Y. Frank

2.4k total citations
53 papers, 1.9k citations indexed

About

Y. Frank is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Y. Frank has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nephrology, 17 papers in Molecular Biology and 13 papers in Immunology. Recurrent topics in Y. Frank's work include Chronic Kidney Disease and Diabetes (14 papers), Renal Diseases and Glomerulopathies (10 papers) and Acute Kidney Injury Research (8 papers). Y. Frank is often cited by papers focused on Chronic Kidney Disease and Diabetes (14 papers), Renal Diseases and Glomerulopathies (10 papers) and Acute Kidney Injury Research (8 papers). Y. Frank collaborates with scholars based in Australia, United States and China. Y. Frank's co-authors include David J. Nikolic‐Paterson, Greg H. Tesch, Yingjie Han, Elyce Ozols, Carl L. Manthey, Brydon L. Bennett, Glenn C. Friedman, John Kanellis, David R. Grattan and Robert S Flanc and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Y. Frank

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Frank Australia 23 739 586 406 275 228 53 1.9k
Wai Han Yiu Hong Kong 23 787 1.1× 597 1.0× 467 1.2× 219 0.8× 120 0.5× 53 2.1k
Ming‐Jiang Xu China 22 626 0.8× 458 0.8× 280 0.7× 230 0.8× 148 0.6× 37 1.7k
Raquel Rodrigues‐Díez Spain 25 730 1.0× 311 0.5× 313 0.8× 239 0.9× 190 0.8× 45 1.6k
Junhui Zhen China 23 807 1.1× 575 1.0× 288 0.7× 189 0.7× 172 0.8× 54 2.0k
Denis Féliers United States 31 1.2k 1.7× 488 0.8× 292 0.7× 335 1.2× 137 0.6× 57 2.4k
Joan C. Krepinsky Canada 28 894 1.2× 543 0.9× 142 0.3× 267 1.0× 132 0.6× 68 1.9k
Shinong Wang United States 21 1.1k 1.5× 619 1.1× 177 0.4× 172 0.6× 195 0.9× 28 2.2k
Shaoyuan Cui China 24 709 1.0× 455 0.8× 198 0.5× 386 1.4× 126 0.6× 66 1.9k
Catharine Whiteside Canada 33 1.2k 1.6× 682 1.2× 267 0.7× 298 1.1× 122 0.5× 73 2.4k
Yasushi Shikata Japan 20 763 1.0× 488 0.8× 295 0.7× 124 0.5× 128 0.6× 38 1.8k

