David Kapfhamer

1.4k total citations
23 papers, 1.1k citations indexed

About

David Kapfhamer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, David Kapfhamer has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in David Kapfhamer's work include Neurobiology and Insect Physiology Research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cellular transport and secretion (3 papers). David Kapfhamer is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cellular transport and secretion (3 papers). David Kapfhamer collaborates with scholars based in United States, Bulgaria and Germany. David Kapfhamer's co-authors include Maja Bućan, Margit Burmeister, Ulrike Heberlein, Gary Meyer, María E. Díaz, Xiaoxi Qiao, Jeffrey L. Noebels, Shannon L. Carskadon, Andrew A. Peden and Margaret S. Robinson and has published in prestigious journals such as Nature Communications, Neuron and Nature Genetics.

In The Last Decade

David Kapfhamer

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kapfhamer United States 18 575 324 299 178 139 23 1.1k
Takahiro Hirabayashi Japan 24 1.1k 2.0× 166 0.5× 708 2.4× 213 1.2× 127 0.9× 52 1.7k
Hervé Tostivint France 29 611 1.1× 236 0.7× 483 1.6× 223 1.3× 119 0.9× 63 2.5k
Xuecai Ge United States 12 1.1k 1.9× 265 0.8× 427 1.4× 397 2.2× 187 1.3× 20 1.7k
Rime Madani Switzerland 16 584 1.0× 221 0.7× 464 1.6× 106 0.6× 279 2.0× 25 1.6k
René Jüttner Germany 23 771 1.3× 135 0.4× 697 2.3× 106 0.6× 127 0.9× 44 1.4k
Caroline L. Tinsley United Kingdom 11 855 1.5× 316 1.0× 588 2.0× 339 1.9× 153 1.1× 14 1.5k
Laura N. Borodinsky United States 23 919 1.6× 185 0.6× 817 2.7× 161 0.9× 130 0.9× 42 1.7k
Mu Sun China 17 475 0.8× 123 0.4× 553 1.8× 103 0.6× 115 0.8× 26 1.1k
Christine L. Jasoni New Zealand 24 732 1.3× 100 0.3× 267 0.9× 248 1.4× 125 0.9× 54 1.6k
Susan Reid United States 9 569 1.0× 107 0.3× 716 2.4× 135 0.8× 151 1.1× 14 1.5k

Countries citing papers authored by David Kapfhamer

Since Specialization
Citations

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

Fields of papers citing papers by David Kapfhamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kapfhamer

This figure shows the co-authorship network connecting the top 25 collaborators of David Kapfhamer. A scholar is included among the top collaborators of David Kapfhamer 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 David Kapfhamer. David Kapfhamer 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.
Roberts, Joseph L., et al.. (2024). IL-17RA Signaling in Prx1+ Mesenchymal Cells Influences Fracture Healing in Mice. International Journal of Molecular Sciences. 25(7). 3751–3751. 1 indexed citations
2.
Kapfhamer, David, et al.. (2020). Ornithine decarboxylase, the rate-limiting enzyme of polyamine synthesis, modifies brain pathology in a mouse model of tuberous sclerosis complex. Human Molecular Genetics. 29(14). 2395–2407. 5 indexed citations
3.
Shen, Yiguo, David Kapfhamer, Ji‐Eun Kim, et al.. (2017). Bioenergetic state regulates innate inflammatory responses through the transcriptional co-repressor CtBP. Nature Communications. 8(1). 624–624. 101 indexed citations
4.
5.
Xu, Jianguo, et al.. (2016). Microglial activation induced by the alarmin S100B is regulated by poly(ADP‐ribose) polymerase‐1. Glia. 64(11). 1869–1878. 36 indexed citations
6.
Kapfhamer, David, Stacy Taylor, Mimi E. Zou, et al.. (2012). Taok2 controls behavioral response to ethanol in mice. Genes Brain & Behavior. 12(1). 87–97. 19 indexed citations
7.
Kapfhamer, David, Ian King, Mimi E. Zou, et al.. (2012). JNK Pathway Activation Is Controlled by Tao/TAOK3 to Modulate Ethanol Sensitivity. PLoS ONE. 7(12). e50594–e50594. 31 indexed citations
8.
Kivimäe, Saul, et al.. (2011). Abnormal behavior in mice mutant for the Disc1 binding partner, Dixdc1. Translational Psychiatry. 1(9). e43–e43. 19 indexed citations
9.
Kapfhamer, David, Karen H. Berger, F. Woodward Hopf, et al.. (2010). Protein Phosphatase 2A and Glycogen Synthase Kinase 3 Signaling Modulate Prepulse Inhibition of the Acoustic Startle Response by Altering Cortical M-Type Potassium Channel Activity. Journal of Neuroscience. 30(26). 8830–8840. 62 indexed citations
10.
Lasek, Amy W., et al.. (2010). Lmo4 in the nucleus accumbens regulates cocaine sensitivity. Genes Brain & Behavior. 9(7). 817–824. 25 indexed citations
11.
Heberlein, Ulrike, Linus Tsai, David Kapfhamer, & Amy W. Lasek. (2008). Drosophila, a genetic model system to study cocaine-related behaviors: A review with focus on LIM-only proteins. Neuropharmacology. 56. 97–106. 44 indexed citations
12.
Kapfhamer, David, Jill C. Bettinger, Andrew G. Davies, et al.. (2008). Loss of RAB‐3/A in Caenorhabditis elegans and the mouse affects behavioral response to ethanol. Genes Brain & Behavior. 7(6). 669–676. 44 indexed citations
13.
Kapfhamer, David, et al.. (2006). Biochemical, molecular and behavioral phenotypes of Rab3A mutations in the mouse. Genes Brain & Behavior. 6(1). 77–96. 28 indexed citations
14.
Kapfhamer, David, Otto Valladares, Yi Sun, et al.. (2002). Mutations in Rab3a alter circadian period and homeostatic response to sleep loss in the mouse. Nature Genetics. 32(2). 290–295. 63 indexed citations
15.
Puttagunta, Radhika, Laurie Gordon, Gary Meyer, et al.. (2000). Comparative Maps of Human 19p13.3 and Mouse Chromosome 10 Allow Identification of Sequences at Evolutionary Breakpoints. Genome Research. 10(9). 1369–1380. 29 indexed citations
16.
Qiao, Xiaoxi, María E. Díaz, Andrew A. Peden, et al.. (1998). Mutation in AP-3 δ in the mocha Mouse Links Endosomal Transport to Storage Deficiency in Platelets, Melanosomes, and Synaptic Vesicles. Neuron. 21(1). 111–122. 335 indexed citations
17.
Nolan, Patrick M., David Kapfhamer, & Maja Bućan. (1997). Random Mutagenesis Screen for Dominant Behavioral Mutations in Mice. Methods. 13(4). 379–395. 52 indexed citations
18.
19.
Kapfhamer, David, Diane E. Miller, Stephen B. Lambert, et al.. (1995). Chromosomal Localization of the AnkyrinG Gene (ANK3/Ank3) to Human 10q21 and Mouse 10. Genomics. 27(1). 189–191. 22 indexed citations
20.
Kapfhamer, David & Margit Burmeister. (1994). Genetic Map of the Region around grizzled (gr) and mocha (mh) on Mouse Chromosome 10, Homologous to Human 19p13.3. Genomics. 23(3). 635–642. 8 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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