Chris Seidel
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Fungal and yeast genetics research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Planarian Biology and Electrostimulation
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 21
- Fungal and yeast genetics research 11
- RNA Research and Splicing 9
- Planarian Biology and Electrostimulation 8
- DNA Repair Mechanisms 6
- Ubiquitin and proteasome pathways 5
-
- Plant Molecular Biology Research 5
- Co-authors
- Jerry L. Workman (8 shared papers)Madelaine Gogol (6 shared papers)Rong Li (5 shared papers)Alejandro Sánchez Alvarado (7 shared papers)Daeyoup Lee (2 shared papers)Jennifer L. Gerton (14 shared papers)Sean McKinney (7 shared papers)Bing Li (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (4 papers)PLoS Genetics (4 papers)eLife (4 papers)Cell (3 papers)Nature (3 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Chris Seidel
49 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.7k
- Aging 53
- Cell Biology 407
- Plant Science 692
- Paleontology 114
Countries citing papers authored by Chris Seidel
This map shows the geographic impact of Chris Seidel'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 Seidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Seidel more than expected).
Fields of papers citing papers by Chris Seidel
This network shows the impact of papers produced by Chris Seidel. 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 Seidel. The network helps show where Chris Seidel may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Seidel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 267 | |
| 2 | 2005 | 263 | |
| 3 | 2007 | 261 | |
| 4 | 2008 | 260 | |
| 5 | 2012 | 202 | |
| 6 | 2007 | 160 | |
| 7 | 2001 | 158 | |
| 8 | 2009 | 123 | |
| 9 | 2014 | 119 | |
| 10 | 2015 | 98 | |
| 11 | 2011 | 93 | |
| 12 | 2015 | 84 | |
| 13 | 2012 | 81 | |
| 14 | 2009 | 76 | |
| 15 | 2016 | 76 | |
| 16 | 2008 | 76 | |
| 17 | 2010 | 75 | |
| 18 | 2008 | 65 | |
| 19 | 2016 | 62 | |
| 20 | 2010 | 59 |
About Chris Seidel
Chris Seidel is a scholar working on Molecular Biology, Plant Science, Genetics, Global and Planetary Change and Cell Biology, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (21 papers), Fungal and yeast genetics research (11 papers), RNA Research and Splicing (9 papers), Planarian Biology and Electrostimulation (8 papers), DNA Repair Mechanisms (6 papers), Marine Ecology and Invasive Species (6 papers), Ubiquitin and proteasome pathways (5 papers) and Plant Molecular Biology Research (5 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Aging (53 citations), Cell Biology (407 citations), Plant Science (692 citations) and Paleontology (114 citations). Chris Seidel has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jerry L. Workman, Madelaine Gogol, Rong Li, Alejandro Sánchez Alvarado, Daeyoup Lee, Jennifer L. Gerton, Sean McKinney, Bing Li, Samantha G. Pattenden and William D. Bradford. Their work appears in journals such as Molecular & Cellular Proteomics, PLoS Genetics, eLife, Cell and Nature.
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.