Mark Williams
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 7
- Biomedical Text Mining and Ontologies 6
- Bioinformatics and Genomic Networks 5
- Protein Structure and Dynamics 3
- Epigenetics and DNA Methylation 3
- Spectroscopy top 5%
- Cancer Research top 10%
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- Prenatal Screening and Diagnostics 5
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- Genetic Syndromes and Imprinting 4
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Kenneth HaugChristoph SteinbeckVenkata Chandrasekhar NainalaClaire O’DonovanKalai Vanii JayaseelanJanna HastingsPaula de MatosReza M. Salek
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Nucleic Acids Research (3 papers)Pediatric and Developmental Pathology (2 papers)
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
Mark Williams
30 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.8k
- Spectroscopy 287
- Complementary and alternative medicine 98
- Cancer Research 171
- Computational Theory and Mathematics 176
Countries citing papers authored by Mark Williams
This map shows the geographic impact of Mark 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 Mark Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Williams more than expected).
Fields of papers citing papers by Mark Williams
This network shows the impact of papers produced by Mark 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 Mark Williams. The network helps show where Mark Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 19 | |
| 2 | 2019 | 71 | |
| 3 | 2019 | 3 | |
| 4 | Does strike action increase trade union membership growth? | 2017 | 1 |
| 5 | 2017 | 18 | |
| 6 | 2017 | 97 | |
| 7 | 2017 | 18 | |
| 8 | 2014 | 9 | |
| 9 | MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-databreakdown → | 2012 | 464 |
| 10 | 2012 | 59 | |
| 11 | 2012 | 14 | |
| 12 | The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013breakdown → | 2012 | 419 |
| 13 | 2012 | 38 | |
| 14 | 2003 | 130 | |
| 15 | 2002 | 127 | |
| 16 | 2001 | 21 | |
| 17 | 2001 | 32 | |
| 18 | 1999 | 29 | |
| 19 | 1999 | 65 | |
| 20 | 1999 | 27 |
About Mark Williams
Mark Williams is a scholar working on Transplantation, Genetics, Pediatrics, Perinatology and Child Health, Public Administration and Molecular Biology, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Biomedical Text Mining and Ontologies (6 papers), Prenatal Screening and Diagnostics (5 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Syndromes and Imprinting (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Protein Structure and Dynamics (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Spectroscopy (287 citations), Complementary and alternative medicine (98 citations), Cancer Research (171 citations) and Computational Theory and Mathematics (176 citations). Mark Williams has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Kenneth Haug, Christoph Steinbeck, Venkata Chandrasekhar Nainala, Claire O’Donovan, Kalai Vanii Jayaseelan, Janna Hastings, Paula de Matos, Reza M. Salek, Pablo Conesa and Philippe Rocca‐Serra. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Pediatric and Developmental Pathology, Pathology and Database.
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.