Bob Williamson

757 citations
23 papers · 542 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 2
    • Pluripotent Stem Cells Research 2
    • Machine Learning in Bioinformatics 1
    • Genomic variations and chromosomal abnormalities 2

Bob Williamson

21 papers receiving 514 citations

Peers

Bob Williamson
Comparison fields: 5 of 70
  • Immunology 126
  • Cellular and Molecular Neuroscience 103
  • Molecular Biology 256
  • Neurology 46
  • Genetics 84
Replace Marcia Lewis with:
Marcia Lewis United States
Patrick Amiguet Switzerland
Christophe Battail France
Nada Nekrep United States
N S Thomas United Kingdom
S. Fauré France
Efterpi Kardalinou Germany
Aleksandr V. Makeyev United States
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Citations per field
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Citations per year

Countries citing papers authored by Bob Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Bob Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bob Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bob Williamson Line = papers co-authored together Bob Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008121
2 199289
3 198486
4 199159
5 197740
6
Attitudes towards prenatal diagnosis and carrier screening for cystic fibrosis among the parents of patients in a paediatric cystic fibrosis clinic.
199229
7 199726
8 198220
9 198917
10 197814
11 200310
12 19806
13 19816
14 20016
15 19804
16 19952
17 19762
18 19781
19 19811
20
The Walter C. Randall Lecture: embryos, cloning people and stem cell research.
20051

About Bob Williamson

Bob Williamson is a scholar working on Molecular Biology, Genetics, Surgery, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 542 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (2 papers), RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Machine Learning in Bioinformatics (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Immunology (126 citations), Cellular and Molecular Neuroscience (103 citations), Molecular Biology (256 citations), Neurology (46 citations) and Genetics (84 citations). Bob Williamson has collaborated with scholars based in United Kingdom, Australia and South Africa. Frequent co-authors include Carol Wicking, Tiehui Wang, Christopher J. Secombes, Alexander F. Markham, Steve E. Humphries, D E Woods, Bertrand Collet, Steve Bird, Cédric Woudstra and James E. Rogers. Their work appears in journals such as Nature, Human Molecular Genetics, Fertility and Sterility, Biochemical Society Transactions and Journal of Biological Chemistry.

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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