Tsomin Yang

537 total citations
9 papers, 352 citations indexed

About

Tsomin Yang is a scholar working on Plant Science, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Tsomin Yang has authored 9 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Tsomin Yang's work include Wheat and Barley Genetics and Pathology (9 papers), Plant Disease Resistance and Genetics (9 papers) and Plant Pathogens and Resistance (5 papers). Tsomin Yang is often cited by papers focused on Wheat and Barley Genetics and Pathology (9 papers), Plant Disease Resistance and Genetics (9 papers) and Plant Pathogens and Resistance (5 papers). Tsomin Yang collaborates with scholars based in China, Indonesia and Israel. Tsomin Yang's co-authors include Qixin Sun, Chaojie Xie, Zhiyong Liu, Zhongfu Ni, Eviatar Nevo, Tzion Fahima, Jie Zhu, Wei Song, Xiaoling Ji and Hongjie Li and has published in prestigious journals such as Theoretical and Applied Genetics, Euphytica and Molecular Breeding.

In The Last Decade

Tsomin Yang

9 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsomin Yang China 9 344 50 26 19 4 9 352
Bisheng Fu China 11 332 1.0× 40 0.8× 28 1.1× 20 1.1× 2 0.5× 21 346
V. Rosas Mexico 6 304 0.9× 72 1.4× 39 1.5× 47 2.5× 2 0.5× 14 319
A. R. LeRoy United States 7 312 0.9× 36 0.7× 12 0.5× 23 1.2× 8 317
Deepender Kumar India 5 169 0.5× 94 1.9× 29 1.1× 22 1.2× 5 186
Andrea C. Fernandez United States 8 294 0.9× 30 0.6× 28 1.1× 29 1.5× 1 0.3× 9 314
Yongchao Hao China 7 173 0.5× 58 1.2× 38 1.5× 31 1.6× 12 193
Wenping Gong China 8 183 0.5× 21 0.4× 26 1.0× 11 0.6× 14 190
Lifang Zhuang China 14 473 1.4× 72 1.4× 75 2.9× 17 0.9× 25 485
Zhenglong Ren China 9 312 0.9× 50 1.0× 59 2.3× 19 1.0× 13 318
Ehsan Shakiba United States 9 228 0.7× 91 1.8× 34 1.3× 6 0.3× 21 246

Countries citing papers authored by Tsomin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tsomin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsomin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsomin Yang. A scholar is included among the top collaborators of Tsomin Yang 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 Tsomin Yang. Tsomin Yang 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.
Song, Na, Jıng Zhang, Yinghui Li, et al.. (2014). Molecular mapping of a recessive powdery mildew resistance gene in spelt wheat cultivar Hubel. Molecular Breeding. 34(2). 491–500. 16 indexed citations
2.
Liu, Ziji, Jie Zhu, Yu Cui, et al.. (2011). Identification and comparative mapping of a powdery mildew resistance gene derived from wild emmer (Triticum turgidum var. dicoccoides) on chromosome 2BS. Theoretical and Applied Genetics. 124(6). 1041–1049. 40 indexed citations
3.
Zhang, Hongtao, Haiying Guan, Jie Zhu, et al.. (2010). Genetic and comparative genomics mapping reveals that a powdery mildew resistance gene Ml3D232 originating from wild emmer co-segregates with an NBS-LRR analog in common wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 121(8). 1613–1621. 53 indexed citations
4.
Wang, Yanjie, Huiru Peng, Gang Liu, et al.. (2010). Identification and molecular mapping of a leaf rust resistance gene in spelt wheat landrace Altgold. Euphytica. 174(3). 371–375. 12 indexed citations
5.
Li, Genqiao, Tilin Fang, Hongtao Zhang, et al.. (2009). Molecular identification of a new powdery mildew resistance gene Pm41 on chromosome 3BL derived from wild emmer (Triticum turgidum var. dicoccoides). Theoretical and Applied Genetics. 119(3). 531–539. 72 indexed citations
6.
Song, Wei, Chaojie Xie, Jinkun Du, et al.. (2008). A “one-marker-for-two-genes” approach for efficient molecular discrimination of Pm12 and Pm21 conferring resistance to powdery mildew in wheat. Molecular Breeding. 23(3). 357–363. 28 indexed citations
7.
Ji, Xiaoling, Chaojie Xie, Zhongfu Ni, et al.. (2007). Identification and genetic mapping of a powdery mildew resistance gene in wild emmer (Triticum dicoccoides) accession IW72 from Israel. Euphytica. 159(3). 385–390. 61 indexed citations
8.
Song, Wei, Qing Liu, Chaojie Xie, et al.. (2007). Molecular identification of Pm12-carrying introgression lines in wheat using genomic and EST-SSR markers. Euphytica. 158(1-2). 95–102. 13 indexed citations
9.
Xie, Chaojie, Qixin Sun, Zhongfu Ni, et al.. (2003). Chromosomal location of a Triticum dicoccoides-derived powdery mildew resistance gene in common wheat by using microsatellite markers. Theoretical and Applied Genetics. 106(2). 341–345. 57 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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