Daniel M. Gibbs

1.8k total citations
24 papers, 1.5k citations indexed

About

Daniel M. Gibbs is a scholar working on Behavioral Neuroscience, Social Psychology and Physiology. According to data from OpenAlex, Daniel M. Gibbs has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Behavioral Neuroscience, 13 papers in Social Psychology and 6 papers in Physiology. Recurrent topics in Daniel M. Gibbs's work include Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (13 papers) and Circadian rhythm and melatonin (4 papers). Daniel M. Gibbs is often cited by papers focused on Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (13 papers) and Circadian rhythm and melatonin (4 papers). Daniel M. Gibbs collaborates with scholars based in United States. Daniel M. Gibbs's co-authors include Wylie Vale, Dipak K. Sarkar, Joseph D. Ansley, Robert A. Bethel, Joel M. Felner, Donald O. Nutter, Steven B. Heymsfield, A. Negro‐Vilar, Craig A. Johnston and John K. McDonald and has published in prestigious journals such as Biological Psychiatry, Brain Research and Endocrinology.

In The Last Decade

Daniel M. Gibbs

24 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Gibbs United States 20 811 808 338 259 231 24 1.5k
V. Coiro Italy 24 676 0.8× 561 0.7× 582 1.7× 530 2.0× 396 1.7× 209 2.5k
Steve W. Sutton United States 23 643 0.8× 1.4k 1.7× 217 0.6× 271 1.0× 320 1.4× 30 2.2k
S. Feldman Israel 22 650 0.8× 904 1.1× 446 1.3× 198 0.8× 350 1.5× 90 1.5k
Philip W. Gold United States 18 381 0.5× 1.1k 1.4× 211 0.6× 242 0.9× 279 1.2× 21 2.0k
Yvonne M. Kershaw United Kingdom 22 697 0.9× 945 1.2× 556 1.6× 211 0.8× 159 0.7× 33 1.6k
T. Shibasaki Japan 18 327 0.4× 519 0.6× 347 1.0× 268 1.0× 346 1.5× 27 1.3k
István Barna Hungary 21 415 0.5× 439 0.5× 274 0.8× 215 0.8× 630 2.7× 98 1.7k
Thomas P. Tomai United States 17 263 0.3× 603 0.7× 131 0.4× 144 0.6× 141 0.6× 23 1.1k
Samuel J. Listwak United States 18 408 0.5× 1.0k 1.3× 188 0.6× 273 1.1× 308 1.3× 22 1.9k
Bettina Weber Germany 18 241 0.3× 814 1.0× 144 0.4× 132 0.5× 131 0.6× 26 1.6k

Countries citing papers authored by Daniel M. Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Gibbs. 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 Daniel M. Gibbs. The network helps show where Daniel M. Gibbs may publish in the future.

