Christine M. Colvis

1.8k total citations
19 papers, 1.3k citations indexed

About

Christine M. Colvis is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Christine M. Colvis has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Economics and Econometrics. Recurrent topics in Christine M. Colvis's work include Pharmaceutical Economics and Policy (5 papers), Computational Drug Discovery Methods (3 papers) and Connexins and lens biology (3 papers). Christine M. Colvis is often cited by papers focused on Pharmaceutical Economics and Policy (5 papers), Computational Drug Discovery Methods (3 papers) and Connexins and lens biology (3 papers). Christine M. Colvis collaborates with scholars based in United States, Italy and United Kingdom. Christine M. Colvis's co-authors include Ted S. Acott, J. R. Samples, Janice A. Vranka, J. Alexander, J. M. Bradley, W. E. Conner, Don S. Lin, Christopher P. Austin, Donita Garland and John R. Samples and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Reviews Drug Discovery.

In The Last Decade

Christine M. Colvis

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine M. Colvis United States 12 394 353 180 149 129 19 1.3k
Xueling Sim Singapore 22 549 1.4× 183 0.5× 186 1.0× 20 0.1× 77 0.6× 71 1.6k
Xiaoling Fang China 23 643 1.6× 102 0.3× 131 0.7× 317 2.1× 54 0.4× 107 1.5k
Robert Kim United States 24 792 2.0× 68 0.2× 104 0.6× 18 0.1× 38 0.3× 50 1.8k
Futao Zhang China 10 1.2k 3.0× 50 0.1× 64 0.4× 52 0.3× 64 0.5× 27 2.7k
Scott J. Hebbring United States 26 836 2.1× 47 0.1× 53 0.3× 17 0.1× 87 0.7× 67 2.0k
Yifan Chen China 21 440 1.1× 50 0.1× 85 0.5× 22 0.1× 50 0.4× 85 1.4k
Jacqueline A. L. MacArthur United Kingdom 9 2.0k 5.0× 46 0.1× 68 0.4× 32 0.2× 116 0.9× 13 3.7k
Weina Wang China 20 457 1.2× 64 0.2× 175 1.0× 20 0.1× 19 0.1× 70 1.3k
Danielle Welter Luxembourg 6 1.8k 4.6× 42 0.1× 59 0.3× 31 0.2× 92 0.7× 12 3.2k
Peggy Hall United States 5 1.8k 4.6× 42 0.1× 54 0.3× 31 0.2× 92 0.7× 8 3.3k

Countries citing papers authored by Christine M. Colvis

Since Specialization
Citations

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

Fields of papers citing papers by Christine M. Colvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine M. Colvis. 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 Christine M. Colvis. The network helps show where Christine M. Colvis may publish in the future.

Co-authorship network of co-authors of Christine M. Colvis

This figure shows the co-authorship network connecting the top 25 collaborators of Christine M. Colvis. A scholar is included among the top collaborators of Christine M. Colvis 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 Christine M. Colvis. Christine M. Colvis 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.
Sharma, Karlie R., Christine M. Colvis, Griffin P. Rodgers, & Douglas M. Sheeley. (2023). Illuminating the druggable genome: Pathways to progress. Drug Discovery Today. 29(3). 103805–103805. 13 indexed citations
2.
Korn, Daniel, Vinícius M. Alves, Joyce Villa Verde Bastos Borba, et al.. (2022). Defining clinical outcome pathways. Drug Discovery Today. 27(6). 1671–1678. 9 indexed citations
3.
Wegner, Craig D., et al.. (2022). A public–private collaboration model for clinical innovation. Clinical and Translational Science. 15(7). 1581–1591. 3 indexed citations
4.
Austin, Christopher P., et al.. (2021). Envisioning an actionable research agenda to facilitate repurposing of off-patent drugs. Nature Reviews Drug Discovery. 20(10). 723–724. 8 indexed citations
5.
Grobler, Jay A., Annaliesa S. Anderson, Prabhavathi Fernandes, et al.. (2020). Accelerated Preclinical Paths to Support Rapid Development of COVID-19 Therapeutics. Cell Host & Microbe. 28(5). 638–645. 25 indexed citations
6.
Cutillo, Christine M., Karlie R. Sharma, Luca Foschini, et al.. (2020). Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency. npj Digital Medicine. 3(1). 47–47. 197 indexed citations
7.
Rodgers, Griffin P., Christopher P. Austin, James M. Anderson, et al.. (2018). Glimmers in illuminating the druggable genome. Nature Reviews Drug Discovery. 17(5). 301–302. 77 indexed citations
8.
Ilekis, John, Ekaterini Tsilou, Susan J. Fisher, et al.. (2016). Placental origins of adverse pregnancy outcomes: potential molecular targets: an Executive Workshop Summary of the Eunice Kennedy Shriver National Institute of Child Health and Human Development. American Journal of Obstetrics and Gynecology. 215(1). S1–S46. 216 indexed citations
9.
Colvis, Christine M. & Christopher P. Austin. (2015). The NIH-Industry New Therapeutic Uses Pilot Program: Demonstrating the Power of Crowdsourcing. Assay and Drug Development Technologies. 13(6). 297–298. 4 indexed citations
10.
Colvis, Christine M. & Christopher P. Austin. (2015). The NIH-Industry New Therapeutic Uses Pilot Program: Demonstrating the Power of Crowdsourcing. 1(1). 15–16. 1 indexed citations
11.
Colvis, Christine M. & Christopher P. Austin. (2013). Innovation in Therapeutics Development at the NCATS. Neuropsychopharmacology. 39(1). 230–232. 10 indexed citations
12.
Colvis, Christine M., Stephanie A. Devaney, Linda S. Brady, & Kathy Hudson. (2012). Partnering for Therapeutics Discovery. Clinical Pharmacology & Therapeutics. 93(1). 24–25. 3 indexed citations
13.
Colvis, Christine M., Jonathan D. Pollock, Richard H. Goodman, et al.. (2005). Epigenetic Mechanisms and Gene Networks in the Nervous System. Journal of Neuroscience. 25(45). 10379–10389. 108 indexed citations
14.
Colvis, Christine M. & Donita Garland. (2002). Posttranslational Modification of Human αA-Crystallin: Correlation with Electrophoretic Migration. Archives of Biochemistry and Biophysics. 397(2). 319–323. 32 indexed citations
15.
Colvis, Christine M., et al.. (2000). Tracking pathology with proteomics: Identification ofin vivo degradation products of αB-crystallin. Electrophoresis. 21(11). 2219–2227. 21 indexed citations
16.
Bradley, John M., et al.. (2000). Mediation of laser trabeculoplasty-induced matrix metalloproteinase expression by IL-1beta and TNFalpha.. PubMed. 41(2). 422–30. 131 indexed citations
17.
Colvis, Christine M., Jeffrey A. Kowalak, Manuel B. Datiles, et al.. (1999). An Atypical Form of αB-crystallin Is Present in High Concentration in Some Human Cataractous Lenses. Journal of Biological Chemistry. 274(45). 32287–32294. 25 indexed citations
18.
Bradley, J. M., Janice A. Vranka, Christine M. Colvis, et al.. (1998). Effect of matrix metalloproteinases activity on outflow in perfused human organ culture.. PubMed. 39(13). 2649–58. 280 indexed citations
19.
Conner, W. E., Don S. Lin, & Christine M. Colvis. (1996). Differential mobilization of fatty acids from adipose tissue. Journal of Lipid Research. 37(2). 290–298. 102 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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