Mark S. Williams

4.2k total citations
82 papers, 3.3k citations indexed

About

Mark S. Williams is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mark S. Williams has authored 82 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 29 papers in Immunology and 11 papers in Oncology. Recurrent topics in Mark S. Williams's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers), Cell death mechanisms and regulation (9 papers) and Immune Response and Inflammation (8 papers). Mark S. Williams is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers), Cell death mechanisms and regulation (9 papers) and Immune Response and Inflammation (8 papers). Mark S. Williams collaborates with scholars based in United States, United Kingdom and France. Mark S. Williams's co-authors include Jaeyul Kwon, Satish Devadas, Pierre A. Henkart, Lígia A. Pinto, Sue Goo Rhee, Sharon H. Jackson, Larry W. Oberley, Yoichi Osawa, Charles Zacharchuk and Martha A. Alexander‐Miller and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Mark S. Williams

76 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Williams United States 29 1.6k 1.4k 411 395 289 82 3.3k
Angelita Rebollo France 34 1.9k 1.1× 938 0.7× 529 1.3× 280 0.7× 186 0.6× 109 3.5k
Geetha Srikrishna United States 22 1.7k 1.1× 1.6k 1.1× 396 1.0× 298 0.8× 201 0.7× 42 3.1k
Koen Vandenbroeck Spain 30 856 0.5× 1.2k 0.8× 462 1.1× 242 0.6× 178 0.6× 96 2.9k
Eleni Douni Greece 27 1.2k 0.7× 1.4k 1.0× 635 1.5× 465 1.2× 248 0.9× 58 3.2k
Satoshi Matsuda Japan 32 2.4k 1.4× 1.7k 1.2× 642 1.6× 443 1.1× 296 1.0× 72 5.0k
Andrea Rinaldi Italy 39 1.8k 1.1× 1.5k 1.1× 807 2.0× 363 0.9× 210 0.7× 190 5.1k
Hidehiro Fukuyama Japan 29 2.3k 1.4× 2.5k 1.8× 613 1.5× 341 0.9× 459 1.6× 46 4.9k
Kristopher Clark United Kingdom 24 1.4k 0.8× 990 0.7× 386 0.9× 434 1.1× 234 0.8× 42 3.1k

Countries citing papers authored by Mark S. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark S. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Williams. A scholar is included among the top collaborators of Mark S. 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 Mark S. Williams. Mark S. 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, Mark S.. (2024). Efficacy of Doxycycline and Ciprofloxacin for Treatment of Pneumonic Tularemia in Cynomolgus Macaques. Clinical Infectious Diseases. 78(Supplement_1). S7–S14. 2 indexed citations
2.
Williams, Mark S., Fabio M. R. Amaral, Gillian Williams, et al.. (2020). Targeted nanopore sequencing for the identification of ABCB1 promoter translocations in cancer. BMC Cancer. 20(1). 1075–1075. 7 indexed citations
3.
Brown, Sharron A.N., Emily H. Cheng, Mark S. Williams, & Jeffrey A. Winkles. (2013). TWEAK-Independent Fn14 Self-Association and NF-κB Activation Is Mediated by the C-Terminal Region of the Fn14 Cytoplasmic Domain. PLoS ONE. 8(6). e65248–e65248. 35 indexed citations
4.
Xu, Hui, Yaping Yan, Zichen Li, et al.. (2012). Anti-MS4a4B treatment abrogates MS4a4B-mediated protection in T cells and ameliorates experimental autoimmune encephalomyelitis (51.13). The Journal of Immunology. 188(1_Supplement). 51.13–51.13. 1 indexed citations
5.
Chen, Haiyan, Sarah M. Clark, Rong Yuan, et al.. (2011). Defective Hematopoietic Stem Cell and Lymphoid Progenitor Development in the Ts65Dn Mouse Model of Down Syndrome: Potential Role of Oxidative Stress. Antioxidants and Redox Signaling. 15(8). 2083–2094. 20 indexed citations
6.
Yu, Dan, Xinhua Zhan, X. Frank Zhao, et al.. (2011). Mice deficient in MIM expression are predisposed to lymphomagenesis. Oncogene. 31(30). 3561–3568. 27 indexed citations
7.
Bausch, Dirk, Stephanie Thomas, Mari Mino–Kenudson, et al.. (2010). Plectin-1 as a Novel Biomarker for Pancreatic Cancer. Clinical Cancer Research. 17(2). 302–309. 162 indexed citations
8.
Williams, Mark S., et al.. (2008). The Weaponization of Oil in the Messages of Osama Bin Laden. Journal of military and strategic studies. 10(2).
9.
Williams, Mark S.. (2007). Mandala and its significance in Magindanao Muslim society. e-publications@bond (Bond University).
10.
Moreno, José L., Christina M. Celluzzi, Achsah Keegan, & Mark S. Williams. (2007). High levels of ROS block the differentiation of human and mouse osteoclasts (100.5). The Journal of Immunology. 178(1_Supplement). S197–S197. 1 indexed citations
11.
Williams, Mark S. & Pierre A. Henkart. (2005). Do Cytotoxic Lymphocytes Kill via Reactive Oxygen Species?. Immunity. 22(3). 272–274. 4 indexed citations
12.
Williams, Mark S.. (2004). Skin Formulas Belong in a Bottle: North Carolina's Diversity Scholarships Are Unconstitutional under Grutter & Gratz. 26(2). 135. 1 indexed citations
14.
Davidson, Wendy F., Christian C. Haudenschild, Jaeyul Kwon, & Mark S. Williams. (2002). T Cell Receptor Ligation Triggers Novel Nonapoptotic Cell Death Pathways That Are Fas-Independent or Fas-Dependent. The Journal of Immunology. 169(11). 6218–6230. 35 indexed citations
15.
Li, Li, Xiulan Qi, Mark S. Williams, Yufang Shi, & Achsah Keegan. (2002). Overexpression of Insulin Receptor Substrate-1, But Not Insulin Receptor Substrate-2, Protects a T Cell Hybridoma from Activation-Induced Cell Death. The Journal of Immunology. 168(12). 6215–6223. 14 indexed citations
16.
Williams, Mark S., et al.. (1998). The Medical Demands of the Special Athlete. Clinical Journal of Sport Medicine. 8(1). 22–25. 7 indexed citations
17.
Williams, Mark S., et al.. (1997). Target Cell Lysis by CTL Granule Exocytosis Is Independent of ICE/Ced-3 Family Proteases. Immunity. 6(2). 209–215. 194 indexed citations
18.
Henkart, Pierre A., Mark S. Williams, Charles Zacharchuk, & Apurva Sarin. (1997). Do CTL kill target cells by inducing apoptosis?. Seminars in Immunology. 9(2). 135–144. 34 indexed citations
19.
Williams, Mark S. & William R. Mancini. (1994). Effect of 3'-amino-2',3'-dideoxycytidine on DNA replicative intermediates. Biochemical Pharmacology. 47(8). 1285–1294. 1 indexed citations
20.
Williams, Mark S.. (1991). The Use of Supervisory Control in Discovery Matters. The Mathematics Enthusiast. 52(2). 13. 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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