Shih‐Ni Chang

48 total papers · 1.3k total citations
38 papers, 933 citations indexed

About

Shih‐Ni Chang is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shih‐Ni Chang has authored 38 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shih‐Ni Chang's work include Chronic Kidney Disease and Diabetes (5 papers), Diabetes Treatment and Management (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Shih‐Ni Chang is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Diabetes Treatment and Management (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Shih‐Ni Chang collaborates with scholars based in Taiwan, United States and China. Shih‐Ni Chang's co-authors include Fung‐Chang Sung, Chia‐Hung Kao, Cheng‐Li Lin, Ching‐Heng Lin, Zhi‐Yuan Shi, Chin‐Chi Kuo, Hsiu‐Yin Chiang, Ko‐Huang Lue, Jeng‐Dau Tsai and Chih-Hsin Mou and has published in prestigious journals such as PLoS ONE, Diabetes Care and Neurology.

In The Last Decade

Shih‐Ni Chang

37 papers receiving 909 citations

Author Peers

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

Author						Papers	Cites
Shih‐Ni Chang	178	165	145	137	109	38	933
Merel E. Hellemons	211 1.2×	121 0.7×	177 1.2×	148 1.1×	118 1.1×	52	1.1k
Frank Gray	151 0.8×	233 1.4×	156 1.1×	101 0.7×	89 0.8×	51	1.1k
Frieder Keller	134 0.8×	118 0.7×	202 1.4×	127 0.9×	76 0.7×	29	1.1k
Franz Maximilian Rasche	165 0.9×	127 0.8×	205 1.4×	170 1.2×	98 0.9×	36	1.2k
S Similä	198 1.1×	147 0.9×	218 1.5×	187 1.4×	95 0.9×	78	1.1k
Ahmed Elgebaly	148 0.8×	93 0.6×	138 1.0×	88 0.6×	96 0.9×	49	858
A Pruna	130 0.7×	204 1.2×	77 0.5×	145 1.1×	89 0.8×	42	949
D De Groote	318 1.8×	195 1.2×	158 1.1×	206 1.5×	80 0.7×	28	1.2k
Fu‐Huang Lin	105 0.6×	80 0.5×	161 1.1×	171 1.2×	114 1.0×	67	829
Refik Burgut	122 0.7×	99 0.6×	279 1.9×	110 0.8×	88 0.8×	52	891

Countries citing papers authored by Shih‐Ni Chang

Since Specialization

Citations

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

Fields of papers citing papers by Shih‐Ni Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih‐Ni Chang

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