Walter E. Teague

987 citations
20 papers · 796 · h-index 16

Impact in

Papers in

Walter E. Teague

20 papers receiving 788 citations

Peers

Walter E. Teague
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 174
  • Molecular Biology 557
  • Complementary and alternative medicine 61
  • Cell Biology 96
  • Biochemistry 31
Replace O. D. Lopina with:
O. D. Lopina Russia
Akiyuki Takahashi Japan
Atsuko Nakanishi Japan
Piotr Koprowski Poland
Riyad El‐Khoury France
Thomas Schnyder Switzerland
Raúl Covián United States
Gudrun Heim Germany
Dhiman Ghosh Switzerland
Krzysztof Dołowy Poland
Walter E. Teague relative to O. D. Lopina Russia O. D. Lopina's profile →
Citations per field
00.5×3.6×
O. D. Lopina · 1×
Citations per year

Countries citing papers authored by Walter E. Teague

Since Specialization
Citations

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

Fields of papers citing papers by Walter E. Teague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter E. Teague. 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 Walter E. Teague. The network helps show where Walter E. Teague may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1995122
2 2010102
3 2019101
4 200676
5 199252
6 201252
7 201546
8 199640
9
Polyunsaturated lipids in membrane fusion events.
200228
10 199926
11 202025
12 201824
13 200223
14 201421
15 199221
16 200617
17 202215
18 20213
19 20111
20 20201

About Walter E. Teague

Walter E. Teague is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physical and Theoretical Chemistry, Cell Biology and Physiology, having authored 20 papers that have together received 796 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (11 papers), Receptor Mechanisms and Signaling (7 papers), Photoreceptor and optogenetics research (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Muscle metabolism and nutrition (2 papers), thermodynamics and calorimetric analyses (2 papers), Chemical Reactions and Mechanisms (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (174 citations), Molecular Biology (557 citations), Complementary and alternative medicine (61 citations), Cell Biology (96 citations) and Biochemistry (31 citations). Walter E. Teague has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Klaus Gawrisch, Geoffrey P. Dobson, Olivier Soubias, Elke M. Golding, Kirk G. Hines, Drake C. Mitchell, Richard W. Pastor, R.P. Rand, An Ghysels and Edward Lyman. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Journal of Experimental Biology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Nature Communications.

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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