David J. Wiley

1.3k citations
18 papers · 906 · h-index 15

Impact in

    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions

Papers in

    • Fungal and yeast genetics research 9
    • Bacillus and Francisella bacterial research 3
    • RNA Research and Splicing 3
    • Cancer-related gene regulation 2
    • Plant Reproductive Biology 2
    • Microtubule and mitosis dynamics 7

David J. Wiley

18 papers receiving 896 citations

Peers

David J. Wiley
Comparison fields: 5 of 89
  • Cell Biology 433
  • Aging 18
  • Molecular Biology 705
  • Endocrinology 39
  • Genetics 103
Replace Evelyn Sattlegger with:
Evelyn Sattlegger New Zealand
Takuo Osawa Japan
Shaneen Singh United States
Olivier Vincent Spain
María Rosario Fernández‐Fernández Spain
Jomon Joseph India
Gilad Yaakov Israel
Cheng Wu United States
S Yarfitz United States
Jun Iwashita Japan
David J. Wiley relative to Evelyn Sattlegger New Zealand Evelyn Sattlegger's profile →
Citations per field
00.5×3.9×
Evelyn Sattlegger · 1×
Citations per year

Countries citing papers authored by David J. Wiley

Since Specialization
Citations

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

Fields of papers citing papers by David J. Wiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Wiley. 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 David J. Wiley. The network helps show where David J. Wiley may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998183
2 2012120
3 2012111
4 200775
5 200272
6 200966
7 200558
8 200649
9 201533
10 200326
11 201824
12 200920
13 201317
14 201616
15 200715
16 200810
17 20216
18 20205

About David J. Wiley

David J. Wiley is a scholar working on Molecular Biology, Cell Biology, Genetics, Endocrinology and Parasitology, having authored 18 papers that have together received 906 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Microtubule and mitosis dynamics (7 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Bacillus and Francisella bacterial research (3 papers), RNA Research and Splicing (3 papers), Cancer-related gene regulation (2 papers), Plant Reproductive Biology (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Cell Biology (433 citations), Aging (18 citations), Molecular Biology (705 citations), Endocrinology (39 citations) and Genetics (103 citations). David J. Wiley has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Fulvia Verde, Paul Nurse, Maitreyi Das, Kurt Schesser, Péter Buchwald, Niraj Shrestha, Dimitrios Vavylonis, Glen N. Barber, Kenneth A. Fields and Dannel McCollum. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, The EMBO Journal, Microbial Pathogenesis and Current Biology.

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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