Stephen Diener

721 citations
7 papers · 542 · h-index 7

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Fungal and yeast genetics research 3
    • Bioinformatics and Genomic Networks 2
    • RNA and protein synthesis mechanisms 2
    • Gene expression and cancer classification 2
    • Biofuel production and bioconversion 3

Stephen Diener

7 papers receiving 517 citations

Peers

Stephen Diener
Comparison fields: 5 of 51
  • Biotechnology 157
  • Biomedical Engineering 303
  • Plant Science 234
  • Molecular Biology 355
  • Cell Biology 65
Replace Rob Joosten with:
Rob Joosten Netherlands
Doug Brown United States
Elina Salminen Finland
Eini Nyyssönen United States
Maija‐Leena Onnela Finland
Lars André Sweden
Laetitia Poidevin France
Keith R. Sharrock New Zealand
Xianli Xue China
Igor Nikolaev France
Stephen Diener relative to Rob Joosten Netherlands Rob Joosten's profile →
Citations per field
00.5×1.5×
Rob Joosten · 1×
Citations per year

Countries citing papers authored by Stephen Diener

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Diener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Diener. 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 Stephen Diener. The network helps show where Stephen Diener may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2003363
2 200674
3 201543
4 200519
5 200318
6 200417
7 20058

About Stephen Diener

Stephen Diener is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Ecology and Cell Biology, having authored 7 papers that have together received 542 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Biofuel production and bioconversion (3 papers), Fungal and yeast genetics research (3 papers), Bioinformatics and Genomic Networks (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (2 papers), Parasite Biology and Host Interactions (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Biotechnology (157 citations), Biomedical Engineering (303 citations), Plant Science (234 citations), Molecular Biology (355 citations) and Cell Biology (65 citations). Stephen Diener has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ralph A. Dean, Thomas K. Mitchell, Nigel Dunn-Coleman, Michael P. Ward, Lydia Dankmeyer, Pamela K. Foreman, Pauline J. M. Teunissen, Jian Yao, Colin Mitchinson and Doug Brown. Their work appears in journals such as BMC Bioinformatics, Genome biology, Nematology, Journal of Biological Chemistry and Fungal Genetics and 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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