Ruoping Chen

4.9k total citations · 3 hit papers
38 papers, 3.9k citations indexed

About

Ruoping Chen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ruoping Chen has authored 38 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Surgery. Recurrent topics in Ruoping Chen's work include Receptor Mechanisms and Signaling (9 papers), Diabetes Treatment and Management (5 papers) and MicroRNA in disease regulation (4 papers). Ruoping Chen is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Diabetes Treatment and Management (5 papers) and MicroRNA in disease regulation (4 papers). Ruoping Chen collaborates with scholars based in China, United States and Germany. Ruoping Chen's co-authors include Holly A. Ingraham, Michael G. Rosenfeld, Sarah E. Flynn, Donna M. Simmons, Harry P. Elsholtz, Chijen R. Lin, Larry W. Swanson, Harry J. Mangalam, Samuel D. Wright and M. Gerard Waters and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Ruoping Chen

36 papers receiving 3.9k citations

Hit Papers

A tissue-specific transcription factor containing a homeo... 1988 2026 2000 2013 1988 1998 2005 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
Ruoping Chen China 21 1.9k 1.2k 680 560 484 38 3.9k
Felix Hausch Germany 35 2.2k 1.2× 462 0.4× 294 0.4× 622 1.1× 588 1.2× 129 4.8k
Pier Luigi Canonico Italy 44 2.7k 1.5× 518 0.4× 1.0k 1.5× 332 0.6× 291 0.6× 213 7.0k
Morton P. Printz United States 41 2.4k 1.3× 505 0.4× 738 1.1× 340 0.6× 275 0.6× 155 5.2k
Eugen Brailoiu United States 41 2.1k 1.1× 851 0.7× 688 1.0× 216 0.4× 431 0.9× 140 6.4k
Gennaro Schettini Italy 50 3.4k 1.8× 900 0.8× 1.8k 2.6× 259 0.5× 355 0.7× 198 8.2k
Moshe Gavish Israel 41 3.3k 1.8× 337 0.3× 783 1.2× 476 0.8× 234 0.5× 174 6.9k
Charbel Massaad France 37 1.6k 0.9× 322 0.3× 843 1.2× 182 0.3× 377 0.8× 85 4.0k
David Pozo Spain 41 1.4k 0.8× 215 0.2× 1.0k 1.5× 247 0.4× 589 1.2× 106 5.6k
Chul Hoon Kim South Korea 34 2.2k 1.2× 292 0.2× 489 0.7× 142 0.3× 322 0.7× 138 4.8k