Co-authorship network of co-authors of Daniel M. Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Gibbs. A scholar is included among the top collaborators of Daniel M. Gibbs 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 Daniel M. Gibbs. Daniel M. Gibbs 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.
Gibbs, Daniel M.. (2022). Alzheimer’s dementia or Alzheimer’s disease – What’s the difference and why should we care?. Ageing Research Reviews. 82. 101779–101779. 8 indexed citations
2.
VandeVrede, Lawren, Daniel M. Gibbs, Mary Koestler, et al.. (2020). Symptomatic amyloid‐related imaging abnormalities in an APOE ε4/ε4 patient treated with aducanumab. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 12(1). e12101–e12101. 52 indexed citations
3.
Gibbs, Daniel M.. (2019). Early Awareness of Alzheimer Disease. JAMA Neurology. 76(3). 249–249. 4 indexed citations
4.
Gibbs, Daniel M.. (1987). β-Adrenergic control of atrial natriuretic factor secretion from dispersed rat atrial myocytes. Regulatory Peptides. 19(1-2). 73–78. 24 indexed citations
5.
McDonald, John K., James I. Koenig, Daniel M. Gibbs, Paulette Collins, & Bryan D. Noe. (1987). High Concentrations of Neuropeptide Y in Pituitary Portal Blood of Rats. Neuroendocrinology. 46(6). 538–541. 75 indexed citations
6.
Gibbs, Daniel M.. (1987). Noncalcium-Dependent Modulation of in Vitro Atrial Natriuretic Factor Release by Extracellular Osmolality*. Endocrinology. 120(1). 194–197. 40 indexed citations
7.
Gibbs, Daniel M.. (1986). Vasopressin and oxytocin: hypothalamic modulators of the stress response: a review. Psychoneuroendocrinology. 11(2). 131–139. 162 indexed citations
8.
Downs, Nancy, Karen T. Britton, Daniel M. Gibbs, George F. Koob, & Neal R. Swerdlow. (1986). Supersensitive endocrine response to physostigmine in dopamine-depleted rats: A model of depression?. Biological Psychiatry. 21(8-9). 775–786. 30 indexed citations
9.
Liu, James H., et al.. (1986). Role of Oxytocin in the Modulation of ACTH Release in Women. Neuroendocrinology. 44(3). 309–313. 34 indexed citations
10.
Gibbs, Daniel M.. (1986). Stress-Specific Modulation of ACTH Secretion by Oxytocin. Neuroendocrinology. 42(6). 456–458. 51 indexed citations
11.
Gibbs, Daniel M.. (1986). Oxytocin inhibits ACTH and peripheral catecholamine secretion in the urethane-anesthetized rat. Regulatory Peptides. 14(2). 125–132. 19 indexed citations
12.
Gibbs, Daniel M.. (1985). Hypothalamic epinephrine is released into hypophysial portal blood during stress. Brain Research. 335(2). 360–364. 32 indexed citations
13.
Kalin, Ned H., Daniel M. Gibbs, Charles M. Barksdale, Steven E. Shelton, & Molly Carnes. (1985). Behavioral stress decreases plasma oxytocin concentrations in primates. Life Sciences. 36(13). 1275–1280. 34 indexed citations
14.
Gibbs, Daniel M.. (1985). Immunoneutralization of oxytocin attenuates stress-induced corticotropin secretion in the rat. Regulatory Peptides. 12(4). 273–277. 32 indexed citations
15.
Perkins, Susan N., William S. Evans, Michael O. Thorner, Daniel M. Gibbs, & Michael J. Cronin. (1985). β-Adrenergic Binding and Secretory Responses of the Anterior Pituitary*. Endocrinology. 117(5). 1818–1825. 28 indexed citations
16.
Gibbs, Daniel M.. (1984). High Concentrations of Oxytocin in Hypophysial Portal Plasma*. Endocrinology. 114(4). 1216–1218. 85 indexed citations
17.
Johnston, Craig A., Daniel M. Gibbs, & A. Negro‐Vilar. (1983). HIGH CONCENTRATIONS OF EPINEPHRINE DERIVED FROM A CENTRAL SOURCE AND OF 5-HYDROXYINDOLE-3-ACETIC ACID IN HYPOPHYSIAL PORTAL PLASMA. Endocrinology. 113(2). 819–821. 48 indexed citations
18.
Gibbs, Daniel M. & Wylie Vale. (1983). Effect of the serotonin reuptake inhibitor fluoxetine on corticotropin-releasing factor and vasopressin secretion into hypophysial portal blood. Brain Research. 280(1). 176–179. 169 indexed citations
19.
Gibbs, Daniel M. & Wylie Vale. (1982). PRESENCE OP CORTICOTROPIN RELEASING FACTOR-LIKE IMMUNOREACTIVITY IN HYPOPHYSIAL PORTAL BLOOD. Endocrinology. 111(4). 1418–1420. 132 indexed citations
20.
Heymsfield, Steven B., Robert A. Bethel, Joseph D. Ansley, et al.. (1978). Cardiac abnormalities in cachectic patients before and during nutritional repletion. American Heart Journal. 95(5). 584–594. 153 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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