Cheryl Spence

1.9k total citations
20 papers, 1.4k citations indexed

About

Cheryl Spence is a scholar working on Molecular Biology, Process Chemistry and Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cheryl Spence has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Process Chemistry and Technology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cheryl Spence's work include Odor and Emission Control Technologies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pancreatic function and diabetes (3 papers). Cheryl Spence is often cited by papers focused on Odor and Emission Control Technologies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pancreatic function and diabetes (3 papers). Cheryl Spence collaborates with scholars based in United States, Switzerland and United Kingdom. Cheryl Spence's co-authors include Pascal Bailon, C. Jeffrey Smith, Wen Pan, Mary C. Graves, Jill E. Porter, Zhixin Xu, Marlene Modi, Alicia V. Palleroni, George K. Ehrlich and W. Berthold and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Cheryl Spence

20 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
Cheryl Spence United States 13 734 378 217 169 156 20 1.4k
Yun‐Jung Choi South Korea 30 1.5k 2.0× 300 0.8× 135 0.6× 34 0.2× 173 1.1× 73 2.7k
Subhadip Ghatak United States 22 633 0.9× 157 0.4× 118 0.5× 52 0.3× 120 0.8× 51 1.7k
T. William Jordan New Zealand 23 717 1.0× 128 0.3× 38 0.2× 53 0.3× 103 0.7× 72 1.5k
Hui Han China 18 415 0.6× 126 0.3× 74 0.3× 42 0.2× 107 0.7× 79 1.5k
Keiko Ishikawa Japan 24 765 1.0× 236 0.6× 27 0.1× 53 0.3× 108 0.7× 91 1.9k
M. R. Shetlar United States 25 521 0.7× 204 0.5× 75 0.3× 119 0.7× 92 0.6× 82 1.7k
J Menzel Austria 19 495 0.7× 444 1.2× 220 1.0× 83 0.5× 217 1.4× 84 1.6k
Luiz Eurico Nasciutti Brazil 28 738 1.0× 175 0.5× 159 0.7× 40 0.2× 299 1.9× 88 2.1k
Tadashi Takeuchi Japan 17 517 0.7× 133 0.4× 43 0.2× 23 0.1× 106 0.7× 44 1.1k
Ding Xu United States 25 1.3k 1.8× 140 0.4× 49 0.2× 39 0.2× 258 1.7× 64 2.4k

Countries citing papers authored by Cheryl Spence

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Spence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheryl Spence

This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl Spence. A scholar is included among the top collaborators of Cheryl Spence 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 Cheryl Spence. Cheryl Spence 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.
Yokoyama, M. T., et al.. (2016). Sodium Tetraborate Decahydrate Treatment Reduces Hydrogen Sulfide and the Sulfate‐Reducing Bacteria Population of Swine Manure. Journal of Environmental Quality. 45(6). 1838–1846. 4 indexed citations
2.
Gillespie, Paul, Michael C. Myers, Karin Conde‐Knape, et al.. (2014). Discovery of camphor-derived pyrazolones as 11β-hydroxysteroid dehydrogenase type 1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(12). 2707–2711. 2 indexed citations
3.
Whitehead, Terence R., Cheryl Spence, & Michael A. Cotta. (2012). Inhibition of hydrogen sulfide, methane, and total gas production and sulfate-reducing bacteria in in vitro swine manure by tannins, with focus on condensed quebracho tannins. Applied Microbiology and Biotechnology. 97(18). 8403–8409. 25 indexed citations
4.
Jensen, B. B., et al.. (2012). Microbial production of volatile sulphur compounds in the large intestine of pigs fed two different diets. Journal of Applied Microbiology. 113(1). 143–154. 8 indexed citations
5.
Sidduri, Achyutharao, Joseph Grimsby, Wendy L. Corbett, et al.. (2010). 2,3-Disubstituted acrylamides as potent glucokinase activators. Bioorganic & Medicinal Chemistry Letters. 20(19). 5673–5676. 21 indexed citations
6.
7.
Haynes, Nancy-Ellen, Wendy L. Corbett, Fred T. Bizzarro, et al.. (2010). Discovery, Structure−Activity Relationships, Pharmacokinetics, and Efficacy of Glucokinase Activator (2R)-3-Cyclopentyl-2-(4-methanesulfonylphenyl)-N-thiazol-2-yl-propionamide (RO0281675). Journal of Medicinal Chemistry. 53(9). 3618–3625. 36 indexed citations
8.
Cook, Kimberly, Terence R. Whitehead, Cheryl Spence, & Michael A. Cotta. (2008). Evaluation of the sulfate-reducing bacterial population associated with stored swine slurry. Anaerobe. 14(3). 172–180. 27 indexed citations
9.
Spence, Cheryl, Terence R. Whitehead, & Michael A. Cotta. (2008). Development and comparison of SYBR Green quantitative real-time PCR assays for detection and enumeration of sulfate-reducing bacteria in stored swine manure. Journal of Applied Microbiology. 105(6). 2143–2152. 34 indexed citations
10.
Spence, Cheryl, et al.. (2006). Characterization of the Primary Starch Utilization Operon in the Obligate Anaerobe Bacteroides fragilis : Regulation by Carbon Source and Oxygen. Journal of Bacteriology. 188(13). 4663–4672. 126 indexed citations
11.
Grimsby, Joseph, Ramakanth Sarabu, Wendy L. Corbett, et al.. (2003). Allosteric Activators of Glucokinase: Potential Role in Diabetes Therapy. Science. 301(5631). 370–373. 408 indexed citations
12.
13.
Bailon, Pascal, Alicia V. Palleroni, Cheryl Spence, et al.. (2001). Rational Design of a Potent, Long-Lasting Form of Interferon:  A 40 kDa Branched Polyethylene Glycol-Conjugated Interferon α-2a for the Treatment of Hepatitis C. Bioconjugate Chemistry. 12(2). 195–202. 483 indexed citations
14.
Spence, Cheryl & Pascal Bailon. (2000). Fluidized-Bed Receptor-Affinity Chromatography. Methods in molecular biology. 147. 25–39. 1 indexed citations
15.
Horn, David, et al.. (2000). Telomere maintenance and length regulation in Trypanosoma brucei. The EMBO Journal. 19(10). 2332–2339. 32 indexed citations
16.
Spence, Cheryl, et al.. (1994). Fluidized‐bed receptor‐affinity chromatography. Biomedical Chromatography. 8(5). 236–241. 13 indexed citations
17.
Chan, Edward K. L., et al.. (1994). The Use of a Confirmatory assay to Increase the Sensitivity and Specificity of the Chlamydiazyme Test. American Journal of Clinical Pathology. 102(6). 724–728. 9 indexed citations
18.
19.
Thompson, Bruce, et al.. (1993). Chronic hypoxic pulmonary hypertension in the guinea pig: effect of three levels of hypoxia. Journal of Applied Physiology. 74(2). 916–921. 13 indexed citations
20.
Spence, Cheryl, et al.. (1991). Localization in human interleukin 2 of the binding site to the alpha chain (p55) of the interleukin 2 receptor.. Proceedings of the National Academy of Sciences. 88(11). 4636–4640. 81 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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