J. Kistler

4.1k total citations
44 papers, 2.7k citations indexed

About

J. Kistler is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, J. Kistler has authored 44 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 6 papers in Ecology and 6 papers in Physiology. Recurrent topics in J. Kistler's work include Connexins and lens biology (23 papers), Bacteriophages and microbial interactions (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). J. Kistler is often cited by papers focused on Connexins and lens biology (23 papers), Bacteriophages and microbial interactions (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). J. Kistler collaborates with scholars based in New Zealand, Switzerland and United States. J. Kistler's co-authors include Daniel A. Goodenough, S. Bullivant, Eric C. Beyer, Paul J. Donaldson, David L. Paul, Ueli Aebi, B. ten Heggeler, Brett H. Kirkland, Claire Goldsbury and Garth J. S. Cooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

J. Kistler

44 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Kistler New Zealand 28 2.2k 490 283 204 202 44 2.7k
Philippe Ringler Switzerland 27 1.5k 0.7× 491 1.0× 478 1.7× 203 1.0× 203 1.0× 57 2.8k
M. Joseph Costello United States 29 1.8k 0.8× 237 0.5× 219 0.8× 252 1.2× 167 0.8× 80 2.5k
Joerg Kistler New Zealand 28 2.4k 1.1× 949 1.9× 209 0.7× 334 1.6× 148 0.7× 47 3.0k
David J. Vaux United Kingdom 37 2.3k 1.0× 398 0.8× 486 1.7× 562 2.8× 110 0.5× 84 4.1k
Thomas W. Tillack United States 27 2.4k 1.1× 826 1.7× 135 0.5× 626 3.1× 159 0.8× 38 3.2k
Joseph A. Mindell United States 25 2.5k 1.1× 321 0.7× 358 1.3× 480 2.4× 531 2.6× 54 4.1k
Catherine Vénien‐Bryan France 29 1.8k 0.8× 125 0.3× 118 0.4× 201 1.0× 193 1.0× 79 2.5k
Yoshiko Ohno‐Iwashita Japan 40 2.5k 1.2× 630 1.3× 325 1.1× 846 4.1× 136 0.7× 73 3.6k
Prashant Rao United States 25 1.8k 0.8× 188 0.4× 166 0.6× 319 1.6× 283 1.4× 41 2.3k
John M. Kenney United States 22 1.0k 0.5× 257 0.5× 143 0.5× 158 0.8× 172 0.9× 49 1.9k

Countries citing papers authored by J. Kistler

Since Specialization
Citations

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

Fields of papers citing papers by J. Kistler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kistler

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kistler. A scholar is included among the top collaborators of J. Kistler 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 J. Kistler. J. Kistler 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.
Lim, Julie C., et al.. (2010). Expression of the sodium potassium chloride cotransporter (NKCC1) and sodium chloride cotransporter (NCC) and their effects on rat lens transparency.. PubMed. 16. 800–12. 13 indexed citations
2.
Woodford, Neil, Elizabeth J. Fagan, Robert L. Hill, et al.. (2006). Wide geographic spread of diverse acquired AmpC  -lactamases among Escherichia coli and Klebsiella spp. in the UK and Ireland. Journal of Antimicrobial Chemotherapy. 59(1). 102–105. 71 indexed citations
3.
Donaldson, Paul J., et al.. (2005). Spatially Distinct Cl– Influx and Efflux Pathways Interact to Maintain Lens Volume and Transparency. Investigative Ophthalmology & Visual Science. 46(13). 1129–1129. 2 indexed citations
4.
Kreplak, Laurent, Claire Goldsbury, Martin Stolz, et al.. (2004). Atomic Force Microscopy Reveals Defects Within Mica Supported Lipid Bilayers Induced by the Amyloidogenic Human Amylin Peptide. Journal of Molecular Biology. 342(3). 877–887. 132 indexed citations
5.
Donaldson, Paul J., et al.. (2002). Glucose Transport In the Lens. Investigative Ophthalmology & Visual Science. 43(13). 4646–4646. 3 indexed citations
6.
Fotiadis, Dimitrios, Lorenz Hasler, Daniel J. Müller, et al.. (2000). Surface Tongue-and-groove Contours on Lens MIP Facilitate Cell-to-cell Adherence. Journal of Molecular Biology. 300(4). 779–789. 119 indexed citations
7.
Tunstall, Mark J., et al.. (2000). Blocking chloride channels in the rat lens: localized changes in tissue hydration support the existence of a circulating chloride flux.. PubMed. 41(10). 3049–55. 35 indexed citations
8.
Eckert, Reiner, et al.. (1999). Quantitative Determination of Gap Junctional Permeability in the Lens Cortex. The Journal of Membrane Biology. 169(2). 91–102. 14 indexed citations
9.
Donaldson, Paul J., et al.. (1999). Differential expression of facilitative glucose transporters GLUT1 and GLUT3 in the lens.. PubMed. 40(13). 3224–30. 60 indexed citations
10.
Lin, Jun, Sandra Fitzgerald, Yunzhou Dong, et al.. (1997). Processing of the gap junction protein connexin50 in the ocular lens is accomplished by calpain.. PubMed. 73(2). 141–9. 81 indexed citations
11.
Donaldson, Paul J., Reiner Eckert, Colin Green, & J. Kistler. (1997). Gap junction channels: new roles in disease.. PubMed. 12(1). 219–31. 28 indexed citations
12.
Green, Colin, et al.. (1996). Liquefaction of cortical tissue in diabetic and galactosemic rat lenses defined by confocal laser scanning microscopy.. PubMed. 37(8). 1557–65. 43 indexed citations
13.
Donaldson, Paul J., et al.. (1995). Changes in lens connexin expression lead to increased gap junctional voltage dependence and conductance. American Journal of Physiology-Cell Physiology. 269(3). C590–C600. 40 indexed citations
14.
Dong, Ying, et al.. (1994). Differential expression of two gap junction proteins in corneal epithelium.. PubMed. 64(1). 95–100. 59 indexed citations
15.
Evans, Clive W., et al.. (1993). Gap junction formation during development of the mouse lens.. PubMed. 60(2). 243–9. 22 indexed citations
16.
Kistler, J. & S. Bullivant. (1987). Protein processing in lens intercellular junctions: cleavage of MP70 to MP38.. PubMed. 28(10). 1687–92. 63 indexed citations
17.
Gruijters, W. T. M., J. Kistler, S. Bullivant, & Daniel A. Goodenough. (1987). Immunolocalization of MP70 in lens fiber 16-17-nm intercellular junctions.. The Journal of Cell Biology. 104(3). 565–572. 91 indexed citations
18.
Kistler, J., Brett H. Kirkland, Katabarwa Murenzi Gilbert, & S. Bullivant. (1986). Aging of lens fibers. Mapping membrane proteins with monoclonal antibodies.. PubMed. 27(5). 772–80. 17 indexed citations
19.
Kistler, J., et al.. (1982). Structural changes during the transformation of bacteriophage T4 polyheads. Journal of Molecular Biology. 162(3). 607–622. 4 indexed citations
20.
Kistler, J., Robert M. Stroud, Michael W. Klymkowsky, Roger A. Lalancette, & Robert H. Fairclough. (1982). Structure and function of an acetylcholine receptor. Biophysical Journal. 37(1). 371–383. 206 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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