Christopher McInerny

1.1k citations
40 papers · 701 · h-index 15

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Christopher McInerny

40 papers receiving 697 citations

Peers

Christopher McInerny
Comparison fields: 5 of 52
  • Cell Biology 254
  • Molecular Biology 615
  • Aging 7
  • Ecological Modeling 17
  • Plant Science 77
Replace Ping Hu with:
Ping Hu China
Alexis Matamoro‐Vidal France
Anna Kozarova Canada
Marija Matejčić Germany
Dorothea Schultheis Germany
Sean M. Burgess United States
Anita Abu‐Daya United Kingdom
Elisabetta Bucciarelli Italy
Kathleen N. Smith France
Christopher McInerny relative to Ping Hu China Ping Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher McInerny

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher McInerny Line = papers co-authored together Christopher McInerny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994125
2 1993105
3 200460
4 200234
5 201428
6 200327
7 201124
8 200723
9 199623
10 201020
11 200119
12 200618
13 200118
14 200318
15 201715
16 200414
17 201214
18 201113
19 201412
20 201212

About Christopher McInerny

Christopher McInerny is a scholar working on Cell Biology, Ecological Modeling, Molecular Biology, Ecology and Nature and Landscape Conservation, having authored 40 papers that have together received 701 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (24 papers), Microtubule and mitosis dynamics (14 papers), Genomics and Chromatin Dynamics (14 papers), Species Distribution and Climate Change (6 papers), DNA Repair Mechanisms (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 (254 citations), Molecular Biology (615 citations), Aging (7 citations), Ecological Modeling (17 citations) and Plant Science (77 citations). Christopher McInerny has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Peter A. Fantes, Colin Gordon, Mitsuhiro Yanagida, Takashi Sutani, James CREANOR, Yasushi Saka, Gwyn W. Gould, Kyriaki Papadopoulou, Stewart A. White and Paul Julian Kersey. Their work appears in journals such as Journal of Cell Science, Cell Cycle, Molecular Genetics and Genomics, Ibis and Current Genetics.

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.

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