David Hwang

4.4k total citations · 2 hit papers
72 papers, 3.4k citations indexed

About

David Hwang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, David Hwang has authored 72 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 33 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Cancer Research. Recurrent topics in David Hwang's work include Growth Hormone and Insulin-like Growth Factors (21 papers), Metabolism, Diabetes, and Cancer (18 papers) and Cancer, Hypoxia, and Metabolism (8 papers). David Hwang is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (21 papers), Metabolism, Diabetes, and Cancer (18 papers) and Cancer, Hypoxia, and Metabolism (8 papers). David Hwang collaborates with scholars based in United States, Italy and South Korea. David Hwang's co-authors include Pinchas Cohen, Arye Lev-Ran, Gil Atzmon, Nir Barzilai, Valter D. Longo, Yousin Suh, Federica Madia, Min Wei, Daniel J. Leahy and Bingrong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

David Hwang

72 papers receiving 3.3k citations

Hit Papers

Growth Hormone Receptor Deficiency Is Associated with a M... 2008 2026 2014 2020 2011 2008 100 200 300 400 500

Peers

David Hwang
Mingyi Wang United States
Daniel Turyn Argentina
David G. Monroe United States
Caroline Wilson United Kingdom
Charles K. Lumpkin United States
Glenda L. Evans United States
Matej Durik Netherlands
David Hwang
Citations per year, relative to David Hwang David Hwang (= 1×) peers Antonella Farsetti

Countries citing papers authored by David Hwang

Since Specialization
Citations

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

Fields of papers citing papers by David Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of David Hwang. A scholar is included among the top collaborators of David 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 David Hwang. David 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.
Abel, Alex, Kamalakannan Rajasekaran, David Hwang, et al.. (2015). IQGAP1: Insights into the function of a molecular puppeteer. Molecular Immunology. 65(2). 336–349. 76 indexed citations
2.
Moody, Gordon, Pedro J. Beltran, Petia Mitchell, et al.. (2014). IGF1R blockade with ganitumab results in systemic effects on the GH–IGF axis in mice. Journal of Endocrinology. 221(1). 145–155. 19 indexed citations
3.
Kim, Hye‐Ran, Sangwoo Lim, David Hwang, et al.. (2012). Usefulness of plasma epigenetic changes of five major genes involved in the pathogenesis of colorectal cancer. International Journal of Colorectal Disease. 28(1). 139–147. 35 indexed citations
4.
Yamada, Paulette M., et al.. (2010). Evidence of a Role for Insulin-Like Growth Factor Binding Protein (IGFBP)-3 in Metabolic Regulation. Endocrinology. 151(12). 5741–5750. 42 indexed citations
5.
Lee, Changhan, Fernando M. Safdie, Lizzia Raffaghello, et al.. (2010). Reduced Levels of IGF-I Mediate Differential Protection of Normal and Cancer Cells in Response to Fasting and Improve Chemotherapeutic Index. Cancer Research. 70(4). 1564–1572. 239 indexed citations
6.
Zhao, Yong, et al.. (2010). New type of human blood stem cell: a double-edged sword for the treatment of type 1 diabetes. Translational research. 155(5). 211–216. 17 indexed citations
7.
Mavropoulos, John C., W. Cooper Buschemeyer, Alok K. Tewari, et al.. (2009). The Effects of Varying Dietary Carbohydrate and Fat Content on Survival in a Murine LNCaP Prostate Cancer Xenograft Model. Cancer Prevention Research. 2(6). 557–565. 86 indexed citations
8.
Muzumdar, Radhika, Derek M. Huffman, Gil Atzmon, et al.. (2009). Humanin: A Novel Central Regulator of Peripheral Insulin Action. PLoS ONE. 4(7). e6334–e6334. 202 indexed citations
9.
Fan, Yong, Ram K. Menon, Pinchas Cohen, et al.. (2009). Liver-specific Deletion of the Growth Hormone Receptor Reveals Essential Role of Growth Hormone Signaling in Hepatic Lipid Metabolism. Journal of Biological Chemistry. 284(30). 19937–19944. 206 indexed citations
10.
Raina, Komal, Marie‐José Blouin, Rana P. Singh, et al.. (2007). Dietary Feeding of Silibinin Inhibits Prostate Tumor Growth and Progression in Transgenic Adenocarcinoma of the Mouse Prostate Model. Cancer Research. 67(22). 11083–11091. 65 indexed citations
11.
Beltran, Pedro J., Petia Mitchell, David Hwang, et al.. (2007). Inhibition of endocrine IGF-1 signaling in normal murine tissues and human tumor xenografts with AMG 479, a fully human anti IGF-1R monoclonal antibody. Molecular Cancer Therapeutics. 6. 4 indexed citations
12.
Freedland, Stephen J., John C. Mavropoulos, Medha S. Darshan, et al.. (2007). Carbohydrate restriction, prostate cancer growth, and the insulin‐like growth factor axis. The Prostate. 68(1). 11–19. 124 indexed citations
13.
Anzo, Makoto, David Hwang, Shoshana Yakar, Derek LeRoith, & Pinchas Cohen. (2006). P-47 DELETION OF THE HEPATIC IGF-1 GENE IN TRAMP MICE LEADS TO DRAMATIC ALTERATIONS IN THE CIRCULATING IGF AXIS BUT DOES NOT REDUCE TUMOR PROGRESSION. Growth Hormone & IGF Research. 16. S33–S34. 2 indexed citations
14.
Hwang, David, et al.. (2003). Elevated insulin, proinsulin and insulin-like growth factor-binding protein-1 in liver disease. Growth Hormone & IGF Research. 13(6). 316–321. 21 indexed citations
15.
Lev-Ran, Arye, David Hwang, Jonathan Ben‐Ezra, & Lawrence E. Williams. (1992). ORIGIN OF URINARY EPIDERMAL GROWTH FACTOR IN HUMANS: EXCRETION OF ENDOGENOUS EGF AND INFUSED [131I]‐HUMAN EGF AND KIDNEY HISTOCHEMISTRY. Clinical and Experimental Pharmacology and Physiology. 19(10). 667–673. 12 indexed citations
16.
Hwang, David, et al.. (1992). Effects of platelet-contained growth factors (PDGF, EGF, IGF-I, and TGF-β) on DNA synthesis in porcine aortic smooth muscle cells in culture. Experimental Cell Research. 200(2). 358–360. 50 indexed citations
17.
Lev-Ran, Arye & David Hwang. (1990). Epidermal growth factor in blood and urine of athyreotic adults.. PubMed. 8(4). 184–7. 1 indexed citations
18.
Lev-Ran, Arye & David Hwang. (1990). Epidermal growth factor and platelet-derived growth factor in blood in diabetes mellitus. European Journal of Endocrinology. 123(3). 326–330. 18 indexed citations
19.
Hwang, David & Arye Lev-Ran. (1990). Epidermal growth factor in serum, urine, submandibular glands and kidneys of diabetic mice. Life Sciences. 47(8). 679–685. 8 indexed citations
20.
Hwang, David, Arye Lev-Ran, Thomas Papoian, & Walter Beech. (1987). Insulin-like activity of chromium-binding fractions from brewer's yeast. Journal of Inorganic Biochemistry. 30(3). 219–225. 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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