Countries citing papers authored by Y. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Y. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Frank. A scholar is included among the top collaborators of Y. Frank 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 Y. Frank. Y. Frank 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.
Bogot, Naama, Yigal Helviz, Lorenzo Ball, et al.. (2023). Distribution of Aeration and Pulmonary Blood Volume in Healthy, ARDS and COVID-19 Lungs: A Dual-Energy Computed Tomography Retrospective Cohort Study. Academic Radiology. 30(11). 2548–2556. 1 indexed citations
2.
Ditkofsky, Noah, et al.. (2022). Understanding Ballistic Injuries. Radiologic Clinics of North America. 61(1). 119–128. 4 indexed citations
3.
Tian, Lifang, Greg H. Tesch, Elyce Ozols, et al.. (2021). Mice with Established Diabetes Show Increased Susceptibility to Renal Ischemia/Reperfusion Injury. American Journal Of Pathology. 192(3). 441–453. 5 indexed citations
4.
Ozols, Elyce, William R. Mulley, Roger J. Davis, et al.. (2021). JUN Amino-Terminal Kinase 1 Signaling in the Proximal Tubule Causes Cell Death and Acute Renal Failure in Rat and Mouse Models of Renal Ischemia/Reperfusion Injury. American Journal Of Pathology. 191(5). 817–828. 12 indexed citations
5.
Yang, Fan, Elyce Ozols, Y. Frank, et al.. (2021). c-Jun Amino Terminal Kinase Signaling Promotes Aristolochic Acid-Induced Acute Kidney Injury. Frontiers in Physiology. 12. 599114–599114. 11 indexed citations
6.
7.
Han, Yingjie, Greg H. Tesch, Julie Di Paolo, et al.. (2017). Inhibition of Spleen Tyrosine Kinase Reduces Renal Allograft Injury in a Rat Model of Acute Antibody-Mediated Rejection in Sensitized Recipients. Transplantation. 101(8). e240–e248. 11 indexed citations
8.
Frank, Y., et al.. (2017). The JNK Signaling Pathway in Renal Fibrosis. Frontiers in Physiology. 8. 829–829. 172 indexed citations
9.
Frank, Y., Kate Blease, & David J. Nikolic‐Paterson. (2016). A role for spleen tyrosine kinase in renal fibrosis in the mouse obstructed kidney. Life Sciences. 146. 192–200. 14 indexed citations
10.
Ryan, Jessica, John Kanellis, Kate Blease, Y. Frank, & David J. Nikolic‐Paterson. (2016). Spleen Tyrosine Kinase Signaling Promotes Myeloid Cell Recruitment and Kidney Damage after Renal Ischemia/Reperfusion Injury. American Journal Of Pathology. 186(8). 2032–2042. 21 indexed citations
11.
Wang, Shuang, Xiao‐Ming Meng, Yee-Yung Ng, et al.. (2015). TGF-β/Smad3 signalling regulates the transition of bone marrow-derived macrophages into myofibroblasts during tissue fibrosis. Oncotarget. 7(8). 8809–8822. 196 indexed citations
12.
Frank, Y., et al.. (2013). Macrophages Contribute to Cellular But Not Humoral Mechanisms of Acute Rejection in Rat Renal Allografts. Transplantation. 96(11). 949–957. 22 indexed citations
13.
Frank, Y., et al.. (2012). Macrophage infiltration and renal damage are independent of matrix metalloproteinase 12 in the obstructed kidney. Nephrology. 17(4). 322–329. 26 indexed citations
14.
Frank, Y., Yohei Ikezumi, & David J. Nikolic‐Paterson. (2010). Macrophage Signaling Pathways: A Novel Target in Renal Disease. Seminars in Nephrology. 30(3). 334–344. 18 indexed citations
15.
Jones, Lynelle K., Kim M. O’Sullivan, Timothy Semple, et al.. (2009). IL-1RI deficiency ameliorates early experimental renal interstitial fibrosis. Nephrology Dialysis Transplantation. 24(10). 3024–3032. 69 indexed citations
16.
Frank, Y., Jian Liu, A. Richard Kitching, Carl L. Manthey, & David J. Nikolic‐Paterson. (2008). Targeting renal macrophage accumulation via c-fmskinase reduces tubular apoptosis but fails to modify progressive fibrosis in the obstructed rat kidney. American Journal of Physiology-Renal Physiology. 296(1). F177–F185. 43 indexed citations
17.
Frank, Y., Greg H. Tesch, Richard A. Flavell, Roger J. Davis, & David J. Nikolic‐Paterson. (2007). MKK3-p38 signaling promotes apoptosis and the early inflammatory response in the obstructed mouse kidney. American Journal of Physiology-Renal Physiology. 293(5). F1556–F1563. 39 indexed citations
18.
Frank, Y., et al.. (2005). Prolactin Specifically Activates Signal Transducer and Activator of Transcription 5b in Neuroendocrine Dopaminergic Neurons. Endocrinology. 146(12). 5112–5119. 67 indexed citations
19.
Frank, Y., David R. Grattan, Vincent Goffin, & Stephen J. Bunn. (2004). Prolactin-Regulated Tyrosine Hydroxylase Activity and Messenger Ribonucleic Acid Expression in Mediobasal Hypothalamic Cultures: The Differential Role of Specific Protein Kinases. Endocrinology. 146(1). 93–102. 42 indexed citations
20.
Alter, Milton, et al.. (1975). Creutzfeldt-Jakob Disease after Eating Ovine Brains?. New England Journal of Medicine. 292(17). 927–927. 16 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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