Nigel Williams

4.0k total citations
14 papers, 275 citations indexed

About

Nigel Williams is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Nigel Williams has authored 14 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 1 paper in Surgery. Recurrent topics in Nigel Williams's work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Biotechnology and Related Fields (3 papers) and CRISPR and Genetic Engineering (1 paper). Nigel Williams is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (4 papers), Biotechnology and Related Fields (3 papers) and CRISPR and Genetic Engineering (1 paper). Nigel Williams collaborates with scholars based in United Kingdom, Sweden and Italy. Nigel Williams's co-authors include Katherine A. Grosset, David J. Burn, Huw R. Morris, Michael Lawton, Naveed Malek, John Hardy, Donald G. Grosset, Manuela Tan, Rimona S. Weil and Yoav Ben‐Shlomo and has published in prestigious journals such as Science, Current Biology and Biological Psychiatry.

In The Last Decade

Nigel Williams

13 papers receiving 266 citations

Peers

Nigel Williams

MB

NEURO

PHYSI

GENET

PMH

Frank Sieg Germany

Umesh Gangishetti United States

Denis Larrivée United States

Nicholas O. Jensen United States

Thomas A. Ravenscroft United States

James Uphill United Kingdom

Kärt Varendi Finland

Tsubasa Kimata Japan

Daniel Menezes Guimarães Brazil

Michelle Robinson United Kingdom

Frank Sieg Germany

Nigel Williams

210 ×2.3

MB

32 ×0.4

NEURO

22 ×0.3

PHYSI

53 ×0.9

GENET

28 ×0.7

PMH

Citations per year, relative to Nigel Williams Nigel Williams (= 1×) peers Frank Sieg

Countries citing papers authored by Nigel Williams

Since Specialization

Citations

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

Fields of papers citing papers by Nigel Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Williams. A scholar is included among the top collaborators of Nigel 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 Nigel Williams. Nigel 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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14 of 14 papers shown

1.

Hanna, Stephanie, Terri C. Thayer, Nigel Williams, et al.. (2023). Single-cell RNAseq identifies clonally expanded antigen-specific T-cells following intradermal injection of gold nanoparticles loaded with diabetes autoantigen in humans. Frontiers in Immunology. 14. 1276255–1276255. 9 indexed citations

2.

Malek, Naveed, Rimona S. Weil, Michael Lawton, et al.. (2018). Features of GBA-associated Parkinson’s disease at presentation in the UK Tracking Parkinson’s study. Journal of Neurology Neurosurgery & Psychiatry. 89(7). 702–709. 90 indexed citations

3.

Raybould, Rachel, Elaine Green, Stuart MacGregor, et al.. (2005). Bipolar disorder and polymorphisms in the dysbindin gene (DTNBP1). Biological Psychiatry. 57(7). 696–701. 77 indexed citations

4.

Williams, Nigel. (2003). Gene passport prospects raise concerns. Current Biology. 13(7). R255–R255. 1 indexed citations

5.

Williams, Nigel. (2001). Concerns mount over genetics and insurance. Current Biology. 11(10). R375–R376. 1 indexed citations

6.

Williams, Nigel. (1998). The Mediterranean Beckons to Europe's Oceanographers. Science. 279(5350). 483–484. 24 indexed citations

7.

Williams, Nigel. (1998). Genome of TB Culprit Deciphered. Science. 279(5347). 25–25. 4 indexed citations

8.

Williams, Nigel. (1997). Drug Firms Back Move to Link Databases. Science. 277(5328). 902–902. 2 indexed citations

9.

Williams, Nigel. (1997). How to Get Databases Talking the Same Language. Science. 275(5298). 301–302. 21 indexed citations

10.

Williams, Nigel. (1997). Drug Companies Decline to Collaborate. Science. 278(5344). 1704–1704. 3 indexed citations

11.

Williams, Nigel. (1996). Unique Protein Database Imperiled. Science. 272(5264). 946–946. 1 indexed citations

12.

Williams, Nigel. (1996). Yeast Genome Sequence Ferments New Research. Science. 272(5261). 481–481. 27 indexed citations

13.

Williams, Nigel. (1995). Closing in on the Complete Yeast Genome Sequence. Science. 268(5217). 1560–1561. 14 indexed citations

14.

Williams, Nigel. (1995). Europe Opens Institute to Deal With Gene Data Deluge. Science. 269(5224). 630–630. 1 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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