Jana Patton‐Vogt

1.9k total citations
40 papers, 1.5k citations indexed

About

Jana Patton‐Vogt is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Jana Patton‐Vogt has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Cell Biology and 9 papers in Biochemistry. Recurrent topics in Jana Patton‐Vogt's work include Fungal and yeast genetics research (23 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Jana Patton‐Vogt is often cited by papers focused on Fungal and yeast genetics research (23 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Jana Patton‐Vogt collaborates with scholars based in United States, Slovakia and Sweden. Jana Patton‐Vogt's co-authors include Susan A. Henry, Susan A. Henry, Peter Griač, Susan R. Dowd, Vincent M. Bruno, Avula Sreenivas, Mark E. Bier, Anton I.P.M. de Kroon, Edward A. Fisher and Roman Holič and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and PLANT PHYSIOLOGY.

In The Last Decade

Jana Patton‐Vogt

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Patton‐Vogt United States 23 1.1k 525 392 268 146 40 1.5k
María L. Gaspar United States 18 940 0.8× 575 1.1× 414 1.1× 330 1.2× 97 0.7× 30 1.4k
Virginia McDonough United States 13 1.0k 0.9× 254 0.5× 475 1.2× 105 0.4× 76 0.5× 23 1.2k
Joseph Stukey United States 13 1.1k 1.0× 250 0.5× 519 1.3× 103 0.4× 86 0.6× 15 1.4k
John M. Lopes United States 21 1.4k 1.2× 531 1.0× 344 0.9× 192 0.7× 178 1.2× 46 1.7k
Aner Gurvitz Austria 18 967 0.9× 111 0.2× 188 0.5× 68 0.3× 77 0.5× 40 1.1k
Akira Nishimura Japan 22 1.3k 1.2× 74 0.1× 398 1.0× 234 0.9× 116 0.8× 83 1.7k
Jürgen Stolz Germany 23 1.0k 0.9× 207 0.4× 111 0.3× 718 2.7× 71 0.5× 36 1.7k
Markus Proft Spain 28 2.4k 2.1× 318 0.6× 74 0.2× 854 3.2× 290 2.0× 48 2.9k
Mark T. McCammon United States 20 1.1k 1.0× 80 0.2× 95 0.2× 221 0.8× 81 0.6× 29 1.4k
Yukio Mukai Japan 21 1.2k 1.1× 112 0.2× 69 0.2× 270 1.0× 163 1.1× 58 1.4k

Countries citing papers authored by Jana Patton‐Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Jana Patton‐Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jana Patton‐Vogt. 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 Jana Patton‐Vogt. The network helps show where Jana Patton‐Vogt may publish in the future.

