Richard D. Williams

10.8k total citations · 1 hit paper
219 papers, 7.6k citations indexed

About

Richard D. Williams is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Richard D. Williams has authored 219 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 53 papers in Pulmonary and Respiratory Medicine and 40 papers in Surgery. Recurrent topics in Richard D. Williams's work include Renal and related cancers (27 papers), Neuroscience and Neuropharmacology Research (23 papers) and Bladder and Urothelial Cancer Treatments (23 papers). Richard D. Williams is often cited by papers focused on Renal and related cancers (27 papers), Neuroscience and Neuropharmacology Research (23 papers) and Bladder and Urothelial Cancer Treatments (23 papers). Richard D. Williams collaborates with scholars based in United States, United Kingdom and Netherlands. Richard D. Williams's co-authors include Rik Derynck, Axel Ullrich, David V. Goeddel, Jordan U. Gutterman, Timothy S. Bringman, P. Jeffrey Conn, Kathy Pritchard‐Jones, Craig W. Lindsley, Elwin E. Fraley and Gordon J Strewler and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Richard D. Williams

211 papers receiving 7.3k citations

Hit Papers

Synthesis of messenger RNAs for transforming growth facto... 1987 2026 2000 2013 1987 250 500 750

Peers

Richard D. Williams
Robin J. Leach United States
Qin Huang United States
Lawrence F. Brass United States
Seung‐Ki Kim South Korea
Robin J. Leach United States
Richard D. Williams
Citations per year, relative to Richard D. Williams Richard D. Williams (= 1×) peers Robin J. Leach

Countries citing papers authored by Richard D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Richard D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard D. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Williams. A scholar is included among the top collaborators of Richard D. 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 Richard D. Williams. Richard D. 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, Richard D., et al.. (2024). Towards imaging the immune state of cancer by PET: Targeting legumain with 11C-labeled P1-Asn peptidomimetics carrying a cyano-warhead. Nuclear Medicine and Biology. 138-139. 108951–108951. 2 indexed citations
2.
Sluis, Joyce van, Marjolijn N. Lub‐de Hooge, Adrienne H. Brouwers, et al.. (2024). 667P Phase I study to assess biodistribution of CB307, a trispecific Humabody targeting CD137, prostate-specific membrane antigen, and human serum albumin with 89Zr-CB307 PET. Annals of Oncology. 35. S524–S524.
3.
Burden, Roberta E., Ileana Micu, Richard D. Williams, et al.. (2022). USP17 is required for peripheral trafficking of lysosomes. EMBO Reports. 23(4). e51932–e51932. 11 indexed citations
4.
Brown, Ryan, Donna M. Small, Declan Doherty, et al.. (2021). Therapeutic Inhibition of Cathepsin S Reduces Inflammation and Mucus Plugging in Adult βENaC‐Tg Mice. Mediators of Inflammation. 2021(1). 6682657–6682657. 7 indexed citations
5.
Li, Ling, Whei F. Moriarty, David Lee, et al.. (2021). The epithelial splicing regulator ESRP2 is epigenetically repressed by DNA hypermethylation in Wilms tumour and acts as a tumour suppressor. Molecular Oncology. 16(3). 630–647. 5 indexed citations
6.
Mukherjee, Debayan, Rebecca E. Steele, Adam Pickard, et al.. (2020). Investigating Radiotherapy Response in a Novel Syngeneic Model of Prostate Cancer. Cancers. 12(10). 2804–2804. 8 indexed citations
7.
Stauffer, Shaun R., Jason Manka, Richard D. Williams, et al.. (2011). Allosteric Modulators of Metabotropic Glutamate Receptor 5 for Treatment of Schizophrenia. Research Portal (Queen's University Belfast). 1 indexed citations
8.
Williams, Richard D., Reem Al‐Saadi, Tasnim Chagtai, et al.. (2010). Subtype-Specific FBXW7 Mutation and MYCN Copy Number Gain in Wilms' Tumor. Clinical Cancer Research. 16(7). 2036–2045. 55 indexed citations
9.
Lubaroff, David M., et al.. (2009). Phase I Clinical Trial of an Adenovirus/Prostate-Specific Antigen Vaccine for Prostate Cancer: Safety and Immunologic Results. Clinical Cancer Research. 15(23). 7375–7380. 66 indexed citations
10.
Ayala, Jennifer, Yelin Chen, Jessica L. Banko, et al.. (2009). mGluR5 Positive Allosteric Modulators Facilitate both Hippocampal LTP and LTD and Enhance Spatial Learning. Neuropsychopharmacology. 34(9). 2057–2071. 177 indexed citations
11.
Williams, Richard D., Thomas G. Travison, Jonathan R. Kaltman, et al.. (2009). Abstract 2135: Decreased Functional Status and Ventricular Function in Fontan Patients With Pacemakers. Circulation. 120. 1 indexed citations
12.
Jones, Carrie K., Fangfang Xiang, Andrew K. Jones, et al.. (2008). Novel allosteric modulators of metabotropic glutamate receptors subtypes 2 and 5 for the treatment of schizophrenia. Neuropharmacology. 55. 603–603. 1 indexed citations
13.
Chen, Yunan, et al.. (2008). mGlur5 positive allosteric modulators facilitate both LTP and LTD induction in the rat hippocampal CA1 region. Neuropharmacology. 55. 586–586. 1 indexed citations
14.
Kote‐Jarai, Zsofia, Sarah Jugurnauth, L. Matthews, et al.. (2008). Accurate prediction of BRCA1 and BRCA2 heterozygous genotypes using expression profiling of lymphocytes after irradiation-induced DNA damage. Breast Cancer Research. 10(S2). 1 indexed citations
15.
Niswender, Colleen M., Richard D. Williams, Jennifer Ayala, et al.. (2006). Permissive antagonism induced by novel allosteric antagonists of metabotropic glutamate receptor 7. Neuropsychopharmacology. 31. 2 indexed citations
16.
Griffith, Thomas S., Richard D. Anderson, Beverly L. Davidson, Richard D. Williams, & Timothy L. Ratliff. (2000). Adenoviral-Mediated Transfer of the TNF-Related Apoptosis-Inducing Ligand/Apo-2 Ligand Gene Induces Tumor Cell Apoptosis. The Journal of Immunology. 165(5). 2886–2894. 164 indexed citations
17.
Hoppe, Andreas, Wen G. Jiang, David Wertheim, Richard D. Williams, & Keith G Harding. (1998). A system for computer analysis of cancer cell movement.. ORCA Online Research @Cardiff (Cardiff University). 18(4A). 2691–4. 4 indexed citations
18.
Petrovich, Zbigniew, Luc Baert, Malcolm A. Bagshaw, et al.. (1997). Adenocarcinoma of the Prostate: Innovations in Management. American Journal of Clinical Oncology. 20(2). 111–119. 20 indexed citations
19.
Williams, Richard D. & Peter R. Carroll. (1990). Treatment perspectives in urologic oncology. Pergamon Press eBooks. 7 indexed citations
20.
Williams, Richard D.. (1979). De sanitate urbanorum.. BMJ. 2(6205). 1617–1622.

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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