Yunyun Su

52 total papers · 1.6k total citations
36 papers, 1.3k citations indexed

About

Yunyun Su is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Yunyun Su has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Plant Science and 6 papers in Oncology. Recurrent topics in Yunyun Su's work include Systemic Sclerosis and Related Diseases (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Plant Stress Responses and Tolerance (3 papers). Yunyun Su is often cited by papers focused on Systemic Sclerosis and Related Diseases (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Plant Stress Responses and Tolerance (3 papers). Yunyun Su collaborates with scholars based in China, United States and Canada. Yunyun Su's co-authors include Elieser Gorelik, Anna Lokshin, Naheeda Begum, Lixin Zhang, Vera Levina, Yafang Lei, N. S. Mustafa, Parvaiz Ahmad, Edwin K. Jackson and Masayuki Kojima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Yunyun Su

31 papers receiving 1.3k citations

Hit Papers

Improved Drought Toleranc... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Yunyun Su 503 318 283 226 149 36 1.3k
Herbert Schramek 879 1.7× 151 0.5× 223 0.8× 218 1.0× 135 0.9× 51 1.7k
D Ortiz‐Masiá 773 1.5× 357 1.1× 122 0.4× 374 1.7× 93 0.6× 44 1.6k
Takeshi Fukumoto 916 1.8× 195 0.6× 328 1.2× 262 1.2× 72 0.5× 75 1.6k
Nadia A. Lanman 574 1.1× 238 0.7× 308 1.1× 264 1.2× 220 1.5× 61 1.3k
Robert S. Siegel 856 1.7× 625 2.0× 213 0.8× 90 0.4× 146 1.0× 49 1.8k
Barbara Breznik 479 1.0× 123 0.4× 353 1.2× 262 1.2× 152 1.0× 45 1.3k
Scott H. Wettlaufer 546 1.1× 420 1.3× 110 0.4× 114 0.5× 506 3.4× 28 1.5k
Ayako Kimura 948 1.9× 167 0.5× 201 0.7× 95 0.4× 61 0.4× 63 1.6k
Cheng Zhang 587 1.2× 172 0.5× 562 2.0× 262 1.2× 140 0.9× 57 1.5k
Beibei Sun 596 1.2× 135 0.4× 326 1.2× 171 0.8× 317 2.1× 55 1.4k

Countries citing papers authored by Yunyun Su

Since Specialization
Citations

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

Fields of papers citing papers by Yunyun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yunyun Su. A scholar is included among the top collaborators of Yunyun Su 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 Yunyun Su. Yunyun Su 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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