Aubrey V. Weigel

4.2k citations
27 papers · 2.5k indexed · 2 hit papers · h-index 16
Topics
Cellular transport and secretion (9 papers)Lipid Membrane Structure and Behavior (7 papers)Advanced Fluorescence Microscopy Techniques (6 papers)

In The Last Decade

Aubrey V. Weigel

26 papers receiving 2.5k citations

Hit Papers

Ergodic and nonergodic processes coexist in the plasma me...201120262016202120112019100200300400500

Peers

Aubrey V. Weigel
Comparison fields: 5 of 138
  • Molecular Biology 1.3k
  • Cell Biology 558
  • Biophysics 352
  • Cellular and Molecular Neuroscience 300
  • Physiology 292
Replace David Holcman with:
David Holcman France
Yaron Shav‐Tal Israel
Brian P. English United States
Viki Allan United Kingdom
Yasushi Sako Japan
Didier Marguet France
Rinshi S. Kasai Japan
Albrecht Schwab Germany
Gerhard J. Schütz Austria
Michael M. Tamkun United States
Aubrey V. Weigel relative to David Holcman France David Holcman's profile →
Citations per field
00.5×1.5×
David Holcman · 1×
Citations per year

Countries citing papers authored by Aubrey V. Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Aubrey V. Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aubrey V. Weigel. 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 Aubrey V. Weigel. The network helps show where Aubrey V. Weigel may publish in the future.

Co-authorship network of co-authors of Aubrey V. Weigel

This figure shows the co-authorship network connecting the top 25 collaborators of Aubrey V. Weigel. A scholar is included among the top collaborators of Aubrey V. Weigel 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 Aubrey V. Weigel. Aubrey V. Weigel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 28
3 78
4 97
5 4
6 168
7 8
8 30
9
Neuron-Astrocyte Metabolic Coupling Protects against Activity-Induced Fatty Acid Toxicitybreakdown →
489
10 35
11 319
12 1
13 2
14 0
15 32
16 7
17 80
18 23
19
Ergodic and nonergodic processes coexist in the plasma membrane as observed by single-molecule trackingbreakdown →
508
20 3

About Aubrey V. Weigel

Aubrey V. Weigel is a scholar working on Structural Biology, Biophysics and Cell Biology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Structural Biology (164 citations), Biophysics (352 citations) and Modeling and Simulation (196 citations). Aubrey V. Weigel has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Diego Krapf, Michael M. Tamkun, Blair Simon, Jennifer Lippincott‐Schwartz, C. Shan Xu, Harald F. Hess, H. Amalia Pasolli, Chi‐Lun Chang, Maria S. Ioannou and Song Pang. Their work appears in journals such as Nature, Science and Cell.

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

Rankless by CCL
2026