Chun Su

1.5k total citations
41 papers, 725 citations indexed

About

Chun Su is a scholar working on Molecular Biology, Pharmacology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chun Su has authored 41 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Pharmacology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chun Su's work include Genomics and Phylogenetic Studies (12 papers), Microbial Natural Products and Biosynthesis (11 papers) and Plant and Fungal Species Descriptions (7 papers). Chun Su is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Microbial Natural Products and Biosynthesis (11 papers) and Plant and Fungal Species Descriptions (7 papers). Chun Su collaborates with scholars based in United States, China and South Korea. Chun Su's co-authors include Struan F.A. Grant, Andrew D. Wells, James A. Pippin, Alessandra Chesi, Matthew E. Johnson, Sumei Lu, Michelle E. Leonard, Jun Wen, Kenyaita M. Hodge and Lei Duan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chun Su

40 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Su United States 15 418 208 135 127 90 41 725
Emily Schultz United States 5 349 0.8× 165 0.8× 80 0.6× 36 0.3× 32 0.4× 10 657
Tian Tang China 13 319 0.8× 267 1.3× 232 1.7× 32 0.3× 23 0.3× 29 741
Wanseon Lee United Kingdom 14 257 0.6× 187 0.9× 60 0.4× 21 0.2× 87 1.0× 20 647
Jae‐Kyoung Shim South Korea 17 243 0.6× 334 1.6× 77 0.6× 55 0.4× 24 0.3× 43 677
Yanping Xing China 11 277 0.7× 263 1.3× 83 0.6× 45 0.4× 17 0.2× 49 485
Marsha M. Wheeler United States 17 330 0.8× 99 0.5× 575 4.3× 327 2.6× 24 0.3× 26 1.1k
Shozo Takahashi Japan 18 141 0.3× 166 0.8× 243 1.8× 305 2.4× 57 0.6× 79 877
Lifen Xie China 14 703 1.7× 590 2.8× 47 0.3× 97 0.8× 18 0.2× 23 1.0k

Countries citing papers authored by Chun Su

Since Specialization
Citations

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

Fields of papers citing papers by Chun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Su. A scholar is included among the top collaborators of Chun 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 Chun Su. Chun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Pahl, Matthew C., Prabhat Sharma, Rajan M. Thomas, et al.. (2024). Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation. eLife. 13. 1 indexed citations
3.
Liu, Jing, Ze‐Long Nie, Chen Ren, Chun Su, & Jun Wen. (2023). Phylogenomics of Aralia sect. Aralia (Araliaceae): Signals of hybridization and insights into its species delimitations and intercontinental biogeography. Molecular Phylogenetics and Evolution. 181. 107727–107727. 11 indexed citations
4.
Pividori, Milton, Sumei Lu, Binglan Li, et al.. (2023). Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14(1). 5562–5562. 9 indexed citations
5.
Modi, Apexa, Gonzalo López, Karina L. Conkrite, et al.. (2023). Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors. Cancer Research. 83(20). 3462–3477. 4 indexed citations
6.
Su, Chun, Long Gao, Catherine Lee May, et al.. (2022). 3D chromatin maps of the human pancreas reveal lineage-specific regulatory architecture of T2D risk. Cell Metabolism. 34(9). 1394–1409.e4. 34 indexed citations
7.
Pahl, Matthew C., Carole Le Coz, Chun Su, et al.. (2022). Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types. Genome biology. 23(1). 125–125. 20 indexed citations
8.
Su, Chun, Sumei Lu, James A. Pippin, et al.. (2021). 3D promoter architecture re-organization during iPSC-derived neuronal cell differentiation implicates target genes for neurodevelopmental disorders. Progress in Neurobiology. 201. 102000–102000. 15 indexed citations
9.
Hammond, Reza, Matthew C. Pahl, Chun Su, et al.. (2021). Biological constraints on GWAS SNPs at suggestive significance thresholds reveal additional BMI loci. eLife. 10. 32 indexed citations
10.
Pippin, James A., Alessandra Chesi, Yadav Wagley, et al.. (2021). CRISPR‐Cas9 –Mediated Genome Editing Confirms EPDR1 as an Effector Gene at the BMD GWAS ‐Implicated ‘ STARD3NL ’ Locus. JBMR Plus. 5(9). e10531–e10531. 10 indexed citations
11.
Zhang, Ling, Wang Shu, Chun Su, et al.. (2021). Comparative Chloroplast Genomics and Phylogenetic Analysis of Zygophyllum (Zygophyllaceae) of China. Frontiers in Plant Science. 12. 723622–723622. 13 indexed citations
12.
Duan, Lei, AJ Harris, Chun Su, et al.. (2020). Chloroplast Phylogenomics Reveals the Intercontinental Biogeographic History of the Liquorice Genus (Leguminosae: Glycyrrhiza). Frontiers in Plant Science. 11. 793–793. 27 indexed citations
13.
Pahl, Matthew C., Diana L. Cousminer, Claudia A. Doege, et al.. (2020). Variant-to-Gene-Mapping Analyses Reveal a Role for the Hypothalamus in Genetic Susceptibility to Inflammatory Bowel Disease. Cellular and Molecular Gastroenterology and Hepatology. 11(3). 667–682. 13 indexed citations
14.
Chesi, Alessandra, Yadav Wagley, Matthew E. Johnson, et al.. (2019). Genome-scale Capture C promoter interactions implicate effector genes at GWAS loci for bone mineral density. Nature Communications. 10(1). 1260–1260. 79 indexed citations
15.
16.
Chen, Chao, et al.. (2018). Genome Mining of the Marine Actinomycete Streptomyces sp. DUT11 and Discovery of Tunicamycins as Anti-complement Agents. Frontiers in Microbiology. 9. 1318–1318. 19 indexed citations
17.
Su, Chun, Xiaozeng Yang, Shiqing Gao, et al.. (2014). Identification and characterization of a subset of microRNAs in wheat ( Triticum aestivum L.). Genomics. 103(4). 298–307. 20 indexed citations
18.
Su, Chun, Xin‐Qing Zhao, Rongguo Qiu, & Li Tang. (2014). Construction of the co-expression plasmids of fostriecin polyketide synthases and heterologous expression inStreptomyces. Pharmaceutical Biology. 53(2). 269–274. 8 indexed citations
19.
Liu, Xuejiao, et al.. (2013). Elucidation of the Biosynthetic Gene Cluster and the Post-PKS Modification Mechanism for Fostriecin in Streptomyces pulveraceus. Chemistry & Biology. 20(1). 45–54. 25 indexed citations
20.
Su, Chun. (2006). The genetic relationships of isolates of Ganoderma inferred from partial β-tubulin gene sequences. Mycosystema. 2 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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