Gilbert Baumann

573 total citations
15 papers, 447 citations indexed

About

Gilbert Baumann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Gilbert Baumann has authored 15 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Gilbert Baumann's work include Lipid Membrane Structure and Behavior (6 papers), Neuroscience and Neural Engineering (5 papers) and Neural dynamics and brain function (4 papers). Gilbert Baumann is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Neuroscience and Neural Engineering (5 papers) and Neural dynamics and brain function (4 papers). Gilbert Baumann collaborates with scholars based in United States, Switzerland and New Zealand. Gilbert Baumann's co-authors include Paul Müeller, Riccardo Graber, George S. Easton, C. L. Schauf, T. F. Nonnenmacher, Gabriele A. Losa and John Hamer and has published in prestigious journals such as Nature, Biophysical Journal and Journal of Theoretical Biology.

In The Last Decade

Gilbert Baumann

14 papers receiving 423 citations

Peers

Gilbert Baumann
W.F. DeGrado United States
J.O. Bullock United States
M Eisenberg United States
Gilbert Baumann
Citations per year, relative to Gilbert Baumann Gilbert Baumann (= 1×) peers H. Duclohier

Countries citing papers authored by Gilbert Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Baumann

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

All Works

15 of 15 papers shown
1.
Hamer, John, et al.. (2007). Using Stealth Mixins to Achieve Modularity. 1826. 111–116.
2.
Losa, Gabriele A., Riccardo Graber, Gilbert Baumann, & T. F. Nonnenmacher. (1999). Effects of steroid hormones on nuclear membrane and membrane-bound heterochromatin from breast cancer cells evaluated by fractal morphometry.. PubMed. 21(5). 430–6. 5 indexed citations
3.
Graber, Riccardo, et al.. (1998). Steroid hormones modify nuclear heterochromatin structure and plasma membrane enzyme of MCF-7 cells. A combined fractal, electron microscopical and enzymatic analysis.. PubMed. 42(1). 21–9. 21 indexed citations
4.
Baumann, Gilbert & George S. Easton. (1982). Modeling state-dependent sodium conductance data by a memoryless random process. Mathematical Biosciences. 60(2). 265–276. 1 indexed citations
5.
Schauf, C. L. & Gilbert Baumann. (1981). Experimental evidence consistent with aggregation kinetics in the sodium current of Myxicola giant axons. Biophysical Journal. 35(3). 707–714. 5 indexed citations
6.
Baumann, Gilbert. (1981). Novel kinetics in the sodium conductance system predicted by the aggregation model of channel gating. Biophysical Journal. 35(3). 699–705. 8 indexed citations
7.
Baumann, Gilbert & George S. Easton. (1981). Markov process characterization of a single membrane gating site. Journal of Theoretical Biology. 93(4). 785–804. 2 indexed citations
8.
Baumann, Gilbert & George S. Easton. (1980). Micro- and macrokinetic behavior of the subunit gating channel. The Journal of Membrane Biology. 52(3). 237–243. 11 indexed citations
9.
Baumann, Gilbert. (1979). Modular gating channel and Cole-Moore effect: next-neighbor (Hill-Chen) versus nonrestricted aggregation. Mathematical Biosciences. 46(1-2). 107–115. 4 indexed citations
10.
Baumann, Gilbert, et al.. (1978). A novel molecular interpretation of the Hodgkin-Huxley model of electrical excitability. Mathematical Biosciences. 39(3-4). 291–297. 7 indexed citations
11.
Baumann, Gilbert, et al.. (1978). Comments on electrostriction and/or cooperativity as viable models of membrane excitability.. PubMed. 10(4). 381–2. 1 indexed citations
12.
Baumann, Gilbert & Paul Müeller. (1974). A molecular model of membrane excitability. Journal of Supramolecular Structure. 2(5-6). 538–557. 322 indexed citations
13.
Baumann, Gilbert. (1969). Juvenile Hormone: Effect on Bimolecular Lipid Membranes. Nature. 223(5203). 316–317. 25 indexed citations
14.
Baumann, Gilbert. (1968). Zur Wirkung des Juvenilhormons: Elektrophysiologische Messungen an der Zellmembran der Speicheldrüse von Galleria mellonella. Journal of Insect Physiology. 14(10). 1459–1476. 34 indexed citations
15.

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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