Mark Mattingly
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in
-
- Genomics and Chromatin Dynamics 9
- DNA Repair Mechanisms 4
- Fungal and yeast genetics research 3
- RNA Research and Splicing 2
- Photosynthetic Processes and Mechanisms 1
-
- Chromosomal and Genetic Variations 6
- Plant Molecular Biology Research 2
- Co-authors
- Jennifer L. Gerton (10 shared papers)Manjunatha Shivaraju (4 shared papers)Jerry L. Workman (3 shared papers)Raymond Camahort (2 shared papers)Laurence Florens (4 shared papers)Swaminathan Venkatesh (2 shared papers)Skylar Martin‐Brown (1 shared paper)Shima Nakanishi (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Cell (2 papers)Current Biology (1 paper)PLoS Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mark Mattingly
11 papers receiving 459 citations
Peers
Comparison fields: 5 of 22
- Cell Biology 155
- Plant Science 305
- Molecular Biology 439
- Structural Biology 4
- Biophysics 13
Countries citing papers authored by Mark Mattingly
This map shows the geographic impact of Mark Mattingly'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 Mark Mattingly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Mattingly more than expected).
Fields of papers citing papers by Mark Mattingly
This network shows the impact of papers produced by Mark Mattingly. 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 Mark Mattingly. The network helps show where Mark Mattingly may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Mattingly, 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 | 2010 | 145 | |
| 2 | 2009 | 136 | |
| 3 | 2012 | 68 | |
| 4 | 2011 | 40 | |
| 5 | 2014 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 11 | |
| 9 | 2021 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2021 | 1 |
About Mark Mattingly
Mark Mattingly is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Infectious Diseases, having authored 11 papers that have together received 462 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Chromosomal and Genetic Variations (6 papers), DNA Repair Mechanisms (4 papers), Fungal and yeast genetics research (3 papers), Plant Molecular Biology Research (2 papers), RNA Research and Splicing (2 papers), Genetic Syndromes and Imprinting (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Cell Biology (155 citations), Plant Science (305 citations), Molecular Biology (439 citations), Structural Biology (4 citations) and Biophysics (13 citations). Mark Mattingly has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jennifer L. Gerton, Manjunatha Shivaraju, Jerry L. Workman, Raymond Camahort, Laurence Florens, Swaminathan Venkatesh, Skylar Martin‐Brown, Shima Nakanishi, Ali Shilatifard and Bing Li. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Current Biology, PLoS Genetics and Cell.
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.