Handong Su

56 total papers · 1.4k total citations
41 papers, 936 citations indexed

About

Handong Su is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Handong Su has authored 41 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 20 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Handong Su's work include Chromosomal and Genetic Variations (27 papers), Plant Disease Resistance and Genetics (14 papers) and Plant Virus Research Studies (14 papers). Handong Su is often cited by papers focused on Chromosomal and Genetic Variations (27 papers), Plant Disease Resistance and Genetics (14 papers) and Plant Virus Research Studies (14 papers). Handong Su collaborates with scholars based in China, United States and Germany. Handong Su's co-authors include Fangpu Han, Yalin Liu, James A. Birchler, Chao Feng, Yang Liu, Xianrui Guo, Qinghua Shi, Chang Liu, Jing Yuan and Jing Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Handong Su

40 papers receiving 928 citations

Author Peers

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

Author Last Decade Papers Cites
Handong Su 749 531 75 71 42 41 936
Lingyao Kong 711 0.9× 540 1.0× 61 0.8× 34 0.5× 60 1.4× 29 1.0k
Liu Duan 787 1.1× 482 0.9× 39 0.5× 55 0.8× 26 0.6× 29 1.0k
Laura Morello 508 0.7× 598 1.1× 73 1.0× 66 0.9× 22 0.5× 50 951
Paola Tononi 561 0.7× 388 0.7× 74 1.0× 39 0.5× 61 1.5× 27 795
Enrique Castaño 488 0.7× 844 1.6× 96 1.3× 120 1.7× 39 0.9× 65 1.2k
Xue Pan 578 0.8× 672 1.3× 32 0.4× 33 0.5× 76 1.8× 54 1.1k
Sheng Wang 449 0.6× 581 1.1× 64 0.9× 102 1.4× 60 1.4× 51 934
Adrian P. Brown 437 0.6× 556 1.0× 47 0.6× 37 0.5× 17 0.4× 38 865
Lina Cheng 552 0.7× 600 1.1× 102 1.4× 57 0.8× 98 2.3× 34 937
Sivakanthan Kasinathan 331 0.4× 817 1.5× 58 0.8× 115 1.6× 28 0.7× 35 991

Countries citing papers authored by Handong Su

Since Specialization
Citations

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

Fields of papers citing papers by Handong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Handong Su

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