CHARLES E. DE LA VEGA

520 total citations
9 papers, 407 citations indexed

About

CHARLES E. DE LA VEGA is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, CHARLES E. DE LA VEGA has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 2 papers in Pharmacology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in CHARLES E. DE LA VEGA's work include Pharmacological Effects and Toxicity Studies (3 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). CHARLES E. DE LA VEGA is often cited by papers focused on Pharmacological Effects and Toxicity Studies (3 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). CHARLES E. DE LA VEGA collaborates with scholars based in Canada, United States and Czechia. CHARLES E. DE LA VEGA's co-authors include Samarthji Lal, Henry G. Friesen, Theodore L. Sourkes, Joseph B. Martin, Stanley Slater, J. Buyse, G. A. A. Albers, E. Decuypere, Tibor Bartha and J. Zoons and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

CHARLES E. DE LA VEGA

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
CHARLES E. DE LA VEGA Canada 8 133 99 87 82 60 9 407
Makoto Daiguji Japan 8 50 0.4× 153 1.5× 73 0.8× 35 0.4× 19 0.3× 13 386
E. M. Goodall United Kingdom 8 55 0.4× 182 1.8× 77 0.9× 81 1.0× 100 1.7× 11 416
Margaret F. Menadue Australia 12 147 1.1× 112 1.1× 18 0.2× 74 0.9× 134 2.2× 21 466
Eva Björkstrand Sweden 14 243 1.8× 96 1.0× 12 0.1× 91 1.1× 162 2.7× 15 673
Edmund T.S. Li Canada 12 56 0.4× 118 1.2× 10 0.1× 203 2.5× 191 3.2× 19 481
B Sadowski Poland 13 28 0.2× 262 2.6× 35 0.4× 302 3.7× 36 0.6× 39 611
A Velardo Italy 11 172 1.3× 130 1.3× 16 0.2× 88 1.1× 145 2.4× 37 480
N. Belova United States 7 100 0.8× 61 0.6× 16 0.2× 219 2.7× 159 2.6× 10 523
Elżbieta Wasilewska-Dziubińska Poland 11 64 0.5× 130 1.3× 23 0.3× 91 1.1× 259 4.3× 28 464
J M Drieze United States 12 51 0.4× 323 3.3× 17 0.2× 38 0.5× 16 0.3× 13 431

Countries citing papers authored by CHARLES E. DE LA VEGA

Since Specialization
Citations

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

Fields of papers citing papers by CHARLES E. DE LA VEGA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by CHARLES E. DE LA VEGA. 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 CHARLES E. DE LA VEGA. The network helps show where CHARLES E. DE LA VEGA may publish in the future.

Co-authorship network of co-authors of CHARLES E. DE LA VEGA

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

All Works

9 of 9 papers shown
1.
Duane, Andrea, et al.. (2025). On the evidence of contextually large fires in Europe based on return period functions. Applied Geography. 176. 103539–103539. 1 indexed citations
2.
Decuypere, E., CHARLES E. DE LA VEGA, Tibor Bartha, et al.. (1994). Increased sensitivity to triiodothyronine (T3) of broiler lines with a high susceptibility for ascites. British Poultry Science. 35(2). 287–297. 50 indexed citations
3.
Russek, M., et al.. (1987). Anorexia elicited by different catecholamines in rats. Appetite. 9(2). 119–126. 23 indexed citations
4.
VEGA, CHARLES E. DE LA, Stanley Slater, Michael G. Ziegler, C. Raymond Lake, & Dennis L. Murphy. (1977). Reduction in plasma norepinephrine during fenfluramine treatment. Clinical Pharmacology & Therapeutics. 21(2). 216–221. 16 indexed citations
5.
Slater, Stanley, CHARLES E. DE LA VEGA, Jay S. Skyler, & DennisL Murphy. (1976). Plasma prolactin stimulation by fenfluramine and amphetamine.. PubMed. 12(4). 26–7. 23 indexed citations
6.
Lal, Samarthji, Joseph B. Martin, CHARLES E. DE LA VEGA, & Henry G. Friesen. (1975). COMPARISON OF THE EFFECT OF APOMORPHINE AND l‐DOPA ON SERUM GROWTH HORMONE LEVELS IN NORMAL MEN. Clinical Endocrinology. 4(3). 277–285. 47 indexed citations
7.
Lal, Samarthji & CHARLES E. DE LA VEGA. (1975). Apomorphine and psychopathology.. Journal of Neurology Neurosurgery & Psychiatry. 38(7). 722–726. 31 indexed citations
8.
Lal, Samarthji, CHARLES E. DE LA VEGA, Theodore L. Sourkes, & Henry G. Friesen. (1973). Effect of Apomorphine on Growth Hormone, Prolactin, Luteinizing Hormone and Follicle-Stimulating Hormone Levels in Human Serum1. The Journal of Clinical Endocrinology & Metabolism. 37(5). 719–724. 139 indexed citations
9.
Lal, Samarthji, CHARLES E. DE LA VEGA, Theodore L. Sourkes, & Henry G. Friesen. (1972). EFFECT OF APOMORPHINE ON HUMAN-GROWTH-HORMONE SECRETION. The Lancet. 300(7778). 661–661. 77 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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