Ya‐Hsueh Shih

36 total papers · 1.3k total citations
29 papers, 977 citations indexed

About

Ya‐Hsueh Shih is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ya‐Hsueh Shih has authored 29 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Ya‐Hsueh Shih's work include Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Ya‐Hsueh Shih is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Ya‐Hsueh Shih collaborates with scholars based in Taiwan, United States and Japan. Ya‐Hsueh Shih's co-authors include Yung‐Chien Hsu, Chun‐Liang Lin, Chun‐Wu Tung, Pey‐Jium Chang, Pei‐Yu Hung, Long Lin, Chuhsing Kate Hsiao, Chun‐Liang Lin, Cheng Ho and Chen‐Chou Lei and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ya‐Hsueh Shih

29 papers receiving 962 citations

Author Peers

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

Author						Papers	Cites
Ya‐Hsueh Shih	321	300	260	258	241	29	977
Takanobu Nagata	217 0.7×	233 0.8×	87 0.3×	141 0.5×	177 0.7×	35	951
Paola Catanuto	45 0.1×	376 1.3×	215 0.8×	85 0.3×	211 0.9×	32	1.1k
Katsuhiko Takenaka	134 0.4×	264 0.9×	55 0.2×	53 0.2×	171 0.7×	28	1.0k
Ching-Chu Chen	256 0.8×	327 1.1×	74 0.3×	53 0.2×	100 0.4×	29	1.1k
Yuko Jinnouchi	127 0.4×	287 1.0×	57 0.2×	52 0.2×	234 1.0×	17	987
Michael Morcos	243 0.8×	239 0.8×	81 0.3×	35 0.1×	43 0.2×	43	996
Luca D’Onofrio	122 0.4×	292 1.0×	92 0.4×	48 0.2×	38 0.2×	52	1.1k
Ornella Carbonara	102 0.3×	322 1.1×	118 0.5×	65 0.3×	27 0.1×	22	999
Ö Aagenaes	73 0.2×	122 0.4×	67 0.3×	120 0.5×	173 0.7×	28	1.1k
Jie Wen	235 0.7×	242 0.8×	146 0.6×	22 0.1×	32 0.1×	37	834

Countries citing papers authored by Ya‐Hsueh Shih

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Hsueh Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Hsueh Shih. 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 Ya‐Hsueh Shih. The network helps show where Ya‐Hsueh Shih may publish in the future.

Co-authorship network of co-authors of Ya‐Hsueh Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Hsueh Shih. A scholar is included among the top collaborators of Ya‐Hsueh Shih 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 Ya‐Hsueh Shih. Ya‐Hsueh Shih 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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