Chad S. Hunter

1.9k total citations
41 papers, 1.3k citations indexed

About

Chad S. Hunter is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Chad S. Hunter has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 24 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Chad S. Hunter's work include Pancreatic function and diabetes (28 papers), Diabetes and associated disorders (19 papers) and Diabetes Management and Research (10 papers). Chad S. Hunter is often cited by papers focused on Pancreatic function and diabetes (28 papers), Diabetes and associated disorders (19 papers) and Diabetes Management and Research (10 papers). Chad S. Hunter collaborates with scholars based in United States, Germany and United Kingdom. Chad S. Hunter's co-authors include Simon J. Rhodes, Roland Stein, Roger Chalkley, Jesse J. Savage, Hubert M. Tse, Roland Stein, Catherine Lee May, Aiping Du, Ronadip R. Banerjee and Svetlana Ten 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

Chad S. Hunter

40 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad S. Hunter United States 20 659 579 557 457 95 41 1.3k
Jean-Claude Irminger Switzerland 19 639 1.0× 851 1.5× 497 0.9× 432 0.9× 59 0.6× 22 1.4k
Pamela Itkin‐Ansari United States 21 548 0.8× 957 1.7× 549 1.0× 419 0.9× 48 0.5× 36 1.4k
Ruiyu Xie China 17 864 1.3× 429 0.7× 257 0.5× 107 0.2× 116 1.2× 32 1.2k
Julia C. Lin United States 12 697 1.1× 380 0.7× 271 0.5× 260 0.6× 80 0.8× 20 1.3k
Anika Böttcher Germany 16 474 0.7× 334 0.6× 234 0.4× 143 0.3× 69 0.7× 21 800
Paolo Bartolini Brazil 20 586 0.9× 147 0.3× 218 0.4× 268 0.6× 52 0.5× 90 1.0k
Aharon Helman Israel 16 520 0.8× 426 0.7× 248 0.4× 171 0.4× 27 0.3× 22 934
Robert F. Santerre United States 18 854 1.3× 562 1.0× 266 0.5× 442 1.0× 53 0.6× 24 1.7k
Wenning Qin United States 15 534 0.8× 200 0.3× 176 0.3× 178 0.4× 45 0.5× 24 974
Julie Rivière France 13 501 0.8× 466 0.8× 142 0.3× 337 0.7× 530 5.6× 28 1.3k

Countries citing papers authored by Chad S. Hunter

Since Specialization
Citations

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

Fields of papers citing papers by Chad S. Hunter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad S. Hunter. 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 Chad S. Hunter. The network helps show where Chad S. Hunter may publish in the future.

Co-authorship network of co-authors of Chad S. Hunter

This figure shows the co-authorship network connecting the top 25 collaborators of Chad S. Hunter. A scholar is included among the top collaborators of Chad S. Hunter 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 Chad S. Hunter. Chad S. Hunter 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.
2.
Liu, Yan, et al.. (2023). The SSBP3 co-regulator is required for glucose homeostasis, pancreatic islet architecture, and beta-cell identity. Molecular Metabolism. 76. 101785–101785. 5 indexed citations
3.
Young, Martin E., et al.. (2022). Islet transplantation into brown adipose tissue can delay immune rejection. JCI Insight. 7(4). 14 indexed citations
4.
Kim, Teayoun, Jodi R. Paul, Cassie Holleman, et al.. (2021). Glucagon-receptor signaling regulates weight loss via central KLB receptor complexes. JCI Insight. 6(4). 25 indexed citations
5.
Kozlovskaya, Veronika, Karen Seeberger, Purushothaman Kuppan, et al.. (2021). Xenotransplantation of tannic acid‐encapsulated neonatal porcine islets decreases proinflammatory innate immune responses. Xenotransplantation. 28(6). e12706–e12706. 11 indexed citations
6.
Liu, Yanping, Teayoun Kim, Cheryl Cero, et al.. (2021). The transcriptional co-regulator LDB1 is required for brown adipose function. Molecular Metabolism. 53. 101284–101284. 2 indexed citations
7.
Shalev, Anath, et al.. (2021). LDB1-mediated transcriptional complexes are sensitive to islet stress. Islets. 14(1). 58–68. 3 indexed citations
8.
Liu, Yan, et al.. (2019). LIM-domain transcription complexes interact with ring-finger ubiquitin ligases and thereby impact islet β-cell function. Journal of Biological Chemistry. 294(31). 11728–11740. 18 indexed citations
9.
Pepin, Mark E., et al.. (2019). Prolactin Receptor Signaling Regulates a Pregnancy-Specific Transcriptional Program in Mouse Islets. Endocrinology. 160(5). 1150–1163. 19 indexed citations
10.
Liu, Yan, Rachel D. Mullen, R. C. Gupta, et al.. (2019). The islet-expressed Lhx1 transcription factor interacts with Islet-1 and contributes to glucose homeostasis. American Journal of Physiology-Endocrinology and Metabolism. 316(3). E397–E409. 12 indexed citations
11.
Padgett, Lindsey E., Bing Xue, Brian Anderson, et al.. (2017). Islet encapsulation with polyphenol coatings decreases pro-inflammatory chemokine synthesis and T cell trafficking. Biomaterials. 128. 19–32. 71 indexed citations
12.
Maier, Bernhard, Sarah A. Tersey, Amber L. Mosley, et al.. (2015). Transcriptional Activity of the Islet β Cell Factor Pdx1 Is Augmented by Lysine Methylation Catalyzed by the Methyltransferase Set7/9. Journal of Biological Chemistry. 290(15). 9812–9822. 39 indexed citations
13.
Hunter, Chad S. & Roland Stein. (2012). Characterization of an Apparently Novel β-Cell Line-enriched 80–88 kDa Transcriptional Activator of the MafA and Pdx1 Genes. Journal of Biological Chemistry. 288(6). 3795–3803. 3 indexed citations
14.
Liu, Jingxuan, Chad S. Hunter, Aiping Du, et al.. (2011). Islet-1 Regulates Arx Transcription during Pancreatic Islet α-Cell Development. Journal of Biological Chemistry. 286(17). 15352–15360. 32 indexed citations
15.
Raum, Jeffrey C., Chad S. Hunter, Isabella Artner, et al.. (2010). Islet β-Cell-Specific MafA Transcription Requires the 5′-Flanking Conserved Region 3 Control Domain. Molecular and Cellular Biology. 30(17). 4234–4244. 37 indexed citations
16.
Hunter, Chad S., M.A. Maestro, Jeffrey C. Raum, et al.. (2010). Hnf1α (MODY3) Regulates β-Cell-Enriched MafA Transcription Factor Expression. Molecular Endocrinology. 25(2). 339–347. 14 indexed citations
17.
Yaden, Benjamin C., Jesse J. Savage, Chad S. Hunter, & Simon J. Rhodes. (2005). DNA recognition properties of the LHX3b LIM homeodomain transcription factor. Molecular Biology Reports. 32(1). 1–6. 16 indexed citations
18.
Hunter, Chad S. & Simon J. Rhodes. (2005). LIM-homeodomain genes in mammalian development and human disease. Molecular Biology Reports. 32(2). 67–77. 92 indexed citations
19.
Hunter, Chad S., Aaron D. Showalter, Timothy P. L. Smith, et al.. (2004). Conserved amino acid sequences confer nuclear localization upon the Prophet of Pit-1 pituitary transcription factor protein. Gene. 336(2). 263–273. 13 indexed citations
20.
Hunter, Chad S.. (1988). Process Cloning: A System for Duplicating UNIX Processes.. 56(4). 373–379. 2 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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