Ute Kistner

1.7k total citations
9 papers, 1.5k citations indexed

About

Ute Kistner is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ute Kistner has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ute Kistner's work include Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Ute Kistner is often cited by papers focused on Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Ute Kistner collaborates with scholars based in Germany, United States and Israel. Ute Kistner's co-authors include Craig C. Garner, Rüdiger W. Veh, Burkhard Becker, Reinhard Jahn, Wim Annaert, Abigail M. Garner, Eckart D. Gundelfinger, Richard L. Huganir, Bettina Müller and Eckart D. Gundelfinger and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Ute Kistner

9 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Kistner Germany	9	1.1k	889	564	106	94	9	1.5k
K. Mikoshiba Japan	21	1.2k 1.2×	754 0.8×	359 0.6×	109 1.0×	116 1.2×	31	1.8k
Béatrice Marquèze‐Pouey France	18	1.1k 1.0×	887 1.0×	524 0.9×	134 1.3×	54 0.6×	32	1.5k
Oussama El Far France	23	1.4k 1.3×	1.1k 1.2×	622 1.1×	116 1.1×	32 0.3×	47	1.9k
Eunjoon Kim United States	6	717 0.7×	616 0.7×	295 0.5×	62 0.6×	56 0.6×	7	983
Peter J. Meberg United States	13	656 0.6×	688 0.8×	558 1.0×	197 1.9×	160 1.7×	16	1.5k
Marcie Colledge United States	12	1.5k 1.5×	985 1.1×	376 0.7×	176 1.7×	114 1.2×	15	2.0k
Lotfi Ferhat France	23	750 0.7×	684 0.8×	514 0.9×	157 1.5×	120 1.3×	42	1.5k
Jamie L. Weiss United Kingdom	14	997 0.9×	798 0.9×	349 0.6×	97 0.9×	39 0.4×	26	1.3k
Ching-Kang Chen United States	21	2.2k 2.1×	1.4k 1.6×	359 0.6×	71 0.7×	39 0.4×	29	2.5k
Atsuko Horiuchi United States	18	1.1k 1.1×	750 0.8×	449 0.8×	115 1.1×	18 0.2×	22	1.5k

Countries citing papers authored by Ute Kistner

Since Specialization

Citations

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

Fields of papers citing papers by Ute Kistner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Kistner

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

All Works

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9 of 9 papers shown

Jöns, Thomas, Hans‐Karl Heim, Ute Kistner, & Gudrun Ahnert‐Hilger. (1999). SAP 97 is a potential candidate for basolateral fixation of ezrin in parietal cells. Histochemistry and Cell Biology. 111(4). 313–318. 11 indexed citations

Kistner, Ute, et al.. (1999). Fusion of Endosomes Involved in Synaptic Vesicle Recycling. Molecular Biology of the Cell. 10(9). 3035–3044. 73 indexed citations

Ahnert‐Hilger, Gudrun, Michael John, Ute Kistner, Bertram Wiedenmann, & Hubertus Jarry. (1998). Immortalized gonadotropin‐releasing hormone neurons secrete γ‐aminobutyric acid – evidence for an autocrine regulation. European Journal of Neuroscience. 10(3). 1145–1152. 20 indexed citations

Annaert, Wim, Bernd Becker, Ute Kistner, Michael Reth, & Reinhard Jahn. (1997). Export of Cellubrevin from the Endoplasmic Reticulum Is Controlled by BAP31. The Journal of Cell Biology. 139(6). 1397–1410. 137 indexed citations

Laube, Gregor, Jochen Röper, Sabine Sewing, et al.. (1996). Ultrastructural localization of Shaker-related potassium channel subunits and synapse-associated protein 90 to septate-like junctions in rat cerebellar Pinceaux. Molecular Brain Research. 42(1). 51–61. 116 indexed citations

Müller, Bettina, Ute Kistner, Stefan Kindler, et al.. (1996). SAP102, a Novel Postsynaptic Protein That Interacts with NMDA Receptor Complexes In Vivo. Neuron. 17(2). 255–265. 373 indexed citations

Kistner, Ute, Craig C. Garner, & Michal Linial. (1995). Nucleotide bindind by the synapse associated protein SAP90. FEBS Letters. 359(2-3). 159–163. 62 indexed citations

Kistner, Ute, et al.. (1995). Molecular characterization and spatial distribution of SAP97, a novel presynaptic protein homologous to SAP90 and the Drosophila discs-large tumor suppressor protein. Journal of Neuroscience. 15(3). 2354–2366. 340 indexed citations

Kistner, Ute, et al.. (1993). SAP90, a rat presynaptic protein related to the product of the Drosophila tumor suppressor gene dlg-A.. Journal of Biological Chemistry. 268(7). 4580–4583. 357 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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