Bang H. Hwang

3.2k total citations · 1 hit paper
49 papers, 2.6k citations indexed

About

Bang H. Hwang is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Bang H. Hwang has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 21 papers in Endocrine and Autonomic Systems and 14 papers in Molecular Biology. Recurrent topics in Bang H. Hwang's work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (14 papers) and Neuroscience of respiration and sleep (13 papers). Bang H. Hwang is often cited by papers focused on Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (14 papers) and Neuroscience of respiration and sleep (13 papers). Bang H. Hwang collaborates with scholars based in United States, Japan and Sweden. Bang H. Hwang's co-authors include Denis G. Baskin, Michael W. Schwartz, Gregory J. Morton, Joshua P. Thaler, Stephan J. Guyenet, Nguyễn Thị Hồng, David A. Sarruf, Brent E. Wisse, Chun‐Xia Yi and Matthias H. Tschöp and has published in prestigious journals such as Journal of Clinical Investigation, Brain Research and Endocrinology.

In The Last Decade

Bang H. Hwang

48 papers receiving 2.6k citations

Hit Papers

Obesity is associated with hypothalamic injury in rodents... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bang H. Hwang United States 21 1.2k 891 782 632 380 49 2.6k
Mieko Kurosawa Japan 29 698 0.6× 732 0.8× 593 0.8× 401 0.6× 127 0.3× 78 2.9k
Xin‐Yun Lu United States 36 1.8k 1.5× 1.2k 1.3× 1.1k 1.4× 913 1.4× 579 1.5× 72 4.6k
Stephan J. Guyenet United States 20 1.3k 1.1× 1.3k 1.5× 513 0.7× 818 1.3× 612 1.6× 23 3.5k
Dianne P. Figlewicz United States 37 2.6k 2.2× 1.7k 1.9× 1.2k 1.5× 851 1.3× 388 1.0× 65 4.9k
Cristina García‐Cáceres Germany 30 1.7k 1.4× 1.1k 1.3× 282 0.4× 397 0.6× 548 1.4× 55 3.0k
Ruiqian Wan United States 31 559 0.5× 2.2k 2.5× 779 1.0× 1.1k 1.8× 418 1.1× 42 4.2k
D.P. Figlewicz United States 24 1.7k 1.5× 1.1k 1.3× 712 0.9× 486 0.8× 180 0.5× 40 2.8k
J. M. Overton United States 32 1.1k 1.0× 1.3k 1.4× 448 0.6× 568 0.9× 224 0.6× 74 3.3k
William T. Talman United States 35 2.0k 1.7× 1.1k 1.2× 1.3k 1.6× 814 1.3× 104 0.3× 109 3.6k
Kate L. J. Ellacott United Kingdom 29 1.9k 1.7× 1.3k 1.5× 416 0.5× 477 0.8× 501 1.3× 47 3.1k

Countries citing papers authored by Bang H. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Bang H. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bang H. Hwang. 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 Bang H. Hwang. The network helps show where Bang H. Hwang may publish in the future.

Co-authorship network of co-authors of Bang H. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Bang H. Hwang. A scholar is included among the top collaborators of Bang H. Hwang 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 Bang H. Hwang. Bang H. Hwang 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.
Thaler, Joshua P., Chun‐Xia Yi, Ellen A. Schur, et al.. (2011). Obesity is associated with hypothalamic injury in rodents and humans. Journal of Clinical Investigation. 122(1). 153–162. 1409 indexed citations breakdown →
6.
Hwang, Bang H., Guo‐Ming Wang, David T. Wong, Lawrence Lumeng, & T.-K. Li. (2000). Norepinephrine Uptake Sites in the Locus Coeruleus of Rat Lines Selectively Bred for High and Low Alcohol Preference: A Quantitative Autoradiographic Binding Study Using [3H]-Tomoxetine. Alcoholism Clinical and Experimental Research. 24(5). 588–594. 3 indexed citations
8.
Narita, Minoru, Hirokazu Mizoguchi, Michiko Narita, et al.. (2000). G protein activation by endomorphins in the mouse periaqueductal gray matter. Journal of Biomedical Science. 7(3). 221–225. 24 indexed citations
9.
Ehlers, Cindy L., Christine Somes, Ting‐Kai Li, et al.. (1999). Calcitonin gene-related peptide (CGRP) levels and alcohol. The International Journal of Neuropsychopharmacology. 2(3). 173–179. 17 indexed citations
10.
Hwang, Bang H., et al.. (1999). Innate Differences of Neuropeptide Y (NPY) in Hypothalamic Nuclei and Central Nucleus of the Amygdala Between Selectively Bred Rats with High and Low Alcohol Preference. Alcoholism Clinical and Experimental Research. 23(6). 1023–1023. 3 indexed citations
11.
Narita, Minoru, Hirokazu Mizoguchi, Michiko Narita, et al.. (1999). Identification of the G‐protein‐coupled ORL1 receptor in the mouse spinal cord by [35S]‐GTPγS binding and immunohistochemistry. British Journal of Pharmacology. 128(6). 1300–1306. 36 indexed citations
12.
June, Harry L., et al.. (1998). The novel benzodiazepine inverse agonist RO19-4603 antagonizes ethanol motivated behaviors: neuropharmacological studies. Brain Research. 784(1-2). 256–275. 35 indexed citations
13.
Kunkler, Phillip E. & Bang H. Hwang. (1995). Lower GABAA receptor binding in the amygdala and hypothalamus of spontaneously hypertensive rats. Brain Research Bulletin. 36(1). 57–61. 44 indexed citations
14.
Kunkler, Phillip E., Guo‐Ming Wang, & Bang H. Hwang. (1994). Galanin-containing neurons in the solitary nucleus and locus coeruleus of spontaneously hypertensive rats are associated with genetic hypertension. Brain Research. 651(1-2). 349–352. 16 indexed citations
15.
Hwang, Bang H. & Guo‐Ming Wang. (1993). A rapid and sensitive radioimmunohistochemical assay for quantitation of vasopressin in discrete brain regions with an anatomical resolution. Journal of Neuroscience Methods. 50(1). 37–44. 11 indexed citations
17.
Hwang, Bang H., Lawrence Lumeng, Jang‐Yen Wu, & Ting‐Kai Li. (1990). Increased Number of GABAergic Terminals in the Nucleus Accumbens Is Associated with Alcohol Preference in Rats. Alcoholism Clinical and Experimental Research. 14(4). 503–507. 57 indexed citations
18.
Hwang, Bang H., Terence H. Williams, & Jean Y. Jew. (1986). Plasticity of catecholaminergic terminals in rat paraventicular hypothalamic nucleus after 6-Hydroxydopamine lesion: an emphasis on bouton sizes and synaptic frequency. Brain Research. 369(1-2). 267–274. 6 indexed citations
19.
Hwang, Bang H., Jang‐Yen Wu, Caroline Wieczorek, et al.. (1986). Different pharmacological anatomy in the paraventricular hypothalamic nucleus, supraoptic nucleus, and suprachiasmatic nucleus of rats: Quantitative autoradiography on angiotensin II receptor binding sites. American Journal of Anatomy. 176(2). 243–247. 8 indexed citations
20.
Hwang, Bang H.. (1982). Fluorescence and electron microscopic study of the tree shrew pineal organ. Journal of Neural Transmission. 53(2-3). 193–212. 6 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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