Chris Williams
Impact in
-
- Cancer-related molecular mechanisms research
- Aquatic Science top 10%
- Fish Biology and Ecology Studies
Papers in
- Ecology 13
- Parasite Biology and Host Interactions 12
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- Fish Biology and Ecology Studies 5
- Co-authors
- Marc-Danie Nazaire (1 shared paper)Michael Reich (1 shared paper)Gad Getz (1 shared paper)David S. DeLuca (1 shared paper)Andrey Sivachenko (1 shared paper)Joshua Z. Levin (1 shared paper)Timothy R. Fennell (1 shared paper)Wendy Winckler (1 shared paper)
- Journals
- Biological Invasions (2 papers)Parasites & Vectors (2 papers)Ecology Of Freshwater Fish (2 papers)PLoS ONE (2 papers)International Journal for Parasitology (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Chris Williams
15 papers receiving 733 citations
Chris Williams's Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 138
- Aquatic Science 58
- Ecology 185
- Parasitology 41
- Immunology 109
Countries citing papers authored by Chris Williams
This map shows the geographic impact of Chris 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 Chris Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Williams more than expected).
Fields of papers citing papers by Chris Williams
This network shows the impact of papers produced by Chris 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 Chris Williams. The network helps show where Chris Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris 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 | RNA-SeQC: RNA-seq metrics for quality control and process optimization Hit paper breakdown → | 2012 | 501 |
| 2 | 2011 | 49 | |
| 3 | 2015 | 44 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 26 | |
| 6 | 2015 | 16 | |
| 7 | 2012 | 15 | |
| 8 | 2012 | 14 | |
| 9 | 2014 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2011 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2014 | 1 |
About Chris Williams
Chris Williams is a scholar working on Ecology, Aquatic Science, Cancer Research, Parasitology and Immunology, having authored 15 papers that have together received 743 indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (12 papers), Fish Biology and Ecology Studies (5 papers), Myxozoan Parasites in Aquatic Species (5 papers), Aquaculture disease management and microbiota (3 papers), Fish Ecology and Management Studies (2 papers), Bird parasitology and diseases (2 papers), Malaria Research and Control (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (138 citations), Aquatic Science (58 citations), Ecology (185 citations), Parasitology (41 citations) and Immunology (109 citations). Chris Williams has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Marc-Danie Nazaire, Michael Reich, Gad Getz, David S. DeLuca, Andrey Sivachenko, Joshua Z. Levin, Timothy R. Fennell, Wendy Winckler, J. Robert Britton and Josephine Pegg. Their work appears in journals such as Biological Invasions, Parasites & Vectors, Ecology Of Freshwater Fish, PLoS ONE and International Journal for Parasitology.
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.