Hsin‐Chin Shih

45 total papers · 742 total citations
37 papers, 492 citations indexed

About

Hsin‐Chin Shih is a scholar working on Surgery, Emergency Medicine and Immunology. According to data from OpenAlex, Hsin‐Chin Shih has authored 37 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 13 papers in Emergency Medicine and 6 papers in Immunology. Recurrent topics in Hsin‐Chin Shih's work include Abdominal Trauma and Injuries (9 papers), Trauma and Emergency Care Studies (6 papers) and Trauma Management and Diagnosis (5 papers). Hsin‐Chin Shih is often cited by papers focused on Abdominal Trauma and Injuries (9 papers), Trauma and Emergency Care Studies (6 papers) and Trauma Management and Diagnosis (5 papers). Hsin‐Chin Shih collaborates with scholars based in Taiwan, South Sudan and United Kingdom. Hsin‐Chin Shih's co-authors include Chen‐Hsen Lee, Mu‐Shun Huang, Sheng‐Chuan Hu, Chih-Chieh Yang, Cheng‐Hsi Su, Yu‐Chih Chen, Yau‐Huei Wei, Shih‐Hwa Chiou, Yuh‐Lih Chang and Han‐Shui Hsu and has published in prestigious journals such as Cancer, Intensive Care Medicine and Journal of the American College of Surgeons.

In The Last Decade

Hsin‐Chin Shih

36 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
Hsin‐Chin Shih	182	153	74	65	60	37	492
Khaled F. Salhab	119 0.7×	47 0.3×	92 1.2×	82 1.3×	80 1.3×	24	461
Birte Weber	195 1.1×	147 1.0×	120 1.6×	49 0.8×	71 1.2×	51	501
Mengyuan Diao	79 0.4×	68 0.4×	121 1.6×	60 0.9×	32 0.5×	39	482
Vera Brod	104 0.6×	66 0.4×	97 1.3×	160 2.5×	29 0.5×	29	472
Deborah Novelli	95 0.5×	111 0.7×	112 1.5×	42 0.6×	107 1.8×	30	485
Jordi Sans‐Roselló	177 1.0×	132 0.9×	137 1.9×	41 0.6×	323 5.4×	37	546
Francis J. Caputo	169 0.9×	34 0.2×	102 1.4×	122 1.9×	40 0.7×	42	549
Pierangela Presta	108 0.6×	72 0.5×	71 1.0×	53 0.8×	117 1.9×	40	440
Avio Maria Perna	167 0.9×	48 0.3×	108 1.5×	94 1.4×	206 3.4×	18	480
Per Ederoth	81 0.4×	69 0.5×	40 0.5×	47 0.7×	81 1.4×	30	510

Countries citing papers authored by Hsin‐Chin Shih

Since Specialization

Citations

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

Fields of papers citing papers by Hsin‐Chin Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsin‐Chin Shih

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