DA Ruggiero

1.9k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

DA Ruggiero is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, DA Ruggiero has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Endocrine and Autonomic Systems and 2 papers in Molecular Biology. Recurrent topics in DA Ruggiero's work include Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuroscience of respiration and sleep (3 papers). DA Ruggiero is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuroscience of respiration and sleep (3 papers). DA Ruggiero collaborates with scholars based in United States. DA Ruggiero's co-authors include Reis Dj, JE LeDoux, Claudia R. Farb, TH Joh, DH Park, Julio Fernandez‐Pardal, José M. Saavedra, C A Ross, K Otake and Paul Ernsberger and has published in prestigious journals such as Journal of Neuroscience.

In The Last Decade

DA Ruggiero

8 papers receiving 1.6k citations

Hit Papers

Tonic vasomotor control by the rostral ventrolateral medu... 1984 2026 1998 2012 1984 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DA Ruggiero United States 8 748 646 538 299 270 8 1.6k
Gary V. Allen Canada 20 730 1.0× 471 0.7× 616 1.1× 314 1.1× 127 0.5× 30 1.7k
Juarez A. Ricardo Brazil 10 1.2k 1.6× 814 1.3× 752 1.4× 252 0.8× 123 0.5× 11 2.2k
James R. Haselton United States 17 524 0.7× 681 1.1× 502 0.9× 231 0.8× 391 1.4× 24 1.4k
Takato Kunitake Japan 20 413 0.6× 475 0.7× 283 0.5× 210 0.7× 259 1.0× 44 1.2k
Leonard Y. Koda United States 19 1.0k 1.4× 608 0.9× 467 0.9× 230 0.8× 114 0.4× 30 2.0k
Mitsuhiko Miura Japan 28 782 1.0× 1.5k 2.4× 489 0.9× 373 1.2× 504 1.9× 80 2.3k
Richard W. Clough United States 22 986 1.3× 355 0.5× 518 1.0× 392 1.3× 139 0.5× 41 2.5k
Franco R. Calaresu Canada 25 663 0.9× 921 1.4× 261 0.5× 396 1.3× 386 1.4× 46 1.8k
D. Bieger Canada 27 832 1.1× 1.3k 2.0× 361 0.7× 569 1.9× 259 1.0× 81 2.8k
Hiroshi Kannan Japan 29 666 0.9× 1.4k 2.2× 806 1.5× 353 1.2× 337 1.2× 79 2.5k

Countries citing papers authored by DA Ruggiero

Since Specialization
Citations

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

Fields of papers citing papers by DA Ruggiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DA Ruggiero

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

All Works

8 of 8 papers shown
1.
Otake, K & DA Ruggiero. (1995). Monoamines and nitric oxide are employed by afferents engaged in midline thalamic regulation. Journal of Neuroscience. 15(3). 1891–1911. 64 indexed citations
2.
Ruggiero, DA, et al.. (1994). Emetic reflex arc revealed by expression of the immediate-early gene c- fos in the cat. Journal of Neuroscience. 14(2). 871–888. 117 indexed citations
3.
Otake, K, Reis Dj, & DA Ruggiero. (1994). Afferents to the midline thalamus issue collaterals to the nucleus tractus solitarii: an anatomical basis for thalamic and visceral reflex integration. Journal of Neuroscience. 14(9). 5694–5707. 62 indexed citations
4.
LeDoux, JE, Claudia R. Farb, & DA Ruggiero. (1990). Topographic organization of neurons in the acoustic thalamus that project to the amygdala. Journal of Neuroscience. 10(4). 1043–1054. 433 indexed citations
5.
Giuliano, R., DA Ruggiero, Shaun F. Morrison, Paul Ernsberger, & Reis Dj. (1989). Cholinergic regulation of arterial pressure by the C1 area of the rostral ventrolateral medulla. Journal of Neuroscience. 9(3). 923–942. 100 indexed citations
6.
Park, DH, Gladys Teitelman, DA Ruggiero, et al.. (1986). Phenylethanolamine N-methyltransferase-containing neurons in rat retina: immunohistochemistry, immunochemistry, and molecular biology. Journal of Neuroscience. 6(4). 1108–1113. 40 indexed citations
7.
Ross, C A, DA Ruggiero, DH Park, et al.. (1984). Tonic vasomotor control by the rostral ventrolateral medulla: effect of electrical or chemical stimulation of the area containing C1 adrenaline neurons on arterial pressure, heart rate, and plasma catecholamines and vasopressin. Journal of Neuroscience. 4(2). 474–494. 730 indexed citations breakdown →
8.
Baker, Harriet, TH Joh, DA Ruggiero, & Reis Dj. (1983). Variations in number of dopamine neurons and tyrosine hydroxylase activity in hypothalamus of two mouse strains. Journal of Neuroscience. 3(4). 832–843. 53 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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