Fernán Jaramillo

874 total citations
9 papers, 660 citations indexed

About

Fernán Jaramillo is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Fernán Jaramillo has authored 9 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Statistical and Nonlinear Physics and 4 papers in Computer Networks and Communications. Recurrent topics in Fernán Jaramillo's work include stochastic dynamics and bifurcation (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Fernán Jaramillo is often cited by papers focused on stochastic dynamics and bifurcation (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Fernán Jaramillo collaborates with scholars based in United States. Fernán Jaramillo's co-authors include Kurt Wiesenfeld, Stephen F. Traynelis, A. J. Hudspeth, Stephen M. Schuetze, Stefano Vicini, Vladislav S. Markin, Jonathan E. Frank and Matthew R. Bennett and has published in prestigious journals such as Nature, Neuron and Nature Neuroscience.

In The Last Decade

Fernán Jaramillo

9 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernán Jaramillo United States	8	265	264	221	164	154	9	660
Mark Ospeck United States	7	95 0.4×	278 1.1×	48 0.2×	285 1.7×	39 0.3×	11	503
Ralf Weßel United States	16	211 0.8×	658 2.5×	265 1.2×	63 0.4×	694 4.5×	47	1.2k
Jérémie Barral France	10	65 0.2×	200 0.8×	126 0.6×	213 1.3×	111 0.7×	16	586
Kentaroh Takagaki Germany	13	164 0.6×	583 2.2×	128 0.6×	48 0.3×	452 2.9×	21	961
Klaus M. Stiefel United States	14	155 0.6×	490 1.9×	177 0.8×	37 0.2×	466 3.0×	40	852
Rubén Budelli Uruguay	19	79 0.3×	359 1.4×	89 0.4×	73 0.4×	294 1.9×	50	1.2k
Kristen A. Richardson United States	7	132 0.5×	399 1.5×	85 0.4×	20 0.1×	305 2.0×	7	532
R. M. Miura Canada	10	164 0.6×	511 1.9×	211 1.0×	25 0.2×	555 3.6×	10	753
Jorge F. Mejías Netherlands	15	200 0.8×	818 3.1×	53 0.2×	44 0.3×	322 2.1×	44	909
Thierry Bal France	17	292 1.1×	1.3k 4.9×	185 0.8×	36 0.2×	1.1k 6.9×	34	1.6k

Countries citing papers authored by Fernán Jaramillo

Since Specialization

Citations

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

Fields of papers citing papers by Fernán Jaramillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernán Jaramillo

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

All Works

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9 of 9 papers shown

1.

Bennett, Matthew R., Kurt Wiesenfeld, & Fernán Jaramillo. (2004). STOCHASTIC RESONANCE IN HAIR CELL MECHANOELECTRICAL TRANSDUCTION. Fluctuation and Noise Letters. 4(1). L1–L10. 7 indexed citations

2.

Frank, Jonathan E., Vladislav S. Markin, & Fernán Jaramillo. (2002). Characterization of Adaptation Motors in Saccular Hair Cells by Fluctuation Analysis. Biophysical Journal. 83(6). 3188–3201. 9 indexed citations

3.

Jaramillo, Fernán & Kurt Wiesenfeld. (2000). Physiological noise level enhances mechanoelectrical transduction in hair cells. Chaos Solitons & Fractals. 11(12). 1869–1874. 14 indexed citations

4.

Traynelis, Stephen F. & Fernán Jaramillo. (1998). Getting the most out of noise in the central nervous system. Trends in Neurosciences. 21(4). 137–145. 125 indexed citations

5.

Jaramillo, Fernán & Kurt Wiesenfeld. (1998). Mechanoelectrical transduction assisted by Brownian motion: a role for noise in the auditory system. Nature Neuroscience. 1(5). 384–388. 155 indexed citations

6.

Wiesenfeld, Kurt & Fernán Jaramillo. (1998). Minireview of stochastic resonance. Chaos An Interdisciplinary Journal of Nonlinear Science. 8(3). 539–548. 132 indexed citations

7.

Jaramillo, Fernán. (1995). Signal transduction in hair cells and its regulation by calcium. Neuron. 15(6). 1227–1230. 23 indexed citations

8.

Jaramillo, Fernán & A. J. Hudspeth. (1991). Localization of the hair cell's transduction channels at the hair bundle's top by iontophoretic application of a channel blocker. Neuron. 7(3). 409–420. 120 indexed citations

9.

Jaramillo, Fernán, Stefano Vicini, & Stephen M. Schuetze. (1988). Embryonic acetylcholine receptors guarantee spontaneous contractions in rat developing muscle. Nature. 335(6185). 66–68. 75 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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