John R. Geiser

1.6k citations
15 papers · 1.5k · h-index 12

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Fungal and yeast genetics research
    • Photosynthetic Processes and Mechanisms
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Protist diversity and phylogeny
    • RNA Research and Splicing

Papers in

    • Fungal and yeast genetics research 7
    • Photosynthetic Processes and Mechanisms 5
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Signaling Pathways in Disease 1
    • Microtubule and mitosis dynamics 7

John R. Geiser

15 papers receiving 1.4k citations

Peers

John R. Geiser
Comparison fields: 5 of 79
  • Cell Biology 750
  • Molecular Biology 1.3k
  • Aging 25
  • Plant Science 204
  • Cellular and Molecular Neuroscience 87
Replace Dagmar Roth with:
Dagmar Roth Germany
Aliona Bogdanova Germany
Ilektra Kouranti France
Harald W. Platta Germany
Stevan Marcus United States
Robert D. C. Saunders United Kingdom
Yannick Gachet France
Eugene Futai Japan
Steffen Preißler United Kingdom
Anna Feoktistova United States
John R. Geiser relative to Dagmar Roth Germany Dagmar Roth's profile →
Citations per field
00.5×1.5×
Dagmar Roth · 1×
Citations per year

Countries citing papers authored by John R. Geiser

Since Specialization
Citations

This map shows the geographic impact of John R. Geiser'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 John R. Geiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Geiser more than expected).

Fields of papers citing papers by John R. Geiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Geiser. 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 John R. Geiser. The network helps show where John R. Geiser may publish in the future.

Co-authors

The 25 scholars most cited alongside John R. Geiser, 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 John R. Geiser Line = papers co-authored together John R. Geiser links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1991275
2 2003211
3 1991200
4 1997171
5 1993133
6 1998102
7 199694
8 199675
9 199761
10 199159
11 199348
12 200421
13 20055
14 20112
15 20031

About John R. Geiser

John R. Geiser is a scholar working on Molecular Biology, Cell Biology, Plant Science, Biomedical Engineering and Pathology and Forensic Medicine, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Microtubule and mitosis dynamics (7 papers), Photosynthetic Processes and Mechanisms (5 papers), RNA and protein synthesis mechanisms (2 papers), Biofuel production and bioconversion (2 papers), RNA modifications and cancer (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cell Biology (750 citations), Molecular Biology (1.3k citations), Aging (25 citations), Plant Science (204 citations) and Cellular and Molecular Neuroscience (87 citations). John R. Geiser has collaborated with scholars based in United States. Frequent co-authors include Trisha N. Davis, M. Andrew Hoyt, Susan E. Brockerhoff, Michael M. Neff, Diederik van Tuinen, James M. Pipas, Ira G. Wool, Bill H. Chang, Eric G. Muller and Holly Sundberg. Their work appears in journals such as Molecular and Cellular Biology, Molecular Biology of the Cell, Current Biology, Yeast and 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.

Explore authors with similar magnitude of impact