Natalie Kaempf

618 total citations
9 papers, 401 citations indexed

About

Natalie Kaempf is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Natalie Kaempf has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Natalie Kaempf's work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Natalie Kaempf is often cited by papers focused on Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Natalie Kaempf collaborates with scholars based in Germany, United States and Belgium. Natalie Kaempf's co-authors include Dmytro Puchkov, Volker Haucke, Natalia L. Kononenko, Tanja Maritzen, Tolga Soykan, Takeshi Sakaba, Felix Goerdeler, Alexander M. Walter, Dorothea Lorenz and Thorsten Trimbuch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Frontiers in Cellular Neuroscience.

In The Last Decade

Natalie Kaempf

8 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Kaempf Germany 6 313 295 176 54 37 9 401
Sean E. Low United States 12 255 0.8× 350 1.2× 158 0.9× 38 0.7× 33 0.9× 14 531
Hiroshi Tokumaru Japan 9 249 0.8× 309 1.0× 169 1.0× 52 1.0× 39 1.1× 17 423
Frauke Ackermann Germany 12 203 0.6× 267 0.9× 205 1.2× 60 1.1× 38 1.0× 17 532
Attila Gulyás-Kovács Netherlands 8 437 1.4× 448 1.5× 188 1.1× 91 1.7× 69 1.9× 9 593
M. Katharina Grauel Germany 8 125 0.4× 222 0.8× 187 1.1× 28 0.5× 17 0.5× 9 391
Lihao Ge China 10 166 0.5× 272 0.9× 103 0.6× 45 0.8× 18 0.5× 20 377
Jihong Gong China 9 243 0.8× 278 0.9× 113 0.6× 52 1.0× 30 0.8× 17 373
Mazdak M. Bradberry United States 12 170 0.5× 274 0.9× 140 0.8× 50 0.9× 16 0.4× 15 382
Jurjen H. Broeke Netherlands 9 199 0.6× 228 0.8× 151 0.9× 25 0.5× 29 0.8× 10 318
Agathe Verraes France 7 177 0.6× 183 0.6× 75 0.4× 42 0.8× 22 0.6× 8 309

Countries citing papers authored by Natalie Kaempf

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Kaempf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Kaempf

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Kaempf. A scholar is included among the top collaborators of Natalie Kaempf 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 Natalie Kaempf. Natalie Kaempf 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.
Kaempf, Natalie, et al.. (2024). Phosphoinositide detection at synapses of fixed murine hippocampal neurons. STAR Protocols. 5(2). 102945–102945.
2.
Scott, Patrick, Sabine Kuenen, Jef Swerts, et al.. (2024). A candidate loss-of-function variant in SGIP1 causes synaptic dysfunction and recessive parkinsonism. Cell Reports Medicine. 5(10). 101749–101749. 2 indexed citations
3.
Kaempf, Natalie, Dmytro Puchkov, M. Krauß, et al.. (2023). Synaptotagmin 1-triggered lipid signaling facilitates coupling of exo- and endocytosis. Neuron. 111(23). 3900–3900. 2 indexed citations
4.
Kaempf, Natalie, Dmytro Puchkov, M. Krauß, et al.. (2023). Synaptotagmin 1-triggered lipid signaling facilitates coupling of exo- and endocytosis. Neuron. 111(23). 3765–3774.e7. 19 indexed citations
5.
Kuenen, Sabine, Nils Schoovaerts, Natalie Kaempf, et al.. (2023). Neuronal identity defines α-synuclein and tau toxicity. Neuron. 111(10). 1577–1590.e11. 29 indexed citations
6.
Kaempf, Natalie & Tanja Maritzen. (2017). Safeguards of Neurotransmission: Endocytic Adaptors as Regulators of Synaptic Vesicle Composition and Function. Frontiers in Cellular Neuroscience. 11. 320–320. 13 indexed citations
7.
Soykan, Tolga, Natalie Kaempf, Takeshi Sakaba, et al.. (2017). Synaptic Vesicle Endocytosis Occurs on Multiple Timescales and Is Mediated by Formin-Dependent Actin Assembly. Neuron. 93(4). 854–866.e4. 122 indexed citations
8.
Kaempf, Natalie, Gaga Kochlamazashvili, Dmytro Puchkov, et al.. (2015). Overlapping functions of stonin 2 and SV2 in sorting of the calcium sensor synaptotagmin 1 to synaptic vesicles. Proceedings of the National Academy of Sciences. 112(23). 7297–7302. 56 indexed citations
9.
Kononenko, Natalia L., Dmytro Puchkov, Alexander M. Walter, et al.. (2014). Clathrin/AP-2 Mediate Synaptic Vesicle Reformation from Endosome-like Vacuoles but Are Not Essential for Membrane Retrieval at Central Synapses. Neuron. 82(5). 981–988. 158 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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