Russell Williams

544 total citations
8 papers, 418 citations indexed

About

Russell Williams is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Russell Williams has authored 8 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Russell Williams's work include RNA modifications and cancer (1 paper), Signaling Pathways in Disease (1 paper) and Estrogen and related hormone effects (1 paper). Russell Williams is often cited by papers focused on RNA modifications and cancer (1 paper), Signaling Pathways in Disease (1 paper) and Estrogen and related hormone effects (1 paper). Russell Williams collaborates with scholars based in United States and United Kingdom. Russell Williams's co-authors include Norman H. Lee, Heather Gordish‐Dressman, Yetrib Hathout, Tobey J. MacDonald, Reuben Lotan, Dov Kadmon, Moshe Shalev, Yair Lotan, Jeff Johnson and Carrie D. House and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Russell Williams

8 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Russell Williams United States	8	273	107	56	56	50	8	418
Yakun Liu China	13	325 1.2×	128 1.2×	34 0.6×	46 0.8×	31 0.6×	36	443
Svetlana Baranovskaya United States	9	288 1.1×	89 0.8×	63 1.1×	45 0.8×	78 1.6×	10	492
Annalisa Morano Italy	11	376 1.4×	108 1.0×	33 0.6×	49 0.9×	60 1.2×	14	545
Douglas C. Miller United States	9	310 1.1×	116 1.1×	48 0.9×	41 0.7×	61 1.2×	14	456
Roland M. Huber Switzerland	9	285 1.0×	78 0.7×	45 0.8×	24 0.4×	67 1.3×	9	453
Grigorios Paliouras Canada	7	319 1.2×	78 0.7×	56 1.0×	28 0.5×	67 1.3×	7	474
Hea Nam Hong South Korea	13	217 0.8×	56 0.5×	66 1.2×	25 0.4×	59 1.2×	24	434
Ronghu Ke China	14	381 1.4×	178 1.7×	23 0.4×	43 0.8×	57 1.1×	27	526
Yasunari Yamanaka Japan	9	221 0.8×	93 0.9×	28 0.5×	25 0.4×	33 0.7×	14	320
Yoon Sing Yap United States	6	575 2.1×	125 1.2×	72 1.3×	82 1.5×	43 0.9×	9	732

Countries citing papers authored by Russell Williams

Since Specialization

Citations

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

Fields of papers citing papers by Russell Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Williams

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

All Works

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8 of 8 papers shown

Wang, Mingyi, Wen Luo, Kristine Jones, et al.. (2020). SomaticCombiner: improving the performance of somatic variant calling based on evaluation tests and a consensus approach. Scientific Reports. 10(1). 12898–12898. 24 indexed citations

Johnson, Jeff, Daniel L. Miller, Rong Jiang, et al.. (2016). Protease-activated Receptor-2 (PAR-2)-mediated Nf-κB Activation Suppresses Inflammation-associated Tumor Suppressor MicroRNAs in Oral Squamous Cell Carcinoma. Journal of Biological Chemistry. 291(13). 6936–6945. 45 indexed citations

House, Carrie D., Bi‐Dar Wang, Russell Williams, et al.. (2015). Voltage-gated Na+ Channel Activity Increases Colon Cancer Transcriptional Activity and Invasion Via Persistent MAPK Signaling. Scientific Reports. 5(1). 11541–11541. 72 indexed citations

Miller, Daniel L., J. Wade Davis, Kristen H. Taylor, et al.. (2015). Identification of a Human Papillomavirus–Associated Oncogenic miRNA Panel in Human Oropharyngeal Squamous Cell Carcinoma Validated by Bioinformatics Analysis of The Cancer Genome Atlas. American Journal Of Pathology. 185(3). 679–692. 42 indexed citations

Williams, Russell, et al.. (2011). Secretome Signature of Invasive Glioblastoma Multiforme. Journal of Proteome Research. 10(7). 3149–3159. 106 indexed citations

Krilov, Lada, Teruo Miyazaki, Cecilia G. Unson, et al.. (2011). Dual Mode of glucagon receptor internalization: Role of PKCα, GRKs and β-arrestins. Experimental Cell Research. 317(20). 2981–2994. 28 indexed citations

Tapocik, Jenica D., Noah Letwin, Cheryl L. Mayo, et al.. (2009). Identification of Candidate Genes and Gene Networks Specifically Associated with Analgesic Tolerance to Morphine. Journal of Neuroscience. 29(16). 5295–5307. 28 indexed citations

Lotan, Yair, Xiao Xu, Moshe Shalev, et al.. (2000). Differential Expression of Nuclear Retinoid Receptors in Normal and Malignant Prostates. Journal of Clinical Oncology. 18(1). 116–116. 73 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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