Ping-Ke Fang

461 total citations
9 papers, 380 citations indexed

About

Ping-Ke Fang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Ping-Ke Fang has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cell Biology. Recurrent topics in Ping-Ke Fang's work include Ion Transport and Channel Regulation (3 papers), Congenital heart defects research (3 papers) and Renal and related cancers (2 papers). Ping-Ke Fang is often cited by papers focused on Ion Transport and Channel Regulation (3 papers), Congenital heart defects research (3 papers) and Renal and related cancers (2 papers). Ping-Ke Fang collaborates with scholars based in United States. Ping-Ke Fang's co-authors include Alfred N. Van Hoek, Pamela C. Yelick, Dennis Brown, Yan Huang, Michael R. Freeman, Núria M. Pastor‐Soler, Richard Bouley, Claudia Silberstein, Bekir Cinar and Mohini Lutchman and has published in prestigious journals such as The EMBO Journal, American Journal Of Pathology and American Journal of Physiology-Renal Physiology.

In The Last Decade

Ping-Ke Fang

9 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping-Ke Fang United States 9 288 149 65 30 30 9 380
Nellie Kalcheva United States 11 256 0.9× 113 0.8× 48 0.7× 31 1.0× 43 1.4× 14 506
Eleonora Di Zanni Italy 14 312 1.1× 44 0.3× 76 1.2× 30 1.0× 45 1.5× 23 471
Stuart Townsend United Kingdom 7 287 1.0× 79 0.5× 63 1.0× 31 1.0× 14 0.5× 8 411
Karin Bundschu Germany 11 445 1.5× 75 0.5× 17 0.3× 42 1.4× 21 0.7× 19 613
Britta Bartelt‐Kirbach Germany 13 270 0.9× 100 0.7× 27 0.4× 8 0.3× 57 1.9× 22 391
Dashou Wang United States 7 237 0.8× 96 0.6× 83 1.3× 33 1.1× 96 3.2× 9 433
Maysoon Salih Canada 16 402 1.4× 132 0.9× 11 0.2× 38 1.3× 38 1.3× 28 526
Alison M. Maggs United Kingdom 9 334 1.2× 132 0.9× 41 0.6× 35 1.2× 122 4.1× 11 459
Mourad Métioui Belgium 8 238 0.8× 57 0.4× 19 0.3× 43 1.4× 37 1.2× 9 377
Guillermo A. Vega‐López Argentina 9 230 0.8× 74 0.5× 17 0.3× 40 1.3× 9 0.3× 13 357

Countries citing papers authored by Ping-Ke Fang

Since Specialization
Citations

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

Fields of papers citing papers by Ping-Ke Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping-Ke Fang. 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 Ping-Ke Fang. The network helps show where Ping-Ke Fang may publish in the future.

Co-authorship network of co-authors of Ping-Ke Fang

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

All Works

9 of 9 papers shown
1.
Jezewski, Peter A., et al.. (2010). Zebrafish Wnt9a,9b paralog comparisons suggest ancestral roles for Wnt9 in neural, oral–pharyngeal ectoderm and mesendoderm. Gene Expression Patterns. 10(6). 251–258. 13 indexed citations
2.
Fang, Ping-Ke, Brian H. Raphael, Susan E. Maslanka, Shuowei Cai, & Bal Ram Singh. (2010). Analysis of genomic differences among Clostridium botulinum type A1 strains. BMC Genomics. 11(1). 19 indexed citations
3.
Jezewski, Peter A., et al.. (2009). Alternative splicing, phylogenetic analysis, and craniofacial expression of zebrafish tbx22. Developmental Dynamics. 238(6). 1605–1612. 10 indexed citations
4.
Jezewski, Peter A., et al.. (2008). Zebrafish wnt9b Synteny and Expression During First and Second Arch, Heart, and Pectoral Fin Bud Morphogenesis. Zebrafish. 5(3). 169–177. 13 indexed citations
5.
Cinar, Bekir, Ping-Ke Fang, Mohini Lutchman, et al.. (2007). The pro‐apoptotic kinase Mst1 and its caspase cleavage products are direct inhibitors of Akt1. The EMBO Journal. 26(21). 4523–4534. 112 indexed citations
6.
Fang, Ping-Ke, Keith R. Solomon, Liyan Zhuang, et al.. (2006). Caveolin-1α and −1β Perform Nonredundant Roles in Early Vertebrate Development. American Journal Of Pathology. 169(6). 2209–2222. 43 indexed citations
7.
Silberstein, Claudia, Richard Bouley, Yan Huang, et al.. (2004). Membrane organization and function of M1 and M23 isoforms of aquaporin-4 in epithelial cells. American Journal of Physiology-Renal Physiology. 287(3). F501–F511. 128 indexed citations
8.
Huang, Yan, et al.. (2003). Partitioning of Aquaporin-4 Water Channel mRNA and Protein in Gastric Glands. Digestive Diseases and Sciences. 48(10). 2027–2036. 11 indexed citations
9.
Huang, Yan, Glenn E. Walsberg, Anthony Makkinje, et al.. (2001). Absence of aquaporin-4 water channels from kidneys of the desert rodentDipodomys merriami merriami. American Journal of Physiology-Renal Physiology. 280(5). F794–F802. 31 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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