Bryan L. Spangelo

2.0k total citations
39 papers, 1.7k citations indexed

About

Bryan L. Spangelo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Bryan L. Spangelo has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 9 papers in Behavioral Neuroscience. Recurrent topics in Bryan L. Spangelo's work include Growth Hormone and Insulin-like Growth Factors (10 papers), Stress Responses and Cortisol (9 papers) and Adrenal Hormones and Disorders (7 papers). Bryan L. Spangelo is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (10 papers), Stress Responses and Cortisol (9 papers) and Adrenal Hormones and Disorders (7 papers). Bryan L. Spangelo collaborates with scholars based in United States, Canada and Japan. Bryan L. Spangelo's co-authors include Robert M. MacLeod, Peter C. Isakson, Allan M. Judd, William C. Gorospe, Allan L. Goldstein, W. David Jarvis, Nicholas R. Hall, Ivan S. Login, D. Wayne Goodman and Mahnaz Badamchian and has published in prestigious journals such as Annals of Neurology, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

Bryan L. Spangelo

39 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan L. Spangelo United States 20 537 471 376 339 271 39 1.7k
Junichi Fukata Japan 25 853 1.6× 509 1.1× 509 1.4× 803 2.4× 333 1.2× 66 2.4k
H Stępień Poland 28 627 1.2× 404 0.9× 802 2.1× 112 0.3× 355 1.3× 179 2.6k
F. Homo‐Delarche France 24 481 0.9× 385 0.8× 416 1.1× 247 0.7× 230 0.8× 55 2.0k
N Ling United States 24 769 1.4× 227 0.5× 939 2.5× 349 1.0× 439 1.6× 42 2.5k
Giacomo Pozzoli Italy 22 242 0.5× 250 0.5× 575 1.5× 431 1.3× 179 0.7× 57 1.9k
Silvia Belcredito Italy 12 272 0.5× 230 0.5× 405 1.1× 147 0.4× 170 0.6× 15 1.3k
Tatsuo Furukawa Japan 27 151 0.3× 516 1.1× 814 2.2× 106 0.3× 586 2.2× 200 2.5k
Dominic J. Autelitano Australia 28 469 0.9× 92 0.2× 1.0k 2.7× 281 0.8× 523 1.9× 57 2.2k
Marcelo Páez-Pereda Germany 35 1.4k 2.6× 454 1.0× 1.4k 3.8× 468 1.4× 481 1.8× 85 3.8k
Ana C. Liberman Argentina 18 364 0.7× 471 1.0× 424 1.1× 150 0.4× 204 0.8× 38 1.4k

Countries citing papers authored by Bryan L. Spangelo

Since Specialization
Citations

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

Fields of papers citing papers by Bryan L. Spangelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan L. Spangelo. 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 Bryan L. Spangelo. The network helps show where Bryan L. Spangelo may publish in the future.

