D. S. Faber

3.1k total citations
55 papers, 2.6k citations indexed

About

D. S. Faber is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, D. S. Faber has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 28 papers in Cognitive Neuroscience and 19 papers in Molecular Biology. Recurrent topics in D. S. Faber's work include Neuroscience and Neuropharmacology Research (33 papers), Neural dynamics and brain function (25 papers) and Neuroscience and Neural Engineering (10 papers). D. S. Faber is often cited by papers focused on Neuroscience and Neuropharmacology Research (33 papers), Neural dynamics and brain function (25 papers) and Neuroscience and Neural Engineering (10 papers). D. S. Faber collaborates with scholars based in United States, France and Germany. D. S. Faber's co-authors include Henri Korn, Antoine Triller, C. A. Lewis, Alberto E. Pereda, Alain Mallet, Nassir H. Sabah, John T. Murphy, Yoichi Oda, Stéphane Charpier and H. Táboříková and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physiological Reviews and Trends in Neurosciences.

In The Last Decade

D. S. Faber

54 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. S. Faber United States 31 1.9k 1.1k 987 405 381 55 2.6k
J. Hámori Hungary 27 1.9k 1.0× 652 0.6× 1.0k 1.1× 689 1.7× 225 0.6× 117 2.8k
Donald S. Faber United States 35 2.1k 1.1× 1.2k 1.1× 1.2k 1.2× 240 0.6× 770 2.0× 73 3.5k
Marc Colonnier Canada 25 2.5k 1.4× 1.7k 1.6× 1.2k 1.2× 561 1.4× 307 0.8× 34 3.7k
Edmond Carlier France 28 1.3k 0.7× 710 0.7× 1.2k 1.3× 250 0.6× 192 0.5× 56 2.8k
Kerry D. Walton United States 23 1.9k 1.0× 775 0.7× 1.3k 1.3× 423 1.0× 420 1.1× 39 3.1k
S. D. Erulkar United States 32 1.1k 0.6× 705 0.7× 872 0.9× 205 0.5× 172 0.5× 59 2.5k
P. G. Nelson United States 25 1.3k 0.7× 793 0.7× 872 0.9× 168 0.4× 159 0.4× 44 2.3k
Washington Buño Spain 29 1.9k 1.0× 1.1k 1.0× 783 0.8× 305 0.8× 77 0.2× 93 2.5k
Vanni Taglietti Italy 31 1.7k 0.9× 649 0.6× 1.3k 1.3× 799 2.0× 154 0.4× 71 2.8k
D.E. Hillman United States 25 1.7k 0.9× 373 0.3× 1.3k 1.3× 706 1.7× 260 0.7× 39 2.6k

Countries citing papers authored by D. S. Faber

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Faber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. S. Faber. 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 D. S. Faber. The network helps show where D. S. Faber may publish in the future.

Co-authorship network of co-authors of D. S. Faber

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Faber. A scholar is included among the top collaborators of D. S. Faber 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 D. S. Faber. D. S. Faber 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
1.
Kosnopfel, Corinna, D. S. Faber, Andreas Schlösser, et al.. (2024). Loss of p14 diminishes immunogenicity in melanoma via non‐canonical Wnt signaling by reducing the peptide surface density. Molecular Oncology. 18(10). 2449–2470. 1 indexed citations
2.
Mallet, Alain, D. S. Faber, & Henri Korn. (2007). Statistical Analysis of Visual Fits: Answer to J. Ninio. Journal of Neurophysiology. 98(3). 1836–1840.
3.
Szabo, T, Shennan A. Weiss, D. S. Faber, & Thomas Preuss. (2006). Representation of Auditory Signals in the M-Cell: Role of Electrical Synapses. Journal of Neurophysiology. 95(4). 2617–2629. 34 indexed citations
4.
Hatta, Kohei, Norbert Ankri, D. S. Faber, & Henri Korn. (2001). Slow inhibitory potentials in the teleost Mauthner cell. Neuroscience. 103(2). 561–579. 13 indexed citations
5.
Korn, Henri, et al.. (1997). The effects of geometrical parameters on synaptic transmission: a Monte Carlo simulation study. Biophysical Journal. 73(6). 2874–2890. 55 indexed citations
6.
Pereda, Alberto E. & D. S. Faber. (1996). Activity-dependent short-term enhancement of intercellular coupling.. PubMed. 16(3). 983–92. 101 indexed citations
7.
Kumar, Sanjay S., et al.. (1995). Regulation of synaptic strength at mixed synapses: Effects of dopamine receptor blockade and protein kinase C activation. Neuropharmacology. 34(11). 1559–1565. 8 indexed citations
8.
Korn, Henri, Cyrille Sur, Stéphane Charpier, Pascal Legendre, & D. S. Faber. (1994). 19 The one-vesicle hypothesis and multivesicular release. PubMed. 29. 301–III. 50 indexed citations
9.
Ankri, Norbert, Pascal Legendre, D. S. Faber, & Henri Korn. (1994). Automatic detection of spontaneous synaptic responses in central neurons. Journal of Neuroscience Methods. 52(1). 87–100. 88 indexed citations
10.
Faber, D. S. & Henri Korn. (1991). Applicability of the coefficient of variation method for analyzing synaptic plasticity. Biophysical Journal. 60(5). 1288–1294. 308 indexed citations
11.
Ahmed, Z., C. A. Lewis, & D. S. Faber. (1990). Glutamate stimulates release of Ca2+ from internal stores in astroglia. Brain Research. 516(1). 165–169. 63 indexed citations
12.
Korn, Henri & D. S. Faber. (1990). Transmission at a central inhibitory synapse. IV. Quantal structure of synaptic noise. Journal of Neurophysiology. 63(1). 198–222. 41 indexed citations
13.
Lin, Jen‐Wei & D. S. Faber. (1988). An efferent inhibition of auditory afferents mediated by the goldfish mauthner cell. Neuroscience. 24(3). 829–836. 15 indexed citations
14.
Korn, Henri, D. S. Faber, & Antoine Triller. (1986). Probabilistic determination of synaptic strength. Journal of Neurophysiology. 55(2). 402–421. 31 indexed citations
15.
Korn, Henri & D. S. Faber. (1983). Organizational and Cellular Mechanisms Underlying Chemical Inhibition of A Vertebrate Neuron. Progress in brain research. 58. 165–174. 6 indexed citations
16.
Korn, Henri, Alain Mallet, Antoine Triller, & D. S. Faber. (1982). Transmission at a central inhibitory synapse. II. Quantal description of release, with a physical correlate for binomial n.. Journal of Neurophysiology. 48(3). 679–707. 173 indexed citations
17.
Faber, D. S., et al.. (1980). Dual transmission at morphologically mixed synapses: Evidence from postsynaptic cobalt injections. Neuroscience. 5(2). 433–440. 27 indexed citations
18.
Klee, Manfred R., Fr.-K. Pierau, & D. S. Faber. (1974). Temperature effects on resting potential and spike parameters of cat motoneurons. Experimental Brain Research. 19(5). 478–92. 69 indexed citations
19.
Faber, D. S., Koichi Ishikawa, & Mark J. Rowe. (1971). The responses of cerebellar Purkyneˇcells to muscle vibration. Brain Research. 26(1). 184–187. 14 indexed citations
20.
Pierau, Fr.-K., et al.. (1971). Mechanism of cellular thermoreception in mammals. International Journal of Biometeorology. 15(2-4). 134–140. 8 indexed citations

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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