T.‐Y. Chiang

620 total citations
9 papers, 537 citations indexed

About

T.‐Y. Chiang is a scholar working on Genetics, Nature and Landscape Conservation and Aquatic Science. According to data from OpenAlex, T.‐Y. Chiang has authored 9 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Nature and Landscape Conservation and 3 papers in Aquatic Science. Recurrent topics in T.‐Y. Chiang's work include Genetic diversity and population structure (6 papers), Fish Ecology and Management Studies (3 papers) and Fish Biology and Ecology Studies (3 papers). T.‐Y. Chiang is often cited by papers focused on Genetic diversity and population structure (6 papers), Fish Ecology and Management Studies (3 papers) and Fish Biology and Ecology Studies (3 papers). T.‐Y. Chiang collaborates with scholars based in Taiwan, China and United States. T.‐Y. Chiang's co-authors include Q Zhang, Jianquan Liu, M. L. C. George, Richard J. Abbott, Barbara A. Schaal, Hung‐Du Lin, Kui‐Ching Hsu, Yu‐Chung Chiang, Mengna Liu and Xue‐Jun Ge and has published in prestigious journals such as Molecular Ecology, Journal of Fish Biology and BMC Evolutionary Biology.

In The Last Decade

T.‐Y. Chiang

9 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.‐Y. Chiang Taiwan 8 325 222 194 153 109 9 537
S. Caetano Switzerland 8 308 0.9× 217 1.0× 112 0.6× 62 0.4× 111 1.0× 10 498
Manolo F. Perez Brazil 13 316 1.0× 119 0.5× 209 1.1× 122 0.8× 114 1.0× 30 518
Andrew J. Helmstetter France 12 138 0.4× 185 0.8× 214 1.1× 112 0.7× 115 1.1× 22 498
Dong Luo China 12 135 0.4× 162 0.7× 189 1.0× 102 0.7× 104 1.0× 36 408
Vikram E. Chhatre United States 11 283 0.9× 108 0.5× 97 0.5× 106 0.7× 108 1.0× 18 483
Shun K. Hirota Japan 10 117 0.4× 119 0.5× 211 1.1× 151 1.0× 64 0.6× 53 387
Shichao Chen China 11 236 0.7× 270 1.2× 222 1.1× 176 1.2× 48 0.4× 20 540
Graham Muir United Kingdom 9 316 1.0× 252 1.1× 210 1.1× 218 1.4× 91 0.8× 9 569
Zaida Lorenzo Spain 10 252 0.8× 138 0.6× 163 0.8× 173 1.1× 163 1.5× 14 520
David G. Roberts Australia 12 167 0.5× 54 0.2× 249 1.3× 134 0.9× 228 2.1× 26 459

Countries citing papers authored by T.‐Y. Chiang

Since Specialization
Citations

This map shows the geographic impact of T.‐Y. Chiang'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 T.‐Y. Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.‐Y. Chiang more than expected).

Fields of papers citing papers by T.‐Y. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.‐Y. Chiang. 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 T.‐Y. Chiang. The network helps show where T.‐Y. Chiang may publish in the future.

Co-authorship network of co-authors of T.‐Y. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of T.‐Y. Chiang. A scholar is included among the top collaborators of T.‐Y. Chiang 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 T.‐Y. Chiang. T.‐Y. Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chen, Solomon Chih‐Cheng, Jung‐Der Wang, Joseph Kwong‐Leung Yu, et al.. (2011). Applying the Global Positioning System and Google Earth to Evaluate the Accessibility of Birth Services for Pregnant Women in Northern Malawi. Journal of Midwifery & Women s Health. 56(1). 68–74. 13 indexed citations
2.
Chiang, T.‐Y., et al.. (2010). Multiple factors have shaped the phylogeography of Chinese spiny loach Cobitis sinensis in Taiwan as inferred from mitochondrial DNA variation. Journal of Fish Biology. 76(5). 1173–1189. 38 indexed citations
3.
Huang, Shong, et al.. (2009). Paraphyly of organelle DNAs in Cycas Sect. Asiorientales due to ancient ancestral polymorphisms. BMC Evolutionary Biology. 9(1). 161–161. 52 indexed citations
4.
Lin, Hung‐Du, et al.. (2008). Population structure and phylogeography of Aphyocypris kikuchii (Oshima) based on mitochondrial DNA variation. Journal of Fish Biology. 72(8). 2011–2025. 24 indexed citations
5.
Tseng, Mei‐Chen, T.‐Y. Chiang, & Jian‐Ping Wang. (2008). Characterization and genetic variations of satellite DNAs inAcrossocheilus paradoxus(Günther, 1868) (Cyprinidae) indicate population expansion. Journal of Fish Biology. 72(5). 1138–1153. 1 indexed citations
6.
Chen, Xiaoling, et al.. (2007). Mitochondrial DNA phylogeography ofGlyptothorax fokiensisandGlyptothorax hainanensisin Asia. Journal of Fish Biology. 70(sa). 75–93. 39 indexed citations
7.
Chiang, Yu‐Chung, et al.. (2006). Contrasting phylogeographical patterns between mainland and island taxa of the Pinus luchuensis complex. Molecular Ecology. 15(3). 765–779. 83 indexed citations
8.
Zhang, Q, T.‐Y. Chiang, M. L. C. George, Jianquan Liu, & Richard J. Abbott. (2005). Phylogeography of the Qinghai‐Tibetan Plateau endemic Juniperus przewalskii (Cupressaceae) inferred from chloroplast DNA sequence variation. Molecular Ecology. 14(11). 3513–3524. 237 indexed citations
9.
Ge, Xue‐Jun, et al.. (2005). Population structure of wild bananas, Musa balbisiana, in China determined by SSR fingerprinting and cpDNA PCR‐RFLP. Molecular Ecology. 14(4). 933–944. 50 indexed citations

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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