Christopher McInerny
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
-
- Fungal and yeast genetics research 23
- Genomics and Chromatin Dynamics 14
- DNA Repair Mechanisms 6
- Bioinformatics and Genomic Networks 3
- Cell Biology 15
- Microtubule and mitosis dynamics 14
- Cellular transport and secretion 5
- Co-authors
- Peter A. Fantes (5 shared papers)Glen Mikesell (1 shared paper)Linda Breeden (1 shared paper)Janet F. Partridge (1 shared paper)Colin Gordon (2 shared papers)Yasushi Saka (1 shared paper)Mitsuhiro Yanagida (1 shared paper)J. Creanor (1 shared paper)
- Journals
- Journal of Cell Science (5 papers)Cell Cycle (4 papers)Molecular Genetics and Genomics (3 papers)Ibis (3 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
Christopher McInerny
40 papers receiving 845 citations
Peers
Comparison fields: 5 of 52
- Cell Biology 289
- Molecular Biology 764
- Aging 11
- Ecological Modeling 17
- Plant Science 92
Countries citing papers authored by Christopher McInerny
This map shows the geographic impact of Christopher McInerny'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 McInerny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher McInerny more than expected).
Fields of papers citing papers by Christopher McInerny
This network shows the impact of papers produced by Christopher McInerny. 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 McInerny. The network helps show where Christopher McInerny may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher McInerny, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 171 | |
| 2 | 1994 | 126 | |
| 3 | 1993 | 107 | |
| 4 | 2004 | 59 | |
| 5 | 2002 | 35 | |
| 6 | 2014 | 25 | |
| 7 | 1996 | 24 | |
| 8 | 2003 | 23 | |
| 9 | 2007 | 22 | |
| 10 | 2011 | 22 | |
| 11 | 2010 | 20 | |
| 12 | 2001 | 19 | |
| 13 | 2001 | 17 | |
| 14 | 2006 | 17 | |
| 15 | 2003 | 15 | |
| 16 | 2012 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2004 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2003 | 12 |
About Christopher McInerny
Christopher McInerny is a scholar working on Molecular Biology, Cell Biology, Ecology, Ecological Modeling and Genetics, having authored 40 papers that have together received 852 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (23 papers), Microtubule and mitosis dynamics (14 papers), Genomics and Chromatin Dynamics (14 papers), DNA Repair Mechanisms (6 papers), Species Distribution and Climate Change (6 papers), Cellular transport and secretion (5 papers), Wildlife Ecology and Conservation (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cell Biology (289 citations), Molecular Biology (764 citations), Aging (11 citations), Ecological Modeling (17 citations) and Plant Science (92 citations). Christopher McInerny has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Peter A. Fantes, Glen Mikesell, Linda Breeden, Janet F. Partridge, Colin Gordon, Yasushi Saka, Mitsuhiro Yanagida, J. Creanor, Takashi Sutani and Kyriaki Papadopoulou. Their work appears in journals such as Journal of Cell Science, Cell Cycle, Molecular Genetics and Genomics, Ibis and PLoS ONE.
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.