Su Wen Qian

1.7k total citations
19 papers, 1.5k citations indexed

About

Su Wen Qian is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Su Wen Qian has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Su Wen Qian's work include TGF-β signaling in diseases (11 papers), Cancer-related gene regulation (7 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Su Wen Qian is often cited by papers focused on TGF-β signaling in diseases (11 papers), Cancer-related gene regulation (7 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Su Wen Qian collaborates with scholars based in United States, United Kingdom and Canada. Su Wen Qian's co-authors include Anita B. Roberts, Vincenzo Pirrotta, Paturu Kondaiah, Maria Capovilla, Michael B. Sporn, Monica Tsang, Charles J. Cohen, Joseph P. Arena, Jeffrey W. Warmke and James A. Weatherbee 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

Su Wen Qian

19 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Wen Qian United States 17 1.1k 198 198 172 159 19 1.5k
Tomoko Takahashi Japan 17 932 0.8× 226 1.1× 72 0.4× 79 0.5× 202 1.3× 36 1.5k
Hillel T. Schwartz United States 16 1000 0.9× 140 0.7× 74 0.4× 59 0.3× 127 0.8× 30 1.5k
Patrizia Romani Italy 17 552 0.5× 85 0.4× 59 0.3× 72 0.4× 101 0.6× 27 1.3k
Jin-Li Zhang China 18 511 0.5× 107 0.5× 114 0.6× 106 0.6× 30 0.2× 46 998
Karen Staehling-Hampton United States 16 2.1k 1.8× 455 2.3× 236 1.2× 30 0.2× 224 1.4× 17 2.5k
Mireia Jordà Spain 16 1.1k 0.9× 315 1.6× 123 0.6× 154 0.9× 430 2.7× 32 1.7k
Makoto Abe Japan 20 782 0.7× 201 1.0× 50 0.3× 43 0.3× 74 0.5× 56 1.2k
Marc Thiry Belgium 17 707 0.6× 169 0.9× 80 0.4× 16 0.1× 212 1.3× 32 1.2k
Eric Lelièvre France 20 555 0.5× 60 0.3× 170 0.9× 173 1.0× 413 2.6× 36 1.6k
Brigitt D. Angst United Kingdom 10 832 0.7× 64 0.3× 38 0.2× 34 0.2× 76 0.5× 11 1.3k

Countries citing papers authored by Su Wen Qian

Since Specialization
Citations

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

Fields of papers citing papers by Su Wen Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Wen Qian

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

All Works

19 of 19 papers shown
1.
Kane, Nanci S., Birgit Hirschberg, Su Wen Qian, et al.. (2000). Drug-resistant Drosophila indicate glutamate-gated chloride channels are targets for the antiparasitics nodulisporic acid and ivermectin. Proceedings of the National Academy of Sciences. 97(25). 13949–13954. 162 indexed citations
2.
Qian, Su Wen, Nancy Dumont, Maureen D. O'Connor‐McCourt, & James K. Burmester. (1999). Distinct Functional Domains of TGF-β Bind Receptors on Endothelial Cells. Growth Factors. 17(1). 63–73. 10 indexed citations
3.
Burmester, James K., et al.. (1998). Mutational Analysis of a Transforming Growth Factor-β Receptor Binding Site. Growth Factors. 15(3). 231–242. 18 indexed citations
4.
Warmke, Jeffrey W., Robert A. Reenan, Peiyi Wang, et al.. (1997). Functional Expression ofDrosophila paraSodium Channels. The Journal of General Physiology. 110(2). 119–133. 184 indexed citations
5.
Qian, Su Wen, James K. Burmester, Monica Tsang, et al.. (1996). Binding Affinity of Transforming Growth Factor-β for Its Type II Receptor Is Determined by the C-terminal Region of the Molecule. Journal of Biological Chemistry. 271(48). 30656–30662. 56 indexed citations
6.
Böttinger, Erwin P., Valentina M. Factor, Monica Tsang, et al.. (1996). The recombinant proregion of transforming growth factor beta1 (latency-associated peptide) inhibits active transforming growth factor beta1 in transgenic mice.. Proceedings of the National Academy of Sciences. 93(12). 5877–5882. 124 indexed citations
7.
Hinck, Andrew P., Sharon J. Archer, Su Wen Qian, et al.. (1996). Transforming Growth Factor β1:  Three-Dimensional Structure in Solution and Comparison with the X-ray Structure of Transforming Growth Factor β2,. Biochemistry. 35(26). 8517–8534. 147 indexed citations
8.
Qian, Su Wen & Vincenzo Pirrotta. (1995). Dosage compensation of the Drosophila white gene requires both the X chromosome environment and multiple intragenic elements.. Genetics. 139(2). 733–744. 37 indexed citations
9.
Qian, Su Wen, James K. Burmester, Peter D. Sun, et al.. (1994). Characterization of Mutated Transforming Growth Factor-.beta.s Which Possess Unique Biological Properties. Biochemistry. 33(40). 12298–12304. 15 indexed citations
10.
11.
Amatayakul‐Chantler, Supavadee, et al.. (1994). [Ser77]transforming growth factor-beta 1. Selective biological activity and receptor binding in mink lung epithelial cells.. Journal of Biological Chemistry. 269(44). 27687–27691. 27 indexed citations
12.
Burmester, J. K., Su Wen Qian, Anita B. Roberts, et al.. (1993). Characterization of distinct functional domains of transforming growth factor beta.. Proceedings of the National Academy of Sciences. 90(18). 8628–8632. 34 indexed citations
13.
Qian, Su Wen, Maria Capovilla, & Vincenzo Pirrotta. (1993). Molecular mechanisms of pattern formation by the BRE enhancer of the Ubx gene.. The EMBO Journal. 12(10). 3865–3877. 58 indexed citations
14.
15.
Qian, Su Wen, J. K. Burmester, June Rae Merwin, et al.. (1992). Identification of a structural domain that distinguishes the actions of the type 1 and 2 isoforms of transforming growth factor beta on endothelial cells.. Proceedings of the National Academy of Sciences. 89(14). 6290–6294. 43 indexed citations
16.
Qian, Su Wen, Paturu Kondaiah, Ward Casscells, Anita B. Roberts, & Michael B. Sporn. (1991). A second messenger RNA species of transforming growth factor beta 1 in infarcted rat heart.. PubMed. 2(3). 241–249. 50 indexed citations
17.
Qian, Su Wen, Maria Capovilla, & Vincenzo Pirrotta. (1991). The bx region enhancer, a distant cis-control element of the Drosophila Ubx gene and its regulation by hunchback and other segmentation genes.. The EMBO Journal. 10(6). 1415–1425. 146 indexed citations
18.
Qian, Su Wen, et al.. (1990). cDNA cloning by PCR of rat transforming growth factor β-1. Nucleic Acids Research. 18(10). 3059–3059. 261 indexed citations
19.
Qian, Su Wen, Jingyu Zhang, Mark A. Kay, & Marcelo Jacobs‐Lorena. (1987). Structural analysis of theDrosophilarpA1 gene, a member of the eucaryotic ‘A’ type ribosomal protein family. Nucleic Acids Research. 15(3). 987–1003. 65 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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