Xing Su

1.9k total citations · 2 hit papers
9 papers, 1.5k citations indexed

About

Xing Su is a scholar working on Molecular Biology, Biomaterials and Condensed Matter Physics. According to data from OpenAlex, Xing Su has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biomaterials and 1 paper in Condensed Matter Physics. Recurrent topics in Xing Su's work include Chemical Synthesis and Analysis (2 papers), Supramolecular Self-Assembly in Materials (2 papers) and RNA and protein synthesis mechanisms (2 papers). Xing Su is often cited by papers focused on Chemical Synthesis and Analysis (2 papers), Supramolecular Self-Assembly in Materials (2 papers) and RNA and protein synthesis mechanisms (2 papers). Xing Su collaborates with scholars based in United States, China and Hong Kong. Xing Su's co-authors include Todd C. Holmes, Shuguang Zhang, Alexander Rich, Guosong Liu, Sonsoles De Lacalle, Richard O. Hynes, C. Michael DiPersio, Lawrence Bogorad, Sherry Bursztajn and Stephen Berman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Xing Su

7 papers receiving 1.5k citations

Hit Papers

Extensive neurite outgrowth and active synapse formation ... 1995 2026 2005 2015 2000 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Su United States 5 1.2k 782 383 257 154 9 1.5k
Akihiro Horii Japan 8 724 0.6× 516 0.7× 208 0.5× 234 0.9× 89 0.6× 13 1.1k
Hidenori Yokoi Japan 10 739 0.6× 515 0.7× 310 0.8× 141 0.5× 52 0.3× 18 990
Sergey E. Paramonov United States 11 1.3k 1.2× 831 1.1× 666 1.7× 209 0.8× 33 0.2× 11 1.7k
Lesley W. Chow United States 22 720 0.6× 402 0.5× 152 0.4× 458 1.8× 52 0.3× 38 1.4k
Charles M. Rubert Pérez United States 12 572 0.5× 389 0.5× 198 0.5× 181 0.7× 36 0.2× 14 857
Sungsoo S. Lee United States 11 581 0.5× 400 0.5× 234 0.6× 314 1.2× 25 0.2× 12 996
Ramille M. Capito United States 9 561 0.5× 288 0.4× 254 0.7× 214 0.8× 25 0.2× 9 971
Han‐Hwa Hung United States 14 690 0.6× 455 0.6× 174 0.5× 293 1.1× 37 0.2× 18 1.5k
Stacey M. Chin United States 10 489 0.4× 246 0.3× 278 0.7× 244 0.9× 124 0.8× 16 918
Marci K. Kang United States 5 584 0.5× 339 0.4× 169 0.4× 185 0.7× 26 0.2× 6 806

Countries citing papers authored by Xing Su

Since Specialization
Citations

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

Fields of papers citing papers by Xing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Su. A scholar is included among the top collaborators of Xing 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 Xing Su. Xing Su 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.
2.
Deng, Ji‐Hua, Xing Su, Donghui Liu, Jùn Zhou, & Xingyi Zhang. (2025). Investigation of current and temperature distribution during quench in YBCO CC: direct observation and numerical simulation. Superconductor Science and Technology. 38(5). 55026–55026.
3.
Huang, Lingzhi, et al.. (2008). [CD147 increases invasiveness of U937 cells through regulation of matrix metalloproteinase activity].. PubMed. 16(2). 247–53. 2 indexed citations
4.
Holmes, Todd C., Sonsoles De Lacalle, Xing Su, et al.. (2000). Extensive neurite outgrowth and active synapse formation on self-assembling peptide scaffolds. Proceedings of the National Academy of Sciences. 97(12). 6728–6733. 907 indexed citations breakdown →
5.
Su, Xing, et al.. (1996). A Cost Effective Base-Matching Assay with Low Backgrounds. Nucleic Acids Research. 24(22). 4596–4597. 1 indexed citations
6.
Zhang, Shuguang, Todd C. Holmes, C. Michael DiPersio, et al.. (1995). Self-complementary oligopeptide matrices support mammalian cell attachment. Biomaterials. 16(18). 1385–1393. 540 indexed citations breakdown →
7.
Su, Xing, et al.. (1995). Myoblast and myotude nuclei display similar patterns of heterogneous acetylcholine receptor subunit mRNA expression. Journal of Cellular Biochemistry. 58(1). 22–38. 7 indexed citations
8.
Su, Xing, et al.. (1994). Optimized chemiluminescent detection of DNA amplified in the exponential phase of PCR.. PubMed. 17(4). 734–6. 4 indexed citations
9.
Su, Xing & Lawrence Bogorad. (1991). A residue substitution in phosphoribulokinase of Synechocystis PCC 6803 renders the mutant light-sensitive.. Journal of Biological Chemistry. 266(35). 23698–23705. 17 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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