S. Di

938 total citations
11 papers, 761 citations indexed

About

S. Di is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, S. Di has authored 11 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in S. Di's work include Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). S. Di is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). S. Di collaborates with scholars based in United States, Russia and Italy. S. Di's co-authors include Daniel S. Barth, Jeffrey G. Tasker, Christoph Baumgartner, Renato Malcher‐Lopes, Nicolás G. Bazán, Feng‐Ju Weng, Chérif Boudaba, Nicholas W. Gilpin, Christy A. Itoga and Changzhu Li and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

S. Di

11 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Di United States	10	398	313	180	152	133	11	761
Daniel G. Reis Brazil	15	174 0.4×	276 0.9×	183 1.0×	150 1.0×	156 1.2×	17	706
David L. Wolgin United States	16	176 0.4×	471 1.5×	82 0.5×	153 1.0×	145 1.1×	50	760
Fernando MCV Reis Brazil	13	219 0.6×	211 0.7×	117 0.7×	107 0.7×	159 1.2×	19	506
J. C. De Aguiar Brazil	10	218 0.5×	501 1.6×	128 0.7×	82 0.5×	156 1.2×	11	768
W Trojniar Poland	14	254 0.6×	333 1.1×	57 0.3×	114 0.8×	84 0.6×	45	577
Ryan K. Butler United States	14	221 0.6×	288 0.9×	154 0.9×	63 0.4×	156 1.2×	18	870
Jeffrey E. Kelsey United States	10	197 0.5×	221 0.7×	124 0.7×	39 0.3×	76 0.6×	15	689
Dinara Baimoukhametova Canada	12	184 0.5×	380 1.2×	84 0.5×	230 1.5×	316 2.4×	16	913
Jaclyn I. Wamsteeker Cusulin Canada	8	150 0.4×	243 0.8×	61 0.3×	169 1.1×	299 2.2×	9	692
Dennison A. Smith United States	10	178 0.4×	304 1.0×	55 0.3×	151 1.0×	200 1.5×	16	557

Countries citing papers authored by S. Di

Since Specialization

Citations

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

Fields of papers citing papers by S. Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Di

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Gao, Yuhao, S. Di, Yuntao Lei, et al.. (2024). TRPV1 analgesics disturb core body temperature via a biased allosteric mechanism involving conformations distinct from that for nociception. Neuron. 112(11). 1815–1831.e4. 9 indexed citations

Di, S., et al.. (2016). Acute Stress Suppresses Synaptic Inhibition and Increases Anxiety via Endocannabinoid Release in the Basolateral Amygdala. Journal of Neuroscience. 36(32). 8461–8470. 91 indexed citations

Di, S. & Jeffrey G. Tasker. (2008). Rapid synapse-specific regulation of hypothalamic magnocellular neurons by glucocorticoids. Progress in brain research. 170. 379–388. 24 indexed citations

Malcher‐Lopes, Renato, et al.. (2006). Opposing Crosstalk between Leptin and Glucocorticoids Rapidly Modulates Synaptic Excitation via Endocannabinoid Release. Journal of Neuroscience. 26(24). 6643–6650. 212 indexed citations

Boudaba, Chérif, S. Di, & Jeffrey G. Tasker. (2003). Presynaptic Noradrenergic Regulation of Glutamate Inputs to Hypothalamic Magnocellular Neurones. Journal of Neuroendocrinology. 15(8). 803–810. 77 indexed citations

Barth, Daniel S., et al.. (1994). The anatomic organization of evoked potentials in rat parietal cortex: electrically evoked commissural responses. Journal of Neurophysiology. 72(1). 139–149. 6 indexed citations

Barth, Daniel S., et al.. (1993). Anatomic organization of evoked potentials in rat parietotemporal cortex: somatosensory and auditory responses. Journal of Neurophysiology. 69(6). 1837–1849. 40 indexed citations

Di, S. & Daniel S. Barth. (1992). The functional anatomy of middle-latency auditory evoked potentials: thalamocortical connections. Journal of Neurophysiology. 68(2). 425–431. 54 indexed citations

Barth, Daniel S. & S. Di. (1991). Laminar excitability cycles in neocortex. Journal of Neurophysiology. 65(4). 891–898. 24 indexed citations

10.

Di, S., Christoph Baumgartner, & Daniel S. Barth. (1990). Laminar analysis of extracellular field potentials in rat vibrissa/barrel cortex. Journal of Neurophysiology. 63(4). 832–840. 116 indexed citations

11.

Barth, Daniel S. & S. Di. (1990). Three-dimensional analysis of auditory-evoked potentials in rat neocortex. Journal of Neurophysiology. 64(5). 1527–1536. 108 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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