Amanda M. Williams

626 total citations
19 papers, 346 citations indexed

About

Amanda M. Williams is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Amanda M. Williams has authored 19 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Amanda M. Williams's work include Immune Cell Function and Interaction (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and T-cell and B-cell Immunology (3 papers). Amanda M. Williams is often cited by papers focused on Immune Cell Function and Interaction (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and T-cell and B-cell Immunology (3 papers). Amanda M. Williams collaborates with scholars based in United States, United Kingdom and Sweden. Amanda M. Williams's co-authors include C Probert, P W Bland, Trevor Brooklyn, M. G. S. Dunnill, Renáta Štëpánková, Helena Tlaskalová‐Hogenová, Olivier Lichtarge, Panagiotis Katsonis, M.C. Lucy and D. H. Keisler and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Amanda M. Williams

19 papers receiving 333 citations

Peers

Amanda M. Williams

GENET

IMMUN

EPIDE

ACS

H.A. Fawcett United Kingdom

Izabela Chudzicka-Strugała Poland

M A Blaton France

M.A. Kerr United Kingdom

Piotr Brzeziński Romania

Stephan Koelsch Germany

Kankanam Gamage Sanath Udayanga Japan

Megumi Murata Japan

J Sanderson United Kingdom

Jingjing Bao China

H.A. Fawcett United Kingdom

Amanda M. Williams

66 ×0.6

79 ×0.8

GENET

30 ×0.4

IMMUN

38 ×0.5

EPIDE

16 ×0.3

ACS

Citations per year, relative to Amanda M. Williams Amanda M. Williams (= 1×) peers H.A. Fawcett

Countries citing papers authored by Amanda M. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Amanda M. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda M. Williams. A scholar is included among the top collaborators of Amanda M. 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 Amanda M. Williams. Amanda M. 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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19 of 19 papers shown

Panescu, Jenny, Michael G. Sovic, Amanda M. Williams, et al.. (2024). Identification of SARS-CoV-2 variants in indoor dust. PLoS ONE. 19(2). e0297172–e0297172. 2 indexed citations

Williams, Amanda M., Najmus Mahfooz, Leona W. Ayers, et al.. (2023). The emergence of SARS-CoV-2 lineages and associated saliva antibody responses among asymptomatic individuals in a large university community. PLoS Pathogens. 19(8). e1011596–e1011596. 3 indexed citations

Katsonis, Panagiotis, et al.. (2022). Genome interpretation using in silico predictors of variant impact. Human Genetics. 141(10). 1549–1577. 36 indexed citations

Wang, Chen, David C. Marciano, Amanda M. Williams, et al.. (2021). Identification of evolutionarily stable functional and immunogenic sites across the SARS-CoV-2 proteome and greater coronavirus family. Bioinformatics. 37(22). 4033–4040. 7 indexed citations

Reddy, Vishruth K., Mukul K. Mittal, Amanda M. Williams, et al.. (2015). Transcriptional corepressor MTG16 regulates small intestinal crypt proliferation and crypt regeneration after radiation-induced injury. American Journal of Physiology-Gastrointestinal and Liver Physiology. 308(6). G562–G571. 18 indexed citations

Lucy, M.C., et al.. (2012). Short communication: Glucose and fructose concentrations and expression of glucose transporters in 4- to 6-week pregnancies collected from Holstein cows that were either lactating or not lactating. Journal of Dairy Science. 95(9). 5095–5101. 19 indexed citations

Meyer, Joseph P., et al.. (2012). Pregnancy development from day 28 to 42 of gestation in postpartum Holstein cows that were either milked (lactating) or not milked (not lactating) after calving. Reproduction. 143(5). 699–711. 36 indexed citations

Cooper, Mark S., Adrian Sayers, William D. Fraser, et al.. (2011). Can 11β-Hydroxysteroid Dehydrogenase Activity Predict the Sensitivity of Bone to Therapeutic Glucocorticoids in Inflammatory Bowel Disease?. Calcified Tissue International. 89(3). 246–251. 10 indexed citations

Williams, Amanda M., et al.. (2011). Expression of the MicroRNAs let-7a and miR-15b in the Porcine Testis from the Neonatal Stage to Sexual Maturity.. Biology of Reproduction. 85(Suppl_1). 388–388. 1 indexed citations

10.

Sayers, Adrian, William D. Fraser, Amanda M. Williams, et al.. (2010). IL-6 May Modulate the Skeletal Response to Glucocorticoids During Exacerbations of Inflammatory Bowel Disease. Calcified Tissue International. 86(5). 375–381. 6 indexed citations

11.

Eichen, P. A., et al.. (2008). Heat Stress Effects on Sow Reproductive Performance Using Simulated Forced Air and Evaporative Cooling Systems. 5 indexed citations

12.

Brooklyn, Trevor, Amanda M. Williams, M. G. S. Dunnill, & C Probert. (2007). T-cell receptor repertoire in pyoderma gangrenosum: evidence for clonal expansions and trafficking. British Journal of Dermatology. 157(5). 960–966. 55 indexed citations

13.

Williams, Amanda M., et al.. (2006). Effects of microflora on the neonatal development of gut mucosal T cells and myeloid cells in the mouse. Immunology. 119(4). 470–478. 72 indexed citations

14.

Probert, C, et al.. (2006). The effect of weaning on the clonality of αβ T-cell receptor T cells in the intestine of GF and SPF mice. Developmental & Comparative Immunology. 31(6). 606–617. 12 indexed citations

15.

Williams, Amanda M., P W Bland, Trevor Brooklyn, et al.. (2004). Intestinal αβ T Cells Differentiate and Rearrange Antigen Receptor Genes In Situ in the Human Infant. The Journal of Immunology. 173(12). 7190–7199. 29 indexed citations

16.

Whiting, Christine V., Amanda M. Williams, Mogens H. Claësson, et al.. (2001). Transforming Growth Factor-β Messenger RNA and Protein in Murine Colitis. Journal of Histochemistry & Cytochemistry. 49(6). 727–738. 9 indexed citations

17.

Williams, Amanda M., Christine V. Whiting, Kerstin Bonhagen, et al.. (1999). Tumour necrosis factor-alpha (TNF-α) transcription and translation in the CD4+ T cell-transplanted scid mouse model of colitis. Clinical & Experimental Immunology. 116(3). 415–424. 11 indexed citations

18.

Sobel, Raymond A., et al.. (1987). Anti-T cell monoclonal antibodies in vivo. II. Modulation of acute and chronic experimental allergic encephalomyelitis (EAE) in guinea pigs.. The Journal of Immunology. 138(8). 2507–2513. 6 indexed citations

19.

Sobel, Raymond A., et al.. (1987). Anti-T cell monoclonal antibodies in vivo. I. Inhibition of delayed hypersensitivity but not cutaneous basophil hypersensitivity reactions.. The Journal of Immunology. 138(8). 2500–2506. 9 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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