Christopher J. Webb
Impact in
- Aging top 10%
-
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 7
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 4
- RNA regulation and disease 3
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
-
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Virginia A. Zakian (7 shared papers)Jo Ann Wise (5 shared papers)Charles Romfo (4 shared papers)Karin R. McDonald (2 shared papers)Nasim Sabouri (2 shared papers)Willem J. van Heeckeren (3 shared papers)Ileana M. Cristea (1 shared paper)Consuelo J. Alvarez (2 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Genes & Development (3 papers)Molecular Biology of the Cell (1 paper)Nature Structural & Molecular Biology (1 paper)Yeast (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Christopher J. Webb
13 papers receiving 425 citations
Peers
Comparison fields: 5 of 41
- Aging 36
- Molecular Biology 398
- Physiology 125
- Plant Science 71
- Cell Biology 27
Countries citing papers authored by Christopher J. Webb
This map shows the geographic impact of Christopher J. Webb'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 J. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Webb more than expected).
Fields of papers citing papers by Christopher J. Webb
This network shows the impact of papers produced by Christopher J. Webb. 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 J. Webb. The network helps show where Christopher J. Webb may publish in the future.
Co-authors
The 10 scholars most cited alongside Christopher J. Webb, 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 | 2007 | 90 | |
| 2 | 2012 | 83 | |
| 3 | 2000 | 72 | |
| 4 | 2004 | 35 | |
| 5 | 2012 | 33 | |
| 6 | 2004 | 32 | |
| 7 | 2014 | 29 | |
| 8 | 2016 | 17 | |
| 9 | 2015 | 14 | |
| 10 | 2004 | 12 | |
| 11 | 2000 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2015 | 1 |
About Christopher J. Webb
Christopher J. Webb is a scholar working on Molecular Biology, Physiology, Genetics, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Telomeres, Telomerase, and Senescence (5 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), RNA regulation and disease (3 papers), DNA Repair Mechanisms (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Aging (36 citations), Molecular Biology (398 citations), Physiology (125 citations), Plant Science (71 citations) and Cell Biology (27 citations). Christopher J. Webb has collaborated with scholars based in United States and Sweden. Frequent co-authors include Virginia A. Zakian, Jo Ann Wise, Charles Romfo, Karin R. McDonald, Nasim Sabouri, Willem J. van Heeckeren, Ileana M. Cristea, Consuelo J. Alvarez, Steven F. EauClaire and Sujata Lakhe-Reddy. Their work appears in journals such as Molecular and Cellular Biology, Genes & Development, Molecular Biology of the Cell, Nature Structural & Molecular Biology and Yeast.
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.