Di Fei Sun

427 total citations
17 papers, 342 citations indexed

About

Di Fei Sun is a scholar working on Nephrology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Di Fei Sun has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 6 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Di Fei Sun's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Acute Kidney Injury Research (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Di Fei Sun is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Acute Kidney Injury Research (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Di Fei Sun collaborates with scholars based in Japan, United States and China. Di Fei Sun's co-authors include Akira Hishida, Yoshihide Fujigaki, Ralph Rabkin, Katsuhiko Yonemura, T. Fujimoto, Franz Schaefer, Yu Chen, Jane C. Tan, Padmaja Tummala and Zhilan Zheng and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and American Journal Of Pathology.

In The Last Decade

Di Fei Sun

17 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Fei Sun Japan 11 106 91 78 47 46 17 342
Warangkana Pichaiwong Thailand 8 209 2.0× 120 1.3× 57 0.7× 82 1.7× 43 0.9× 11 416
Anna Rita Plati United States 10 164 1.5× 141 1.5× 43 0.6× 84 1.8× 28 0.6× 11 450
Annelies De Maré Belgium 8 193 1.8× 162 1.8× 51 0.7× 45 1.0× 60 1.3× 9 407
Patrick Wilkinson United States 7 111 1.0× 190 2.1× 30 0.4× 43 0.9× 31 0.7× 10 521
Gengru Jiang China 10 182 1.7× 119 1.3× 35 0.4× 64 1.4× 18 0.4× 24 414
Takeshi Sugishita Japan 8 78 0.7× 122 1.3× 97 1.2× 36 0.8× 33 0.7× 10 443
V. LoCascio Italy 9 58 0.5× 175 1.9× 101 1.3× 49 1.0× 51 1.1× 11 546
Sigrid Jehle Switzerland 6 242 2.3× 65 0.7× 86 1.1× 64 1.4× 51 1.1× 7 419
Takaichi Suehiro Japan 9 157 1.5× 45 0.5× 34 0.4× 30 0.6× 33 0.7× 18 325
Akira Iguchi Japan 11 148 1.4× 103 1.1× 37 0.5× 75 1.6× 44 1.0× 23 329

Countries citing papers authored by Di Fei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Di Fei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di Fei Sun. 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 Di Fei Sun. The network helps show where Di Fei Sun may publish in the future.

Co-authorship network of co-authors of Di Fei Sun

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

All Works

17 of 17 papers shown
1.
2.
Yang, Yu, et al.. (2020). Nasal delivery of a CRMP2-derived CBD3 adenovirus improves cognitive function and pathology in APP/PS1 transgenic mice. Molecular Brain. 13(1). 58–58. 12 indexed citations
3.
Sun, Di Fei, Shiyan Guo, Li Yang, et al.. (2019). Silicone elastomer gel impregnated with 20(S)-protopanaxadiol-loaded nanostructured lipid carriers for ordered diabetic ulcer recovery. Acta Pharmacologica Sinica. 41(1). 119–128. 25 indexed citations
4.
Zhao, Fan, et al.. (2018). Effects of Qianlie Tongqiao Capsule on Bladder Weight and Growth Factors in Bladder Tissue of Rats with Testosterone‐Induced Benign Prostatic Hyperplasia. Evidence-based Complementary and Alternative Medicine. 2018(1). 5059267–5059267. 2 indexed citations
5.
Berger, Itai, Grzegorz Piecha, Ralph Rabkin, et al.. (2007). Growth hormone treatment prevents osteoporosis in uremic rats.. PubMed. 22(11). 1231–9. 7 indexed citations
6.
Rabkin, Ralph, Di Fei Sun, Yu Chen, Jane C. Tan, & Franz Schaefer. (2005). Growth hormone resistance in uremia, a role for impaired JAK/STAT signaling. Pediatric Nephrology. 20(3). 313–318. 64 indexed citations
7.
Zheng, Zhilan, Di Fei Sun, Padmaja Tummala, & Ralph Rabkin. (2005). Cardiac resistance to growth hormone in uremia. Kidney International. 67(3). 858–866. 10 indexed citations
8.
Sun, Di Fei, Zhilan Zheng, Padmaja Tummala, et al.. (2004). Chronic Uremia Attenuates Growth Hormone–Induced Signal Transduction in Skeletal Muscle. Journal of the American Society of Nephrology. 15(10). 2630–2636. 53 indexed citations
9.
Fujigaki, Yoshihide, et al.. (2004). Plasma protein extravasation and vascular endothelial growth factor expression with endothelial nitric oxide synthase induction in gentamicin-induced acute renal failure in rats. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 444(4). 362–374. 13 indexed citations
10.
Sun, Di Fei, Akashi Togawa, Katsuhiko Yonemura, et al.. (2003). Important role for fibronectin-EIIIA during renal tubular repair and cellular recovery in uranyl acetate-induced acute renal failure of rats. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 443(2). 194–205. 5 indexed citations
11.
Fujigaki, Yoshihide, et al.. (2003). Temporary changes in macrophages and MHC class-II molecule-expressing cells in the tubulointerstitium in response to uranyl acetate-induced acute renal failure in rats. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 443(2). 206–216. 5 indexed citations
12.
Fujigaki, Yoshihide, Di Fei Sun, T. Fujimoto, et al.. (2002). Mechanisms and Kinetics of Bowman’s Epithelial-Myofibroblast Transdifferentiation in the Formation of Glomerular Crescents. ˜The œNephron journals/Nephron journals. 92(1). 203–212. 33 indexed citations
13.
Sun, Di Fei, et al.. (2002). Relation of Distal Nephron Changes to Proximal Tubular Damage in Uranyl Acetate-Induced Acute Renal Failure in Rats. American Journal of Nephrology. 22(5-6). 405–416. 17 indexed citations
14.
Sun, Di Fei, et al.. (2002). Mycophenolate Mofetil Inhibits Regenerative Repair in Uranyl Acetate-Induced Acute Renal Failure by Reduced Interstitial Cellular Response. American Journal Of Pathology. 161(1). 217–227. 25 indexed citations
15.
Sun, Di Fei, T. Fujimoto, Katsuhiko Yonemura, et al.. (2001). Cytokines and cell cycle regulation in the fibrous progression of crescent formation in antiglomerular basement membrane nephritis of WKY rats. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 439(1). 35–45. 14 indexed citations
16.
Sun, Di Fei, Yoshihide Fujigaki, T. Fujimoto, Katsuhiko Yonemura, & Akira Hishida. (2000). Possible Involvement of Myofibroblasts in Cellular Recovery of Uranyl Acetate-Induced Acute Renal Failure in Rats. American Journal Of Pathology. 157(4). 1321–1335. 48 indexed citations
17.
Fujigaki, Yoshihide, Takuya Watanabe, Naoki Ikegaya, et al.. (2000). Immunoelectron microscopic study on type I, II and III TGF-β receptors on visceral glomerular epithelial cells in relation to glomerular basement membrane alterations in proteinuric rats. Nephrology Dialysis Transplantation. 15(2). 191–199. 6 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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