Shih‐Shun Lin

126 total papers · 7.9k total citations
80 papers, 4.9k citations indexed

About

Shih‐Shun Lin is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Shih‐Shun Lin has authored 80 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 25 papers in Molecular Biology and 14 papers in Endocrinology. Recurrent topics in Shih‐Shun Lin's work include Plant Virus Research Studies (36 papers), Plant Molecular Biology Research (20 papers) and Plant-Microbe Interactions and Immunity (13 papers). Shih‐Shun Lin is often cited by papers focused on Plant Virus Research Studies (36 papers), Plant Molecular Biology Research (20 papers) and Plant-Microbe Interactions and Immunity (13 papers). Shih‐Shun Lin collaborates with scholars based in Taiwan, United States and Australia. Shih‐Shun Lin's co-authors include Nam‐Hai Chua, Xiuren Zhang, Qi‐Wen Niu, Rossana Henriques, Shyi‐Dong Yeh, Hui‐Wen Wu, Kuan‐Chun Chen, Thomas Tuschl, Dinshaw J. Patel and Yi Pei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Nature Biotechnology.

In The Last Decade

Shih‐Shun Lin

76 papers receiving 4.8k citations

Hit Papers

Agrobacterium-mediated tr... 2006 2026 2012 2019 2006 2006 2015 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Shih‐Shun Lin 3.5k 2.3k 766 700 480 80 4.9k
Aiming Wang 5.1k 1.4× 1.8k 0.8× 1.4k 1.8× 479 0.7× 839 1.7× 173 6.5k
Javier Terol 3.1k 0.9× 3.0k 1.3× 164 0.2× 341 0.5× 475 1.0× 49 5.8k
Hui Cao 4.4k 1.2× 2.1k 0.9× 161 0.2× 240 0.3× 364 0.8× 66 5.7k
Hui Guo 4.2k 1.2× 4.0k 1.7× 153 0.2× 423 0.6× 277 0.6× 79 6.9k
Li Li 2.2k 0.6× 4.2k 1.8× 245 0.3× 294 0.4× 408 0.8× 65 6.3k
Iwao Furusawa 2.2k 0.6× 1.4k 0.6× 248 0.3× 1.3k 1.9× 238 0.5× 117 4.3k
E. Tapio Palva 4.9k 1.4× 3.6k 1.6× 488 0.6× 249 0.4× 271 0.6× 110 7.1k
Pieter van West 4.0k 1.1× 1.5k 0.6× 138 0.2× 768 1.1× 140 0.3× 119 5.8k
Martin B. Dickman 7.2k 2.0× 3.7k 1.6× 182 0.2× 253 0.4× 382 0.8× 116 9.2k
Brett M. Tyler 8.0k 2.3× 3.2k 1.4× 286 0.4× 279 0.4× 365 0.8× 164 10.0k

Countries citing papers authored by Shih‐Shun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Shun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih‐Shun Lin

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