Suke Wang

2.5k total citations
43 papers, 2.1k citations indexed

About

Suke Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Suke Wang has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 14 papers in Plant Science. Recurrent topics in Suke Wang's work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (15 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers). Suke Wang is often cited by papers focused on Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (15 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers). Suke Wang collaborates with scholars based in China, United States and United Kingdom. Suke Wang's co-authors include Marvin Bayne, Eric L. Gustafson, Anthony Clemmons, Brian E. Hawes, Steven D.E. Fried, Thomas M. Laz, Frederick J. Monsma, Ling Pang, Catherine D. Strader and Xudong Qiao and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and FEBS Letters.

In The Last Decade

Suke Wang

41 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suke Wang China 22 1.3k 957 432 329 306 43 2.1k
Aylin C. Hanyaloglu United Kingdom 31 2.5k 2.0× 975 1.0× 309 0.7× 534 1.6× 193 0.6× 79 3.7k
Xiaorong Zhu United States 28 1.5k 1.2× 473 0.5× 739 1.7× 436 1.3× 529 1.7× 60 3.3k
Jean‐Claude Marie France 20 827 0.6× 493 0.5× 286 0.7× 249 0.8× 78 0.3× 37 1.9k
Jeremy T. Smyth United States 25 1.6k 1.2× 1.1k 1.1× 127 0.3× 229 0.7× 64 0.2× 39 3.4k
Jean-Claude Cuber France 24 553 0.4× 642 0.7× 555 1.3× 315 1.0× 296 1.0× 59 1.8k
Sven Hastrup Denmark 19 773 0.6× 412 0.4× 226 0.5× 628 1.9× 1.1k 3.6× 24 2.2k
Raquel E. Rodrı́guez Spain 27 1.0k 0.8× 967 1.0× 175 0.4× 423 1.3× 106 0.3× 89 2.1k
Tomáš Drmota United Kingdom 16 583 0.5× 755 0.8× 255 0.6× 173 0.5× 156 0.5× 28 1.8k
George Gaitanaris United States 18 1.4k 1.1× 579 0.6× 102 0.2× 213 0.6× 100 0.3× 28 2.0k
M. Mori Japan 28 858 0.7× 624 0.7× 676 1.6× 497 1.5× 790 2.6× 89 2.8k

Countries citing papers authored by Suke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suke Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Suke Wang. A scholar is included among the top collaborators of Suke Wang 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 Suke Wang. Suke Wang 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.
Bian, Jianxin, Yanan Wang, Lei Wang, et al.. (2025). Haplotype-resolved T2T genome assembly of the pear cultivar ‘Danxiahong’. Scientific Data. 12(1). 1024–1024. 1 indexed citations
2.
3.
Shi, Ting, Jianmei Yang, Long Wang, et al.. (2018). Genome-wide characterization of simple sequence repeats in Pyrus bretschneideri and their application in an analysis of genetic diversity in pear. BMC Genomics. 19(1). 473–473. 21 indexed citations
4.
Wang, Suke, Jia‐Long Yao, Cecilia Deng, et al.. (2018). Chromosome level high-density integrated genetic maps improve the Pyrus bretschneideri ‘DangshanSuli’ v1.0 genome. BMC Genomics. 19(1). 833–833. 30 indexed citations
5.
6.
Shi, Ting, Fangfang Wang, Huangkai Zhou, et al.. (2017). Interval mapping for red/green skin color in Asian pears using a modified QTL-seq method. Horticulture Research. 4(1). 17053–17053. 35 indexed citations
7.
Wang, Suke. (2011). Construction of AFLP Genetic Linkage Map and Analysis of QTLs Related to Fruit Traits in Pear. Acta Horticulturae Sinica. 3 indexed citations
8.
Li, Xiugen, et al.. (2010). Progress and proposal in research of pear breeding in China.. Guoshu xuebao. 27(6). 987–994. 1 indexed citations
9.
Liu, Yongli, et al.. (2010). Construction of a genetic linkage map and QTL analysis for some fruit traits in pear. Guoshu xuebao. 27(4). 496–503. 5 indexed citations
10.
Jiang, Ying, Lin Luo, Eric L. Gustafson, et al.. (2003). Identification and Characterization of a Novel RF-amide Peptide Ligand for Orphan G-protein-coupled Receptor SP9155. Journal of Biological Chemistry. 278(30). 27652–27657. 141 indexed citations
11.
Hedrick, Joseph A., Kelley L. Morse, Li-Xin Shan, et al.. (2000). Identification of a Human Gastrointestinal Tract and Immune System Receptor for the Peptide Neuromedin U. Molecular Pharmacology. 58(4). 870–875. 94 indexed citations
12.
Wang, Suke, Eric L. Gustafson, Ling Pang, et al.. (2000). A Novel Hepatointestinal Leukotriene B4 Receptor. Journal of Biological Chemistry. 275(52). 40686–40694. 61 indexed citations
13.
Shan, Li-Xin, Xudong Qiao, James H. Crona, et al.. (2000). Identification of a Novel Neuromedin U Receptor Subtype Expressed in the Central Nervous System. Journal of Biological Chemistry. 275(50). 39482–39486. 92 indexed citations
14.
Pang, Ling, Michael P. Graziano, Marvin Bayne, et al.. (1998). The Mouse GalR2 Galanin Receptor: Genomic Organization, cDNA Cloning, and Functional Characterization. Journal of Neurochemistry. 71(6). 2252–2259. 37 indexed citations
15.
Wang, Suke, et al.. (1997). Cloning and Expressional Characterization of a Novel Galanin Receptor. Journal of Biological Chemistry. 272(51). 31949–31952. 189 indexed citations
16.
Wang, Suke, et al.. (1997). Molecular Cloning and Pharmacological Characterization of a New Galanin Receptor Subtype. Molecular Pharmacology. 52(3). 337–343. 123 indexed citations
17.
Wang, Suke, Anthony Clemmons, Robert E. Burrier, et al.. (1997). Genomic organization and functional characterization of the mouse GalR1 galanin receptor. FEBS Letters. 411(2-3). 225–230. 62 indexed citations
18.
Wang, Suke, Paul Kussie, Liping Deng, & Alan R. Tall. (1995). Defective Binding of Neutral Lipids by a Carboxyl-terminal Deletion Mutant of Cholesteryl Ester Transfer Protein. Journal of Biological Chemistry. 270(2). 612–618. 39 indexed citations
19.
Stevenson, Susan C., Suke Wang, Liping Deng, & Alan R. Tall. (1993). Human plasma cholesteryl ester transfer protein consists of a mixture of two forms reflecting variable glycosylation at asparagine 341. Biochemistry. 32(19). 5121–5126. 37 indexed citations
20.
Wang, Suke, Liping Deng, Maryanne L. Brown, Luis B. Agellon, & Alan R. Tall. (1991). Structure-function studies of human cholesteryl ester transfer protein by linker insertion scanning mutagenesis. Biochemistry. 30(14). 3484–3490. 30 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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