John Sterpka

754 total citations
8 papers, 551 citations indexed

About

John Sterpka is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, John Sterpka has authored 8 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in John Sterpka's work include Pancreatic function and diabetes (4 papers), Diet, Metabolism, and Disease (3 papers) and Parathyroid Disorders and Treatments (2 papers). John Sterpka is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diet, Metabolism, and Disease (3 papers) and Parathyroid Disorders and Treatments (2 papers). John Sterpka collaborates with scholars based in United States and Japan. John Sterpka's co-authors include Karl Insogna, William M. Philbrick, Thomas O. Carpenter, Martin Kriegel, Rebecca Fine, Carina Dehner, Teri M. Greiling, Daniel F. Zegarra-Ruiz, Sílvio M. Vieira and William Ruff and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Biochemical and Biophysical Research Communications.

In The Last Decade

John Sterpka

8 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Sterpka United States 7 254 186 142 119 110 8 551
Kelly M. Burkett Canada 11 182 0.7× 279 1.5× 238 1.7× 54 0.5× 50 0.5× 26 713
Tsukasa Takemura Japan 12 150 0.6× 160 0.9× 42 0.3× 25 0.2× 31 0.3× 48 531
Olga I. Kolek United States 7 205 0.8× 361 1.9× 208 1.5× 58 0.5× 99 0.9× 8 571
Frank G. Hustmyer United States 11 204 0.8× 41 0.2× 149 1.0× 50 0.4× 123 1.1× 14 692
Anna Reznichenko Sweden 10 160 0.6× 97 0.5× 117 0.8× 16 0.1× 39 0.4× 18 445
Viola Klück Netherlands 8 369 1.5× 294 1.6× 34 0.2× 79 0.7× 22 0.2× 16 595
Yurong Qiu China 9 180 0.7× 42 0.2× 49 0.3× 91 0.8× 22 0.2× 23 361
José Guilherme Ferreira Marques Galvão Brazil 7 97 0.4× 139 0.7× 22 0.2× 20 0.2× 40 0.4× 26 403
Tung‐Nan Liao Taiwan 14 174 0.7× 103 0.6× 27 0.2× 27 0.2× 36 0.3× 20 601
Tomasz Dawiskiba Poland 11 257 1.0× 45 0.2× 61 0.4× 20 0.2× 22 0.2× 32 545

Countries citing papers authored by John Sterpka

Since Specialization
Citations

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

Fields of papers citing papers by John Sterpka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sterpka

This figure shows the co-authorship network connecting the top 25 collaborators of John Sterpka. A scholar is included among the top collaborators of John Sterpka 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 John Sterpka. John Sterpka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Madiraju, Anila K., Tiago C. Alves, Rebecca Cardone, et al.. (2019). Mitochondrial GTP Links Nutrient Sensing to β Cell Health, Mitochondrial Morphology, and Insulin Secretion Independent of OxPhos. Cell Reports. 28(3). 759–772.e10. 46 indexed citations
2.
Zegarra-Ruiz, Daniel F., Martina Lubrano di Ricco, Sílvio M. Vieira, et al.. (2018). A Diet-Sensitive Commensal Lactobacillus Strain Mediates TLR7-Dependent Systemic Autoimmunity. Cell Host & Microbe. 25(1). 113–127.e6. 231 indexed citations
3.
Liu, Dongqing, John Sterpka, Daniel F. Vatner, et al.. (2018). Targeting Ketohexokinase (KHK) with a Novel Antisense Oligonucleotide (ASO) Decreases De Novo Lipogenesis and Improves Insulin-Mediated Whole Body Glucose Metabolism. Diabetes. 67(Supplement_1). 2 indexed citations
4.
Ardeshirpour, Laleh, Pamela Dann, John Sterpka, et al.. (2015). OPG Treatment Prevents Bone Loss During Lactation But Does Not Affect Milk Production or Maternal Calcium Metabolism. Endocrinology. 156(8). 2762–2773. 26 indexed citations
5.
Connor, Jessica, Karl Insogna, Lee D. Katz, et al.. (2015). Conventional Therapy in Adults With X-Linked Hypophosphatemia: Effects on Enthesopathy and Dental Disease. The Journal of Clinical Endocrinology & Metabolism. 100(10). 3625–3632. 100 indexed citations
6.
Carpenter, Thomas O., Bruce Ellis, Karl Insogna, et al.. (2005). Fibroblast Growth Factor 7: An Inhibitor of Phosphate Transport Derived from Oncogenic Osteomalacia-Causing Tumors. The Journal of Clinical Endocrinology & Metabolism. 90(2). 1012–1020. 101 indexed citations
7.
Zawalich, Walter S., Kathleen C. Zawalich, Gregory J. Tesz, et al.. (2004). Effects of muscarinic receptor type 3 knockout on mouse islet secretory responses. Biochemical and Biophysical Research Communications. 315(4). 872–876. 33 indexed citations
8.
Zawalich, Walter S., Kathleen C. Zawalich, Gregory J. Tesz, John Sterpka, & William M. Philbrick. (2001). Insulin secretion and IP levels in two distant lineages of the genusMus: comparisons with rat islets. American Journal of Physiology-Endocrinology and Metabolism. 280(5). E720–E728. 12 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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