×	17	342
Maria Melanson	104 0.7×	94 0.8×	40 0.5×	57 0.9×	34 0.6×	15	293
Satoshi Tateda	46 0.3×	123 1.0×	97 1.3×	65 1.0×	11 0.2×	11	346
Chensheng Qiu	84 0.6×	91 0.7×	32 0.4×	167 2.7×	16 0.3×	16	323
Martha Zeeman	86 0.6×	39 0.3×	15 0.2×	109 1.7×	35 0.6×	14	328
Stefanie Lemmens	40 0.3×	87 0.7×	59 0.8×	77 1.2×	19 0.3×	18	304
Abhijeet Joshi	74 0.5×	24 0.2×	115 1.5×	104 1.7×	64 1.2×	19	355
Isabelle Paré	108 0.8×	19 0.2×	39 0.5×	90 1.4×	31 0.6×	17	356
Constantinos Sfagos	43 0.3×	111 0.9×	36 0.5×	60 1.0×	16 0.3×	17	308
Giuseppe Ribizzi	75 0.5×	82 0.7×	25 0.3×	78 1.2×	16 0.3×	10	275

Countries citing papers authored by Seiya Liu

Since Specialization

Citations

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

Fields of papers citing papers by Seiya Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiya Liu

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