Wade H. Dunham

4.1k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Wade H. Dunham is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Wade H. Dunham has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Spectroscopy. Recurrent topics in Wade H. Dunham's work include Ubiquitin and proteasome pathways (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). Wade H. Dunham is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). Wade H. Dunham collaborates with scholars based in Canada, United States and Singapore. Wade H. Dunham's co-authors include Anne‐Claude Gingras, Michael Mullin, James D.R. Knight, Stéphane Angers, Marc R. Fabian, Frank Sicheri, Amber L. Couzens, Ginny I. Chen, Halil Bagci and Quaid Morris and has published in prestigious journals such as Nature, Molecular Cell and Biochemical Pharmacology.

In The Last Decade

Wade H. Dunham

10 papers receiving 1.6k citations

Hit Papers

High-Density Proximity Mapping Reveals the Subcellular Or... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Wade H. Dunham
Comparison fields: 5 of 88
  • Molecular Biology 1.3k
  • Cell Biology 524
  • Immunology 147
  • Oncology 139
  • Spectroscopy 139
Replace Amber L. Couzens with:
Amber L. Couzens Canada
Daniel N. Itzhak Germany
Oscar Vadas Switzerland
Alexander W. Bird Germany
H. Christian Eberl Germany
Andreas P. Frei Switzerland
Jimi Wills United Kingdom
Denise M. Kenski United States
Fiona M. Townsley United Kingdom
Hsiangling Teo Singapore
Amber L. Couzens Canada View profile →
Citations per field, relative to Wade H. Dunham
Wade H. Dunham · 1×
Citations per year, relative to Wade H. Dunham
Wade H. Dunham · 1×

Countries citing papers authored by Wade H. Dunham

Since Specialization
Citations

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

Fields of papers citing papers by Wade H. Dunham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wade H. Dunham. 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 Wade H. Dunham. The network helps show where Wade H. Dunham may publish in the future.

Co-authorship network of co-authors of Wade H. Dunham

This figure shows the co-authorship network connecting the top 25 collaborators of Wade H. Dunham. A scholar is included among the top collaborators of Wade H. Dunham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wade H. Dunham. Wade H. Dunham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 0
3
High-Density Proximity Mapping Reveals the Subcellular Organization of mRNA-Associated Granules and Bodies breakdown →
510
4 5
5 25
6 68
7 132
8 217
9 359
10 245
11 26

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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