ZhaoLan Tang

3.1k total citations · 3 hit papers
11 papers, 2.7k citations indexed

About

ZhaoLan Tang is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, ZhaoLan Tang has authored 11 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 9 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in ZhaoLan Tang's work include Caveolin-1 and cellular processes (10 papers), Ion Transport and Channel Regulation (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). ZhaoLan Tang is often cited by papers focused on Caveolin-1 and cellular processes (10 papers), Ion Transport and Channel Regulation (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). ZhaoLan Tang collaborates with scholars based in United States, Italy and Japan. ZhaoLan Tang's co-authors include Michael P. Lisanti, Philipp E. Scherer, Massimo Sargiacomo, Kenneth Song, Takashi Okamoto, Caryn Chu, D. Stave Kohtz, Shengwen Calvin Li, Ikuo Nishimoto and Harvey F. Lodish and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

ZhaoLan Tang

11 papers receiving 2.6k citations

Hit Papers

Molecular Cloning of Caveolin-3, a Novel Member of the Ca... 1994 2026 2004 2015 1996 1996 1994 200 400 600

Peers

ZhaoLan Tang
Holly McDonough United States
Thomas Weide Germany
Kathleen H. Holt United States
Regina Kuliawat United States
Rui Lin United States
Sharon F. Suchy United States
Holly McDonough United States
ZhaoLan Tang
Citations per year, relative to ZhaoLan Tang ZhaoLan Tang (= 1×) peers Holly McDonough

Countries citing papers authored by ZhaoLan Tang

Since Specialization
Citations

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

Fields of papers citing papers by ZhaoLan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ZhaoLan Tang

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

All Works

11 of 11 papers shown
1.
Sun, Chao, Helen Skaletsky, Bruce W. Birren, et al.. (1999). An azoospermic man with a de novo point mutation in the Y-chromosomal gene USP9Y. Nature Genetics. 23(4). 429–432. 301 indexed citations
2.
Tang, ZhaoLan, et al.. (1997). Identification, Sequence, and Expression of an Invertebrate Caveolin Gene Family from the Nematode Caenorhabditis elegans. Journal of Biological Chemistry. 272(4). 2437–2445. 79 indexed citations
3.
Song, Kenneth, ZhaoLan Tang, Shengwen Calvin Li, & Michael P. Lisanti. (1997). Mutational Analysis of the Properties of Caveolin-1. Journal of Biological Chemistry. 272(7). 4398–4403. 151 indexed citations
4.
Tang, ZhaoLan, Philipp E. Scherer, Takashi Okamoto, et al.. (1996). Molecular Cloning of Caveolin-3, a Novel Member of the Caveolin Gene Family Expressed Predominantly in Muscle. Journal of Biological Chemistry. 271(4). 2255–2261. 603 indexed citations breakdown →
5.
Song, Kenneth, Philipp E. Scherer, ZhaoLan Tang, et al.. (1996). Expression of Caveolin-3 in Skeletal, Cardiac, and Smooth Muscle Cells. Journal of Biological Chemistry. 271(25). 15160–15165. 598 indexed citations breakdown →
6.
Lisanti, Michael P., ZhaoLan Tang, Philipp E. Scherer, et al.. (1995). Caveolae, transmembrane signalling and cellular transformation. Molecular Membrane Biology. 12(1). 121–124. 121 indexed citations
7.
Lisanti, Michael P., ZhaoLan Tang, Philipp E. Scherer, & Massimo Sargiacomo. (1995). [47] Caveolae purification and glycosylphosphatidylinositol-linked protein sorting in polarized epithelia. Methods in enzymology on CD-ROM/Methods in enzymology. 250. 655–668. 117 indexed citations
8.
Lisanti, Michael P., Philipp E. Scherer, ZhaoLan Tang, et al.. (1995). Caveolae and human disease: functional roles in transcytosis, potocytosis, signalling and cell polarity. 6(1). 47–58. 33 indexed citations
9.
Lisanti, Michael P., Philipp E. Scherer, ZhaoLan Tang, & Massimo Sargiacomo. (1994). Caveolae, caveolin and caveolin-rich membrane domains: a signalling hypothesis. Trends in Cell Biology. 4(7). 231–235. 557 indexed citations breakdown →
10.
Tang, ZhaoLan, Philipp E. Scherer, & Michael P. Lisanti. (1994). The primary sequence of murine caveolin reveals a conserved consensus site for phosphorylation by protein kinase C. Gene. 147(2). 299–300. 47 indexed citations
11.
Sargiacomo, Massimo, Philipp E. Scherer, ZhaoLan Tang, James E. Casanova, & Michael P. Lisanti. (1994). In vitro phosphorylation of caveolin-rich membrane domains: identification of an associated serine kinase activity as a casein kinase II-like enzyme.. PubMed. 9(9). 2589–95. 55 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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