Co-authorship network of co-authors of Jana Patton‐Vogt

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Patton‐Vogt. A scholar is included among the top collaborators of Jana Patton‐Vogt 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 Jana Patton‐Vogt. Jana Patton‐Vogt 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.
Acosta‐Zaldívar, Maikel, Wanjun Qi, Ping Li, et al.. (2024). Candida albicans’ inorganic phosphate transport and evolutionary adaptation to phosphate scarcity. PLoS Genetics. 20(8). e1011156–e1011156. 6 indexed citations
2.
Acosta‐Zaldívar, Maikel, et al.. (2023). Glycerophosphocholine provision rescues Candida albicans growth and signaling phenotypes associated with phosphate limitation. mSphere. 8(6). e0023123–e0023123. 5 indexed citations
3.
Wilson, Duncan, et al.. (2023). The glycerophosphocholine acyltransferase Gpc1 contributes to phosphatidylcholine biosynthesis, long-term viability, and embedded hyphal growth in Candida albicans. Journal of Biological Chemistry. 300(1). 105543–105543. 4 indexed citations
4.
Nelson, Laura D., et al.. (2023). The acyltransferase Gpc1 is both a target and an effector of the unfolded protein response in Saccharomyces cerevisiae. Journal of Biological Chemistry. 299(7). 104884–104884. 1 indexed citations
5.
6.
Wang, Jingxin, Wenbo Pan, Weiwei Li, et al.. (2020). Identification of two glycerophosphodiester phosphodiesterase genes in maize leaf phosphorus remobilization. The Crop Journal. 9(1). 95–108. 25 indexed citations
7.
Cassilly, Chelsi D., et al.. (2019). Overproduction of Phospholipids by the Kennedy Pathway Leads to Hypervirulence in Candida albicans. Frontiers in Microbiology. 10. 86–86. 25 indexed citations
8.
Patton‐Vogt, Jana & Anton I.P.M. de Kroon. (2019). Phospholipid turnover and acyl chain remodeling in the yeast ER. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(1). 158462–158462. 33 indexed citations
9.
Rasmusson, Allan G., et al.. (2016). Cloning of Glycerophosphocholine Acyltransferase (GPCAT) from Fungi and Plants. Journal of Biological Chemistry. 291(48). 25066–25076. 24 indexed citations
10.
Ding, Jun, C. Samuel Bradford, Jana Patton‐Vogt, et al.. (2015). PEP3 overexpression shortens lag phase but does not alter growth rate in Saccharomyces cerevisiae exposed to acetic acid stress. Applied Microbiology and Biotechnology. 99(20). 8667–8680. 16 indexed citations
11.
Bishop, Andrew C., Shantanu Ganguly, Norma V. Solis, et al.. (2013). Glycerophosphocholine Utilization by Candida albicans. Journal of Biological Chemistry. 288(47). 33939–33952. 25 indexed citations
12.
Ganguly, Shantanu, Andrew C. Bishop, Wenjie Xu, et al.. (2011). Zap1 Control of Cell-Cell Signaling in Candida albicans Biofilms. Eukaryotic Cell. 10(11). 1448–1454. 56 indexed citations
13.
14.
Fisher, Edward A., et al.. (2006). Posttranscriptional regulation of Git1p, the glycerophosphoinositol/glycerophosphocholine transporter of Saccharomyces cerevisiae. Current Genetics. 50(6). 367–375. 8 indexed citations
15.
Patton‐Vogt, Jana. (2006). Transport and metabolism of glycerophosphodiesters produced through phospholipid deacylation. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1771(3). 337–342. 44 indexed citations
16.
Fisher, Edward A., et al.. (2005). Glycerophosphocholine-dependent Growth Requires Gde1p (YPL110c) and Git1p in Saccharomyces cerevisiae. Journal of Biological Chemistry. 280(43). 36110–36117. 63 indexed citations
17.
Cheng, Wei, et al.. (2004). Glycerophosphoinositol, a Novel Phosphate Source Whose Transport Is Regulated by Multiple Factors in Saccharomyces cerevisiae. Journal of Biological Chemistry. 279(30). 31937–31942. 33 indexed citations
18.
Dowd, Susan R., Mark E. Bier, & Jana Patton‐Vogt. (2001). Turnover of Phosphatidylcholine in Saccharomyces cerevisiae. Journal of Biological Chemistry. 276(6). 3756–3763. 102 indexed citations
19.
Henry, Susan A. & Jana Patton‐Vogt. (1998). Genetic Regulation of Phospholipid Metabolism: Yeast as a Model Eukaryote. Progress in nucleic acid research and molecular biology. 61. 133–179. 143 indexed citations
20.
Patton‐Vogt, Jana, Peter Griač, Avula Sreenivas, et al.. (1997). Role of the Yeast Phosphatidylinositol/Phosphatidylcholine Transfer Protein (Sec14p) in Phosphatidylcholine Turnover andINO1 Regulation. Journal of Biological Chemistry. 272(33). 20873–20883. 115 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by María L. Gaspar Breakdown of academic impact, for papers by Virginia McDonough Breakdown of academic impact, for papers by Joseph Stukey Breakdown of academic impact, for papers by John M. Lopes Breakdown of academic impact, for papers by Aner Gurvitz Breakdown of academic impact, for papers by Akira Nishimura Breakdown of academic impact, for papers by Jürgen Stolz Breakdown of academic impact, for papers by Markus Proft Breakdown of academic impact, for papers by Mark T. McCammon Breakdown of academic impact, for papers by Yukio Mukai
Rankless by CCL
2026