Countries citing papers authored by Ruoping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ruoping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoping Chen. A scholar is included among the top collaborators of Ruoping Chen 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 Ruoping Chen. Ruoping Chen 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.
Yu, Yingyan, Yuning Wang, Yujie Liu, et al.. (2025). Activity-Based Nanoprobes for Multiscale Functional Analysis of Proteases in Medulloblastomas. ACS Sensors. 10(9). 6981–6990.
2.
Chen, Ruoping, et al.. (2025). Direct SERS profiling of small extracellular vesicles in cerebrospinal fluid for pediatric medulloblastoma detection and treatment monitoring. Analytical and Bioanalytical Chemistry. 417(30). 6769–6779. 1 indexed citations
4.
Wang, Chen, Yujie Liu, Ruoping Chen, et al.. (2022). Electrochemical biosensing of circulating microRNA-21 in cerebrospinal fluid of medulloblastoma patients through target-induced redox signal amplification. Microchimica Acta. 189(3). 105–105. 16 indexed citations
5.
Wang, Yunkun, et al.. (2021). Establishment of a prognostic-related microRNAs risk model for glioma by bioinformatics analysis. Annals of Translational Medicine. 9(12). 1022–1022. 5 indexed citations
6.
Chen, Aixia, et al.. (2021). Massive congenital immature teratoma of the lateral ventricle in a 33-day infant comorbidity with atrial septal defect. Child s Nervous System. 38(1). 217–221. 1 indexed citations
7.
Pan, Faming, et al.. (2020). Circulating apelin, chemerin and omentin levels in patients with gestational diabetes mellitus: a systematic review and meta-analysis. Lipids in Health and Disease. 19(1). 26–26. 26 indexed citations
8.
Liu, Jiangang, Yuning Wang, Yu Liu, et al.. (2020). A Biomimetic Plasmonic Nanoreactor for Reliable Metabolite Detection. Advanced Science. 7(10). 1903730–1903730. 61 indexed citations
9.
Huang, Lin, Jingjing Wan, Xiang Wei, et al.. (2017). Plasmonic silver nanoshells for drug and metabolite detection. Nature Communications. 8(1). 220–220. 180 indexed citations
10.
Chen, Ruoping, et al.. (2013). Correlation between serum cathepsin S and insulin resistance in type 2 diabetes. Experimental and Therapeutic Medicine. 6(5). 1237–1242. 15 indexed citations
11.
Zhang, Tong, Ruoping Chen, Chen Liaw, et al.. (2011). Inhibition of Mas G-protein signaling improves coronary blood flow, reduces myocardial infarct size, and provides long-term cardioprotection. American Journal of Physiology-Heart and Circulatory Physiology. 302(1). H299–H311. 30 indexed citations
12.
Boatman, P. Douglas, Thomas O. Schrader, Benjamin Johnson, et al.. (2010). Potent tricyclic pyrazole tetrazole agonists of the nicotinic acid receptor (GPR109a). Bioorganic & Medicinal Chemistry Letters. 20(9). 2797–2800. 23 indexed citations
13.
Skinner, Philip J., Peter J. Webb, Carleton R. Sage, et al.. (2009). 5-N,N-Disubstituted 5-aminopyrazole-3-carboxylic acids are highly potent agonists of GPR109b. Bioorganic & Medicinal Chemistry Letters. 19(15). 4207–4209. 20 indexed citations
14.
Richman, Jeremy G., Ibragim Gaidarov, Jill S. Cameron, et al.. (2007). Nicotinic Acid Receptor Agonists Differentially Activate Downstream Effectors. Journal of Biological Chemistry. 282(25). 18028–18036. 87 indexed citations
15.
Skinner, Philip J., Peter J. Webb, Young‐Jun Shin, et al.. (2007). Fluorinated pyrazole acids are agonists of the high affinity niacin receptor GPR109a. Bioorganic & Medicinal Chemistry Letters. 17(20). 5620–5623. 32 indexed citations
16.
Skinner, Philip J., Peter J. Webb, Carleton R. Sage, et al.. (2007). 3-Nitro-4-amino benzoic acids and 6-amino nicotinic acids are highly selective agonists of GPR109b. Bioorganic & Medicinal Chemistry Letters. 17(23). 6619–6622. 24 indexed citations
17.
Taggart, Andrew K.P., Jukka Kero, Xiaodong Gan, et al.. (2005). (d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via the Nicotinic Acid Receptor PUMA-G. Journal of Biological Chemistry. 280(29). 26649–26652. 529 indexed citations breakdown →
18.
Smith, George W., Jean-Michel Aubry, F. Dellu, et al.. (1998). Corticotropin Releasing Factor Receptor 1–Deficient Mice Display Decreased Anxiety, Impaired Stress Response, and Aberrant Neuroendocrine Development. Neuron. 20(6). 1093–1102. 709 indexed citations breakdown →
19.
Chen, Ruoping, Holly A. Ingraham, Maurice N. Treacy, et al.. (1990). Autoregulation of pit-1 gene expression mediated by two cis-active promoter elements. Nature. 346(6284). 583–586. 187 indexed citations
20.
Ingraham, Holly A., Ruoping Chen, Harry J. Mangalam, et al.. (1988). A tissue-specific transcription factor containing a homeodomain specifies a pituitary phenotype. Cell. 55(3). 519–529. 870 indexed citations breakdown →

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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