Co-authorship network of co-authors of Bryan L. Spangelo

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan L. Spangelo. A scholar is included among the top collaborators of Bryan L. Spangelo 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 Bryan L. Spangelo. Bryan L. Spangelo 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.
Giau, Vo Van, et al.. (2013). Synthesis of [PtCl2(4,4′-dialkoxy-2,2′-bipyridine)] complexes and their in vitro anticancer properties. Metallomics. 5(8). 973–973. 7 indexed citations
2.
Hughes, Francis M., et al.. (2008). γ-Aminobutyric Acid Inhibits Synergistic Interleukin-6 Release but Not Transcriptional Activation in Astrocytoma Cells. NeuroImmunoModulation. 15(2). 117–124. 10 indexed citations
3.
Spangelo, Bryan L., et al.. (2007). Thymosin Fraction‐5 Possesses Antiproliferative Properties in HL‐60 Human Promyelocytic Leukemia Cells. Annals of the New York Academy of Sciences. 1112(1). 305–316. 3 indexed citations
4.
Spangelo, Bryan L., et al.. (2005). Presence of a peptide component of thymosin fraction-5 manifesting discrete cytostatic properties in HL-60 human promyelocytic leukemia cells. International Immunopharmacology. 5(7-8). 1317–1329. 7 indexed citations
5.
Spangelo, Bryan L., et al.. (2000). Interleukin‐1β and Thymic Peptide Regulation of Pituitary and Glial Cell Cytokine Expression and Cellular Proliferation. Annals of the New York Academy of Sciences. 917(1). 597–607. 17 indexed citations
6.
7.
Spangelo, Bryan L., et al.. (1995). Role of the Cytokines in the Hypothalamic-Pituitary-Adrenal and Gonadal Axes. NeuroImmunoModulation. 2(5). 299–312. 76 indexed citations
8.
Spangelo, Bryan L. & William C. Gorospe. (1995). Role of the Cytokines in the Neuroendocrine-Immune System Axis. Frontiers in Neuroendocrinology. 16(1). 1–22. 105 indexed citations
9.
Badamchian, Mahnaz, et al.. (1993). Thymosin stimulates interleukin-6 production from rat spleen cells in vitro. Immunopharmacology. 26(2). 171–179. 7 indexed citations
10.
Spangelo, Bryan L., Allan M. Judd, Peter C. Isakson, & Robert M. MacLeod. (1991). Interleukin-1 Stimulates Interleukin-6 Release from Rat Anterior Pituitary Cellsin Vitro*. Endocrinology. 128(6). 2685–2692. 80 indexed citations
11.
Spangelo, Bryan L., W. David Jarvis, Allan M. Judd, & Robert M. MacLeod. (1991). Induction of Interleukin-6 Release by Interleukin-1 in Rat Anterior Pituitary Cellsin Vitro: Evidence for an Eicosanoid-Dependent Mechanism*. Endocrinology. 129(6). 2886–2894. 55 indexed citations
12.
Spangelo, Bryan L., Robert M. MacLeod, & Peter C. Isakson. (1990). Production of Interleukin-6 by Anterior Pituitary Cellsin Vitro*. Endocrinology. 126(1). 582–586. 154 indexed citations
13.
Spangelo, Bryan L. & Robert M. MacLeod. (1990). The role of immunopeptides in the regulation of anterior pituitary hormone release. Trends in Endocrinology and Metabolism. 1(8). 408–412. 11 indexed citations
14.
15.
Spangelo, Bryan L., Peter C. Isakson, & Robert M. MacLeod. (1990). Production of Interleukin-6 by Anterior Pituitary Cells Is Stimulated by Increased Intracellular Adenosine 3′,5′ Monophosphate and Vasoactive Intestinal Peptide*. Endocrinology. 127(1). 403–409. 84 indexed citations
16.
Spangelo, Bryan L., et al.. (1989). Thymic stromal elements contain an anterior pituitary hormone-stimulating activity. Journal of Neuroimmunology. 25(1). 37–46. 15 indexed citations
17.
Judd, Allan M., et al.. (1988). Angiotensin II increases pituitary cell prolactin release and arachidonate liberation. Molecular and Cellular Endocrinology. 57(1-2). 115–121. 11 indexed citations
18.
Spangelo, Bryan L., Allan M. Judd, Ivan S. Login, et al.. (1987). Thymosin Fraction 5 Stimulates Prolactin and Growth Hormone Release from Anterior Pituitary Cellsin Vitro*. Endocrinology. 121(6). 2035–2043. 35 indexed citations
19.
Spangelo, Bryan L., et al.. (1987). Stimulation of in vivo antibody production and concanavalin-A-induced mouse spleen cell mitogenesis by prolactin. Immunopharmacology. 14(1). 11–20. 101 indexed citations
20.
Login, Ivan S., et al.. (1987). Immunoglobulins of Lambert‐Eaton myasthenic syndrome inhibit rat pituitary hormone release. Annals of Neurology. 22(5). 610–614. 19 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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