Christopher Williams

783 total citations
25 papers, 604 citations indexed

About

Christopher Williams is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Christopher Williams has authored 25 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Christopher Williams's work include Immune cells in cancer (6 papers), Estrogen and related hormone effects (5 papers) and Mesenchymal stem cell research (3 papers). Christopher Williams is often cited by papers focused on Immune cells in cancer (6 papers), Estrogen and related hormone effects (5 papers) and Mesenchymal stem cell research (3 papers). Christopher Williams collaborates with scholars based in United States, United Kingdom and Thailand. Christopher Williams's co-authors include István Majoros, James R. Baker, Brian G. Rowan, Tamika Duplessis, Marion F. Gruber, Shawn D. Llopis, T L Gerrard, Steven M. Hill, H. Terry Wepsic and Latonya Carrier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Christopher Williams

25 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Williams United States 12 311 168 130 105 53 25 604
Hounan Wu China 14 263 0.8× 107 0.6× 88 0.7× 58 0.6× 32 0.6× 24 696
Jörg Dennig Germany 6 554 1.8× 73 0.4× 75 0.6× 109 1.0× 83 1.6× 8 715
Qi Bao China 17 448 1.4× 303 1.8× 170 1.3× 112 1.1× 56 1.1× 37 925
François Malecaze France 22 502 1.6× 88 0.5× 38 0.3× 74 0.7× 51 1.0× 49 1.2k
Yifeng Jia United States 9 308 1.0× 61 0.4× 80 0.6× 52 0.5× 21 0.4× 15 539
Karen Rockwell United States 6 444 1.4× 149 0.9× 51 0.4× 40 0.4× 13 0.2× 7 753
Patrick M. McLendon United States 14 730 2.3× 33 0.2× 79 0.6× 81 0.8× 21 0.4× 18 1.0k
Tianshu Li China 19 494 1.6× 121 0.7× 125 1.0× 75 0.7× 14 0.3× 55 817
Jason H. Williams United States 12 319 1.0× 51 0.3× 44 0.3× 124 1.2× 26 0.5× 27 532
Gianluca Ragone Italy 17 533 1.7× 139 0.8× 254 2.0× 59 0.6× 8 0.2× 35 978

Countries citing papers authored by Christopher Williams

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Williams. A scholar is included among the top collaborators of Christopher Williams 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 Christopher Williams. Christopher Williams 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.
Williams, Christopher, Kiana Mahdaviani, Yuriy O. Alekseyev, et al.. (2024). PGC-1α agonism induces fetal hemoglobin and exerts antisickling effects in sickle cell disease. Science Advances. 10(31). eadn8750–eadn8750. 3 indexed citations
2.
Hamel, Katie, Trivia Frazier, Christopher Williams, et al.. (2024). Adipose Tissue in Breast Cancer Microphysiological Models to Capture Human Diversity in Preclinical Models. International Journal of Molecular Sciences. 25(5). 2728–2728. 3 indexed citations
3.
Frazier, Trivia, Christopher Williams, Michael W. Henderson, et al.. (2021). Breast Cancer Reconstruction: Design Criteria for a Humanized Microphysiological System. Tissue Engineering Part A. 27(7-8). 479–488. 3 indexed citations
4.
Williams, Christopher, et al.. (2021). LOSS OF GLUTATHIONE PEROXIDASE 1 ATTENUATES COLITIS AND IS CRITICAL IN ACTIVATING EPITHELIAL REGENERATIVE RESPONSES. Gastroenterology. 160(3). S35–S35. 1 indexed citations
5.
Bukowska, Joanna, Stanley B. Smith, Rosalyn D. Abbott, et al.. (2020). Human Adipose Derived Cells in Two- and Three-Dimensional Cultures: Functional Validation of an In Vitro Fat Construct. Stem Cells International. 2020. 1–14. 23 indexed citations
6.
Aparasu, Rajender R., Kathleen M.K. Boje, Jennifer Danielson, et al.. (2019). Consideration of Aggressive and Strategic Approaches to Address Declining Enrollment in US Pharmacy Schools. American Journal of Pharmaceutical Education. 83(6). 6959–6959. 29 indexed citations
7.
Paller, Channing J., Thomas Luechtefeld, Holly A. Massett, et al.. (2019). Factors Affecting Combination Trial Success (FACTS): Investigator Survey Results on Early-Phase Combination Trials. Frontiers in Medicine. 6. 122–122. 10 indexed citations
8.
Llopis, Shawn D., et al.. (2018). Metformin Inhibits Migration and Invasion by Suppressing ROS Production and COX2 Expression in MDA-MB-231 Breast Cancer Cells. International Journal of Molecular Sciences. 19(11). 3692–3692. 42 indexed citations
9.
Trang, Nguyễn Thu, et al.. (2015). Protein Kinase CK2 Expression Predicts Relapse Survival in ERα Dependent Breast Cancer, and Modulates ERα Expression in Vitro. International Journal of Environmental Research and Public Health. 13(1). 36–36. 11 indexed citations
10.
Llopis, Shawn D., et al.. (2013). Dichotomous roles for the orphan nuclear receptor NURR1 in breast cancer. BMC Cancer. 13(1). 139–139. 31 indexed citations
11.
Williams, Christopher, et al.. (2013). Metformin Induces a Senescence-associated Gene Signature in Breast Cancer Cells. Journal of Health Care for the Poor and Underserved. 24(1A). 93–103. 21 indexed citations
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13.
Williams, Christopher, et al.. (2011). Abstract C85: ck2 inhibitors in luminal and basal-like breast cancer cells.. Molecular Cancer Therapeutics. 10(11_Supplement). C85–C85. 1 indexed citations
14.
15.
Majoros, István, Christopher Williams, & James R. Baker. (2008). Current Dendrimer Applications in Cancer Diagnosis and Therapy. Current Topics in Medicinal Chemistry. 8(14). 1165–1179. 96 indexed citations
16.
Douglass, Thomas G., Jian Gang Zhang, Neil Hoa, et al.. (2008). Macrophage colony stimulating factor: Not just for macrophages anymore! A gateway into complex biologies. International Immunopharmacology. 8(10). 1354–1376. 65 indexed citations
17.
18.
Jadus, Martin R., et al.. (1998). Macrophages Kill T9 Glioma Tumor Cells Bearing the Membrane Isoform of Macrophage Colony Stimulating Factor Through a Phagocytosis-Dependent Pathway. The Journal of Immunology. 160(1). 361–368. 34 indexed citations
19.
20.
Gruber, Marion F., Christopher Williams, & T L Gerrard. (1994). Macrophage-colony-stimulating factor expression by anti-CD45 stimulated human monocytes is transcriptionally up-regulated by IL-1 beta and inhibited by IL-4 and IL-10.. The Journal of Immunology. 152(3). 1354–1361. 44 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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