Christopher C. Williams
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Oncology 6
- HER2/EGFR in Cancer Research 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Jonathan S. Weissman (3 shared papers)Calvin H. Jan (2 shared papers)Frank E. Jones (3 shared papers)Luis Marrero (2 shared papers)Adam Frost (1 shared paper)Peter Shen (1 shared paper)Toshifumi Inada (1 shared paper)Jimena Weibezahn (1 shared paper)
- Journals
- Science (2 papers)Molecular Therapy (1 paper)The Journal of Cell Biology (1 paper)Cancer Research (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Christopher C. Williams
15 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 382
- Molecular Biology 1.5k
- Aging 34
- Oncology 355
- Immunology and Allergy 53
Countries citing papers authored by Christopher C. Williams
This map shows the geographic impact of Christopher C. 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 Christopher C. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher C. Williams more than expected).
Fields of papers citing papers by Christopher C. Williams
This network shows the impact of papers produced by Christopher C. 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 Christopher C. Williams. The network helps show where Christopher C. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher C. 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 | 2012 | 485 | |
| 2 | 2014 | 313 | |
| 3 | 2014 | 296 | |
| 4 | 2004 | 213 | |
| 5 | 2006 | 117 | |
| 6 | 2012 | 116 | |
| 7 | 2020 | 108 | |
| 8 | 2013 | 51 | |
| 9 | 2005 | 40 | |
| 10 | 2001 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 1999 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2001 | 3 | |
| 15 | 2005 | 1 |
About Christopher C. Williams
Christopher C. Williams is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Pharmacology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), HER2/EGFR in Cancer Research (4 papers), RNA Research and Splicing (4 papers), Estrogen and related hormone effects (3 papers), Immune cells in cancer (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cell Biology (382 citations), Molecular Biology (1.5k citations), Aging (34 citations), Oncology (355 citations) and Immunology and Allergy (53 citations). Christopher C. Williams has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Jonathan S. Weissman, Calvin H. Jan, Frank E. Jones, Luis Marrero, Adam Frost, Peter Shen, Toshifumi Inada, Jimena Weibezahn, Adam G. Larson and Jacob Stewart-Ornstein. Their work appears in journals such as Science, Molecular Therapy, The Journal of Cell Biology, Cancer Research and Endocrinology.
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.