Kathryn J. Mitchell

2.0k total citations
15 papers, 1.6k citations indexed

About

Kathryn J. Mitchell is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Kathryn J. Mitchell has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Kathryn J. Mitchell's work include Pancreatic function and diabetes (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Kathryn J. Mitchell is often cited by papers focused on Pancreatic function and diabetes (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Kathryn J. Mitchell collaborates with scholars based in United Kingdom, United States and Italy. Kathryn J. Mitchell's co-authors include Guy A. Rutter, David Sassoon, Giovanna Marazzi, F. Anthony Lai, Edgar R. Gomes, Alice Pannérec, Vanessa Besson, Ara Parlakian, Bruno Cadot and Anikó Váradi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Nature Cell Biology.

In The Last Decade

Kathryn J. Mitchell

15 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
Kathryn J. Mitchell United Kingdom 14 1.1k 541 295 199 188 15 1.6k
Ivana Fantozzi United States 11 896 0.8× 273 0.5× 109 0.4× 165 0.8× 23 0.1× 12 2.2k
Kunhua Song United States 16 1.8k 1.7× 826 1.5× 75 0.3× 101 0.5× 39 0.2× 28 2.3k
Yan‐Shan Dai United States 20 2.0k 1.9× 379 0.7× 136 0.5× 144 0.7× 36 0.2× 37 2.6k
Matthew S. Alexander United States 22 1.5k 1.4× 141 0.3× 187 0.6× 245 1.2× 36 0.2× 57 2.0k
Ola Awad United States 18 580 0.5× 111 0.2× 230 0.8× 215 1.1× 54 0.3× 22 1.2k
Gilda Cobellis Italy 20 690 0.6× 217 0.4× 115 0.4× 61 0.3× 43 0.2× 40 1.1k
Laura Ortet Spain 6 1.3k 1.2× 201 0.4× 224 0.8× 201 1.0× 47 0.3× 7 1.9k
Daniel Vittet France 19 1.3k 1.2× 220 0.4× 158 0.5× 417 2.1× 18 0.1× 41 1.8k
Annette Meeson United Kingdom 22 1.5k 1.4× 560 1.0× 285 1.0× 219 1.1× 11 0.1× 49 2.2k
Marco Di Duca Italy 20 925 0.9× 186 0.3× 155 0.5× 194 1.0× 19 0.1× 49 1.8k

Countries citing papers authored by Kathryn J. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn J. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn J. Mitchell. 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 Kathryn J. Mitchell. The network helps show where Kathryn J. Mitchell may publish in the future.

Co-authorship network of co-authors of Kathryn J. Mitchell

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

All Works

15 of 15 papers shown
1.
Nie, Qian, Kala F. Schilter, Kyle M. Hernandez, et al.. (2025). Analytical Validation and Clinical Sensitivity of the Belay Summit Assay for the Detection of DNA Variants in Cerebrospinal Fluid of Primary and Metastatic Central Nervous System Cancer. Journal of Molecular Diagnostics. 27(7). 615–629. 7 indexed citations
2.
Avolio, Elisa, Marco Meloni, Helen Spencer, et al.. (2015). Combined Intramyocardial Delivery of Human Pericytes and Cardiac Stem Cells Additively Improves the Healing of Mouse Infarcted Hearts Through Stimulation of Vascular and Muscular Repair. Circulation Research. 116(10). e81–94. 104 indexed citations
3.
Mozzetta, Chiara, Silvia Consalvi, Valentina Saccone, et al.. (2013). Fibroadipogenic progenitors mediate the ability of HDAC inhibitors to promote regeneration in dystrophic muscles of young, but not old Mdx mice. EMBO Molecular Medicine. 5(4). 626–639. 185 indexed citations
4.
Kelly, Catriona, Mark Williams, Kathryn J. Mitchell, et al.. (2012). Expression of the nuclear factor-κB inhibitor A20 is altered in the cystic fibrosis epithelium. European Respiratory Journal. 41(6). 1315–1323. 17 indexed citations
5.
Katare, Rajesh, Federica Riu, Kathryn J. Mitchell, et al.. (2011). Transplantation of Human Pericyte Progenitor Cells Improves the Repair of Infarcted Heart Through Activation of an Angiogenic Program Involving Micro-RNA-132. Circulation Research. 109(8). 894–906. 281 indexed citations
6.
Mitchell, Kathryn J., Jeanine Peters‐Kennedy, Tracy Stokol, et al.. (2011). Diagnosis ofParelaphostrongylusspp. infection as a cause of meningomyelitis in calves. Journal of Veterinary Diagnostic Investigation. 23(6). 1097–1103. 18 indexed citations
7.
Mitchell, Kathryn J., Alice Pannérec, Bruno Cadot, et al.. (2010). Identification and characterization of a non-satellite cell muscle resident progenitor during postnatal development. Nature Cell Biology. 12(3). 257–266. 326 indexed citations
8.
Storto, Marianna, Loredana Capobianco, Giuseppe Battaglia, et al.. (2006). Insulin Secretion Is Controlled by mGlu5 Metabotropic Glutamate Receptors. Molecular Pharmacology. 69(4). 1234–1241. 46 indexed citations
9.
Váradi, Anikó, Tamara Nicolson, Marco Magistri, et al.. (2006). Intracellular ATP-sensitive K+ channels in mouse pancreatic beta cells: against a role in organelle cation homeostasis. Diabetologia. 49(7). 1567–1577. 35 indexed citations
10.
Visch, Henk-Jan, Guy A. Rutter, Werner J.H. Koopman, et al.. (2004). Inhibition of Mitochondrial Na+-Ca2+ Exchange Restores Agonist-induced ATP Production and Ca2+ Handling in Human Complex I Deficiency. Journal of Biological Chemistry. 279(39). 40328–40336. 90 indexed citations
11.
Mitchell, Kathryn J., Takashi Tsuboi, & Guy A. Rutter. (2004). Role for Plasma Membrane-Related Ca2+-ATPase-1 (ATP2C1) in Pancreatic β-Cell Ca2+ Homeostasis Revealed by RNA Silencing. Diabetes. 53(2). 393–400. 72 indexed citations
12.
Mitchell, Kathryn J., F. Anthony Lai, & Guy A. Rutter. (2003). Ryanodine Receptor Type I and Nicotinic Acid Adenine Dinucleotide Phosphate Receptors Mediate Ca2+ Release from Insulin-containing Vesicles in Living Pancreatic β-Cells (MIN6). Journal of Biological Chemistry. 278(13). 11057–11064. 152 indexed citations
13.
Savarese, Todd M., et al.. (2002). COEXPRESSION OF ONCOSTATIN M AND ITS RECEPTORS AND EVIDENCE FOR STAT3 ACTIVATION IN HUMAN OVARIAN CARCINOMAS. Cytokine. 17(6). 324–334. 46 indexed citations
14.
Mitchell, Kathryn J., Paolo Pinton, Anikó Váradi, et al.. (2001). Dense core secretory vesicles revealed as a dynamic Ca2+store in neuroendocrine cells with a vesicle-associated membrane protein aequorin chimaera. The Journal of Cell Biology. 155(1). 41–52. 165 indexed citations
15.
Savarese, Todd M., Kathryn J. Mitchell, Joanne Wuu, et al.. (2001). Coexpression of granulocyte colony stimulating factor and its receptor in primary ovarian carcinomas. Cancer Letters. 162(1). 105–115. 49 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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