Brant Burkhardt

3.3k total citations
46 papers, 1.6k citations indexed

About

Brant Burkhardt is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Brant Burkhardt has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 31 papers in Genetics and 25 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Brant Burkhardt's work include Pancreatic function and diabetes (32 papers), Diabetes and associated disorders (31 papers) and Diabetes Management and Research (13 papers). Brant Burkhardt is often cited by papers focused on Pancreatic function and diabetes (32 papers), Diabetes and associated disorders (31 papers) and Diabetes Management and Research (13 papers). Brant Burkhardt collaborates with scholars based in United States, China and Germany. Brant Burkhardt's co-authors include Bryan A. Wolf, Jichun Yang, Mark A. Atkinson, Sally A. Litherland, Dongqi Tang, Lijun Yang, Youfei Guan, Yujing Chi, Jianmei Wu and Camella G. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Brant Burkhardt

46 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
Brant Burkhardt United States 22 795 567 542 496 168 46 1.6k
Agnes M. Azimzadeh United States 34 1.8k 2.3× 704 1.2× 482 0.9× 103 0.2× 228 1.4× 131 3.2k
Marika Falcone Italy 26 357 0.4× 690 1.2× 748 1.4× 237 0.5× 211 1.3× 42 2.3k
Dong Han China 26 180 0.2× 144 0.3× 895 1.7× 162 0.3× 113 0.7× 72 1.9k
Gretchen Darlington United States 17 334 0.4× 577 1.0× 799 1.5× 156 0.3× 226 1.3× 18 1.8k
Sotaro Mushiake Japan 21 395 0.5× 232 0.4× 558 1.0× 161 0.3× 129 0.8× 61 1.5k
Lutgart Overbergh Belgium 18 553 0.7× 351 0.6× 339 0.6× 180 0.4× 393 2.3× 24 1.9k
Verónica Azcutia United States 24 237 0.3× 138 0.2× 580 1.1× 151 0.3× 231 1.4× 45 1.9k
R Stoll Germany 20 345 0.4× 273 0.5× 343 0.6× 151 0.3× 103 0.6× 56 1.2k
Jeremy C. Parker United Kingdom 20 398 0.5× 104 0.2× 391 0.7× 350 0.7× 201 1.2× 34 1.1k

Countries citing papers authored by Brant Burkhardt

Since Specialization
Citations

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

Fields of papers citing papers by Brant Burkhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brant Burkhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Brant Burkhardt. A scholar is included among the top collaborators of Brant Burkhardt 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 Brant Burkhardt. Brant Burkhardt 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.
Bailey, Ryan, et al.. (2023). Periodontitis and cardiovascular risk factors in subjects with and without type 1 diabetes: A cross sectional analysis. Journal of Diabetes and its Complications. 37(7). 108494–108494. 3 indexed citations
2.
Stevens, Stanley M., et al.. (2022). Proteomic examination of Cornus officinalis stimulated 1.1B4 human pancreatic cells reveals activation of autophagy and Keap1/Nrf2 pathway. Molecular and Cellular Endocrinology. 557. 111773–111773. 7 indexed citations
3.
Sarkar, Anujit, et al.. (2021). Linking the oral microbiome and salivary cytokine abundance to circadian oscillations. Scientific Reports. 11(1). 2658–2658. 34 indexed citations
4.
Lönnrot, Maria, Kristian Lynch, Helena Elding Larsson, et al.. (2017). Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: the TEDDY study. Diabetologia. 60(10). 1931–1940. 122 indexed citations
5.
Wang, Xuelan, et al.. (2015). F3MB(PANDER) Decreases Mice Hepatic Triglyceride and Is Associated with Decreased DGAT1 Expression. PLoS ONE. 10(2). e0117156–e0117156. 7 indexed citations
6.
7.
Bell‐Temin, Harris, et al.. (2014). PANDER transgenic mice display fasting hyperglycemia and hepatic insulin resistance. Journal of Endocrinology. 220(3). 219–231. 16 indexed citations
8.
Lee, Hye‐Seung, Brant Burkhardt, Wendy McLeod, et al.. (2013). Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Diabetes/Metabolism Research and Reviews. 30(5). 424–434. 36 indexed citations
9.
Vehik, Kendra, Nadim J. Ajami, David Hadley, Joseph F. Petrosino, & Brant Burkhardt. (2013). The Changing Landscape of Type 1 Diabetes: Recent Developments and Future Frontiers. Current Diabetes Reports. 13(5). 642–650. 13 indexed citations
10.
Wilson, Camella G., et al.. (2011). PANcreatic-DERived factor: Novel hormone PANDERing to glucose regulation. FEBS Letters. 585(14). 2137–2143. 22 indexed citations
11.
Wilson, Camella G., et al.. (2011). PANDER KO mice on high-fat diet are glucose intolerant yet resistant to fasting hyperglycemia and hyperinsulinemia. FEBS Letters. 585(9). 1345–1349. 15 indexed citations
12.
Wu, Jianmei, et al.. (2010). Characterization of the expression, localization, and secretion of PANDER in α-cells. Molecular and Cellular Endocrinology. 325(1-2). 36–45. 18 indexed citations
13.
Yang, Jichun, Yujing Chi, Brant Burkhardt, Youfei Guan, & Bryan A. Wolf. (2010). Leucine metabolism in regulation of insulin secretion from pancreatic beta cells. Nutrition Reviews. 68(5). 270–279. 177 indexed citations
14.
Burkhardt, Brant, Joshua R. Cook, Robert C. Young, & Beni B. Wolf. (2008). PDX-1 interaction and regulation of the Pancreatic Derived Factor (PANDER, FAM3B) promoter. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1779(10). 645–651. 19 indexed citations
15.
16.
Burkhardt, Brant, Scott R. Greene, Peter White, et al.. (2006). PANDER-induced cell-death genetic networks in islets reveal central role for caspase-3 and cyclin-dependent kinase inhibitor 1A (p21). Gene. 369. 134–141. 20 indexed citations
17.
Cao, Xiaopei, Jichun Yang, Brant Burkhardt, et al.. (2005). Effects of overexpression of pancreatic derived factor (FAM3B) in isolated mouse islets and insulin-secreting βTC3 cells. American Journal of Physiology-Endocrinology and Metabolism. 289(4). E543–E550. 38 indexed citations
18.
Burkhardt, Brant, Michael Yang, Scott R. Greene, et al.. (2005). Tissue-specific and glucose-responsive expression of the pancreatic derived factor (PANDER) promoter. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1730(3). 215–225. 32 indexed citations
19.
Goudy, Kevin, Brant Burkhardt, Clive Wasserfall, et al.. (2003). Systemic Overexpression of IL-10 Induces CD4+CD25+ Cell Populations In Vivo and Ameliorates Type 1 Diabetes in Nonobese Diabetic Mice in a Dose-Dependent Fashion. The Journal of Immunology. 171(5). 2270–2278. 107 indexed citations
20.
Pérez, Elena, Stéphanie Rose, Brian D. Peyser, et al.. (2001). Human Immunodeficiency Virus Type 1 Protease Genotype Predicts Immune and Viral Responses to Combination Therapy with Protease Inhibitors (PIs) in PI‐Naive Patients. The Journal of Infectious Diseases. 183(4). 579–588. 28 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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