A. Ungar

33 papers receiving 547 citations

Peers

A. Ungar
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 217
  • Behavioral Neuroscience 40
  • Cardiology and Cardiovascular Medicine 230
  • Cellular and Molecular Neuroscience 131
  • Physiology 138
Replace Yoshinobu Numao with:
Yoshinobu Numao Japan
Karie E. Scrogin United States
J. O. SKARPHEDINSSON Sweden
Carla Bazzani Italy
V.V. Frolkis Ukraine
Hiroaki Hisa Japan
Nobuharu Yamaguchi Canada
Benet J. Pardini United States
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Citations per field
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Citations per year

Countries citing papers authored by A. Ungar

Since Specialization
Citations

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

Fields of papers citing papers by A. Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Ungar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Ungar Line = papers co-authored together A. Ungar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983153
2 1966101
3 196789
4 198038
5 198735
6 198228
7 198927
8 198624
9 197522
10 197816
11 198112
12 198211
13 198010
14
Proceedings: The release of adrenaline and noradrenaline by the adrenal glands of cats and dogs in reflexes arising from the carotid chemoreceptors and baroreceptors.
19737
15 19867
16 19716
17 19746
18 19785
19 19795
20
Antagonist affinity constants for adrenomedullary muscarinic receptors [proceedings].
19774

About A. Ungar

A. Ungar is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Genetics, Molecular Biology and Physiology, having authored 35 papers that have together received 632 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (11 papers), Heart Rate Variability and Autonomic Control (10 papers), High Altitude and Hypoxia (9 papers), Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Respiratory Support and Mechanisms (4 papers), Hormonal Regulation and Hypertension (4 papers) and Renal function and acid-base balance (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (217 citations), Behavioral Neuroscience (40 citations), Cardiology and Cardiovascular Medicine (230 citations), Cellular and Molecular Neuroscience (131 citations) and Physiology (138 citations). A. Ungar has collaborated with scholars based in United Kingdom and France. Frequent co-authors include M. de Burgh Daly, John H. Phillips, Julia Critchley, Peter Ellis, Margaret R. MacLean, R.A. Riemersma, Albert Schömig, Anthony M. Dart, Michael L. Watson and Rebecca L. Jones. Their work appears in journals such as The Journal of Physiology, British Journal of Pharmacology, Clinical Science, Journal of Hypertension and Physiological Reviews.

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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