Stephen S. Chen

1.7k total citations
18 papers, 1.3k citations indexed

About

Stephen S. Chen is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Stephen S. Chen has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Stephen S. Chen's work include RNA and protein synthesis mechanisms (4 papers), Muscle metabolism and nutrition (3 papers) and Ion channel regulation and function (3 papers). Stephen S. Chen is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Muscle metabolism and nutrition (3 papers) and Ion channel regulation and function (3 papers). Stephen S. Chen collaborates with scholars based in United States and Sweden. Stephen S. Chen's co-authors include Aleksander Kreglewski, James R. Williamson, Terence Hwa, Markus Basan, Sheng Hui, Jilong Wang, David W. Erickson, Rafael M. Couñago, Yousif Shamoo and Ralf Tautenhahn and has published in prestigious journals such as Molecular Cell, Journal of Molecular Biology and Analytical Chemistry.

In The Last Decade

Stephen S. Chen

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen S. Chen United States 13 782 424 213 207 141 18 1.3k
Gerson Kegeles United States 23 776 1.0× 201 0.5× 121 0.6× 33 0.2× 299 2.1× 59 1.6k
Vitaly Buckin Ireland 21 599 0.8× 208 0.5× 92 0.4× 38 0.2× 75 0.5× 46 1.3k
Cyril Norman Hinshelwood United Kingdom 16 292 0.4× 212 0.5× 64 0.3× 87 0.4× 42 0.3× 135 1.0k
Jennifer L. Dashnau United States 11 373 0.5× 128 0.3× 43 0.2× 43 0.2× 83 0.6× 12 901
Rengaswami Chandrasekaran United States 20 1.2k 1.5× 110 0.3× 19 0.1× 51 0.2× 91 0.6× 39 2.3k
Guillaume Witz United States 28 1.3k 1.6× 259 0.6× 31 0.1× 316 1.5× 55 0.4× 54 2.4k
Sunil Nath India 24 1.1k 1.4× 242 0.6× 65 0.3× 11 0.1× 59 0.4× 77 1.5k
Phil G. Squire United States 16 756 1.0× 170 0.4× 26 0.1× 77 0.4× 246 1.7× 33 1.3k
H. Ludwig Germany 20 384 0.5× 136 0.3× 17 0.1× 65 0.3× 99 0.7× 69 1.3k
C.M. Gary-Bobo France 21 895 1.1× 139 0.3× 48 0.2× 19 0.1× 188 1.3× 48 1.4k

Countries citing papers authored by Stephen S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Stephen S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen S. Chen

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

All Works

18 of 18 papers shown
1.
Chen, Stephen S., Sarah Schaefer, Kristin L. Long, et al.. (2019). Optimizing Levothyroxine Dose Adjustment After Thyroidectomy With a Decision Tree. Journal of Surgical Research. 244. 102–106. 22 indexed citations
2.
Hui, Sheng, Stephen S. Chen, David W. Erickson, et al.. (2015). Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria. Molecular Systems Biology. 11(2). 784–784. 241 indexed citations
3.
Ivanišević, Julijana, Zheng‐Jiang Zhu, Lars Plate, et al.. (2013). Toward ‘Omic Scale Metabolite Profiling: A Dual Separation–Mass Spectrometry Approach for Coverage of Lipid and Central Carbon Metabolism. Analytical Chemistry. 85(14). 6876–6884. 231 indexed citations
4.
Chen, Stephen S., et al.. (2012). Measuring the dynamics of E. coli ribosome biogenesis using pulse-labeling and quantitative mass spectrometry. Molecular BioSystems. 8(12). 3325–3334. 52 indexed citations
5.
Chen, Stephen S. & James R. Williamson. (2012). Characterization of the Ribosome Biogenesis Landscape in E. coli Using Quantitative Mass Spectrometry. Journal of Molecular Biology. 425(4). 767–779. 106 indexed citations
6.
Foss, Kim D. Barber, Gregory D. Myer, Stephen S. Chen, & Timothy E. Hewett. (2012). Expected Prevalence From the Differential Diagnosis of Anterior Knee Pain in Adolescent Female Athletes During Preparticipation Screening. Journal of Athletic Training. 47(5). 519–524. 53 indexed citations
7.
Sykes, Michael T., Edit Sperling, Stephen S. Chen, & James R. Williamson. (2010). Quantitation of the Ribosomal Protein Autoregulatory Network Using Mass Spectrometry. Analytical Chemistry. 82(12). 5038–5045. 15 indexed citations
8.
Mayfield, Stephen P., Andrea L. Manuell, Stephen S. Chen, et al.. (2007). Chlamydomonas reinhardtii chloroplasts as protein factories. Current Opinion in Biotechnology. 18(2). 126–133. 138 indexed citations
9.
Couñago, Rafael M., Stephen S. Chen, & Yousif Shamoo. (2006). In Vivo Molecular Evolution Reveals Biophysical Origins of Organismal Fitness. Molecular Cell. 22(4). 441–449. 79 indexed citations
10.
Kreglewski, Aleksander & Stephen S. Chen. (1978). Applications of the augmented van der waals theory of fluids. Journal de Chimie Physique. 75. 347–352. 20 indexed citations
11.
Chen, Stephen S. & Aleksander Kreglewski. (1977). Applications of the Augmented van der Waals Theory of Fluids.: I. Pure Fluids. Berichte der Bunsengesellschaft für physikalische Chemie. 81(10). 1048–1052. 278 indexed citations
12.
Chen, Stephen S.. (1975). Effects of Local Anesthetics and Hemicholinium-3 on 45Ca Efflux in Barnacle Muscle Fibers. Canadian Journal of Physiology and Pharmacology. 53(2). 285–292. 2 indexed citations
13.
Chen, Stephen S., et al.. (1975). Stimulation by cyclic nucleotides of calcium efflux in barnacle muscle fibers. Life Sciences. 16(11). 1711–1716. 4 indexed citations
14.
Chen, Stephen S.. (1974). Studies of radiocalcium efflux in single barnacle muscle fibres: effects of procaine and external divalent cations. The Journal of Physiology. 238(2). 313–328. 34 indexed citations
15.
Chen, Stephen S., et al.. (1973). An Investigation of the Action of Diphenylhydantoin on Sodium Efflux in Barnacle Muscle Fibres. Acta Physiologica Scandinavica. 89(1). 30–38. 8 indexed citations
16.
Bittar, E. Edward, et al.. (1973). An investigation of the action of ouabain on the sodium efflux in barnacle muscle fibres.. PubMed. 87(3). 377–90. 21 indexed citations
17.
Danielson, Bo G., et al.. (1972). On the mode of action of ethacrynic acid, using the barnacle muscle fiber as a model. Life Sciences. 11(1). 13–21. 10 indexed citations
18.
Danielson, Bo G., et al.. (1971). Diphenylhydantoin as a blocking agent of the proton-sensitive component of Na efflux in barnacle muscle fibers. Life Sciences. 10(13). 721–726. 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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