Devin L. Wakefield

625 citations
27 papers · 383 · h-index 12

Impact in

Papers in

Devin L. Wakefield

27 papers receiving 376 citations

Peers

Devin L. Wakefield
Comparison fields: 5 of 69
  • Structural Biology 14
  • Biophysics 42
  • Immunology and Allergy 23
  • Cancer Research 47
  • Molecular Biology 222
Replace Irmeli Barkefors with:
Irmeli Barkefors Sweden
Kazuaki Sawada Japan
Bradley T. Schmidt United States
Jonathan Luisi United States
Anuradha Soundararajan United States
Nicolas Schierbaum Germany
Andrew Rachlin United States
Hendrik A. Messal Netherlands
Ethan N. Chiang United States
Jungyoon Choi South Korea
Devin L. Wakefield relative to Irmeli Barkefors Sweden Irmeli Barkefors's profile →
Citations per field
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Irmeli Barkefors · 1×
Citations per year

Countries citing papers authored by Devin L. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by Devin L. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin L. Wakefield. 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 Devin L. Wakefield. The network helps show where Devin L. Wakefield may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201833
3 201627
4 201626
5 201825
6 201825
7 201423
8 201719
9 201418
10 202118
11 201512
12 202211
13 201610
14 20239
15 20189
16 20207
17 20186
18 20216
19 20216
20 20214

About Devin L. Wakefield

Devin L. Wakefield is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Biophysics and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 383 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Receptor Mechanisms and Signaling (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Lipid Membrane Structure and Behavior (3 papers), Neuropeptides and Animal Physiology (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Structural Biology (14 citations), Biophysics (42 citations), Immunology and Allergy (23 citations), Cancer Research (47 citations) and Molecular Biology (222 citations). Devin L. Wakefield has collaborated with scholars based in United States, Sweden and Belgium. Frequent co-authors include Tijana Jovanović‐Talisman, Barbara Baird, David Holowka, David A. Holowka, William R. Dichtel, Chao Sun, Veronica Jones, Ottavia Golfetto, Xueli Liu and Daniel Schmolze. Their work appears in journals such as Molecular Biology of the Cell, Journal of Surgical Research, Traffic, Frontiers in Bioengineering and Biotechnology and Scientific Reports.

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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