Alexander G. Williams
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Cancer-related molecular mechanisms research 2
-
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- John A. Capra (2 shared papers)Katherine S. Pollard (1 shared paper)Sean Thomas (1 shared paper)Stacia K. Wyman (1 shared paper)Alisha K. Holloway (1 shared paper)Richard Bourgon (1 shared paper)Suchit Jhunjhunwala (1 shared paper)Matthew L. Albert (1 shared paper)
- Journals
- Current Protocols in Human Genetics (1 paper)Nature Immunology (1 paper)Neuroinformatics (1 paper)Bioinformatics (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Alexander G. Williams
11 papers receiving 585 citations
Peers
Comparison fields: 5 of 98
- Neurology 90
- Immunology 109
- Molecular Biology 291
- Developmental Neuroscience 16
- Cancer Research 52
Countries citing papers authored by Alexander G. Williams
This map shows the geographic impact of Alexander G. 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 Alexander G. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander G. Williams more than expected).
Fields of papers citing papers by Alexander G. Williams
This network shows the impact of papers produced by Alexander G. 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 Alexander G. Williams. The network helps show where Alexander G. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander G. 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 | 2019 | 181 | |
| 2 | 2020 | 166 | |
| 3 | 2014 | 75 | |
| 4 | 2012 | 61 | |
| 5 | 2003 | 43 | |
| 6 | 2020 | 32 | |
| 7 | 2016 | 17 | |
| 8 | 2017 | 10 | |
| 9 | 2011 | 6 | |
| 10 | 2020 | 5 | |
| 11 | Bridging the gap. Bringing new antiretroviral medications into the clinic. | 1999 | 1 |
| 12 | 2004 | 0 |
About Alexander G. Williams
Alexander G. Williams is a scholar working on Cancer Research, Molecular Biology, Biological Psychiatry, Biophysics and Oncology, having authored 12 papers that have together received 597 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers), Cancer-related molecular mechanisms research (2 papers), COVID-19 and healthcare impacts (2 papers), Tryptophan and brain disorders (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Neurology (90 citations), Immunology (109 citations), Molecular Biology (291 citations), Developmental Neuroscience (16 citations) and Cancer Research (52 citations). Alexander G. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John A. Capra, Katherine S. Pollard, Sean Thomas, Stacia K. Wyman, Alisha K. Holloway, Richard Bourgon, Suchit Jhunjhunwala, Matthew L. Albert, Haiyin Chen‐Harris and Steve Lianoglou. Their work appears in journals such as Current Protocols in Human Genetics, Nature Immunology, Neuroinformatics, Bioinformatics and Molecular BioSystems.
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.