Amy M. Kachinsky

584 total citations
8 papers, 501 citations indexed

About

Amy M. Kachinsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amy M. Kachinsky has authored 8 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amy M. Kachinsky's work include Muscle Physiology and Disorders (6 papers), Cardiomyopathy and Myosin Studies (2 papers) and RNA Research and Splicing (2 papers). Amy M. Kachinsky is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Cardiomyopathy and Myosin Studies (2 papers) and RNA Research and Splicing (2 papers). Amy M. Kachinsky collaborates with scholars based in United States. Amy M. Kachinsky's co-authors include Jeffrey B. Miller, Janice A. Dominov, Stanley C. Froehner, Sharon L. Milgram, Michele Solimena, Ronald Dirkx, Tatiana Ort, Elena Maksimova, Nancy E. Block and Lih‐Shen Chin and has published in prestigious journals such as The Journal of Cell Biology, Developmental Biology and Experimental Cell Research.

In The Last Decade

Amy M. Kachinsky

8 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy M. Kachinsky United States	7	395	118	88	69	64	8	501
A Schweitzer France	10	431 1.1×	183 1.6×	77 0.9×	34 0.5×	54 0.8×	18	692
Ronit Lahav United States	8	390 1.0×	212 1.8×	95 1.1×	67 1.0×	81 1.3×	8	740
Fabian Kruse Germany	13	407 1.0×	68 0.6×	76 0.9×	42 0.6×	120 1.9×	15	650
Takahito Niiyama Japan	11	242 0.6×	72 0.6×	58 0.7×	44 0.6×	98 1.5×	24	435
Faikah Abou‐Rebyeh Germany	6	329 0.8×	53 0.4×	79 0.9×	50 0.7×	140 2.2×	8	521
Christine A. Kostek United States	10	439 1.1×	63 0.5×	66 0.8×	52 0.8×	268 4.2×	10	757
Phong D. Nguyen Australia	11	464 1.2×	169 1.4×	94 1.1×	40 0.6×	35 0.5×	16	624
Keren Bismuth France	9	251 0.6×	116 1.0×	43 0.5×	39 0.6×	70 1.1×	14	466
Annita Achilleos United States	12	404 1.0×	96 0.8×	89 1.0×	131 1.9×	51 0.8×	12	665
Sandra J. Feeney Australia	14	233 0.6×	72 0.6×	137 1.6×	192 2.8×	74 1.2×	21	553

Countries citing papers authored by Amy M. Kachinsky

Since Specialization

Citations

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

Fields of papers citing papers by Amy M. Kachinsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy M. Kachinsky. 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 Amy M. Kachinsky. The network helps show where Amy M. Kachinsky may publish in the future.

Co-authorship network of co-authors of Amy M. Kachinsky

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

All Works

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8 of 8 papers shown

Ort, Tatiana, Elena Maksimova, Ronald Dirkx, et al.. (2000). The receptor tyrosine phosphatase-like protein ICA512 binds the PDZ domains of β2-syntrophin and nNOS in pancreatic β-cells. European Journal of Cell Biology. 79(9). 621–630. 55 indexed citations

Chin, Lih‐Shen, et al.. (1999). Neuron-specific and developmental regulation of the synapsin II gene expression in transgenic mice. Molecular Brain Research. 67(2). 239–246. 10 indexed citations

Kachinsky, Amy M., Stanley C. Froehner, & Sharon L. Milgram. (1999). A PDZ-containing Scaffold Related to the Dystrophin Complex at the Basolateral Membrane of Epithelial Cells. The Journal of Cell Biology. 145(2). 391–402. 85 indexed citations

Mei, Lin, et al.. (1996). Differential Expression of PTP1D, a Protein Tyrosine Phosphatase with Two SH2 Domains, in Slow and Fast Skeletal Muscle Fibers. Experimental Cell Research. 224(2). 379–390. 5 indexed citations

Block, Nancy E., Zhimin Zhu, Amy M. Kachinsky, Janice A. Dominov, & Jeffrey B. Miller. (1996). Acceleration of somitic myogenesis in embryos of myogenin promoter-MRF4 transgenic mice. Developmental Dynamics. 207(4). 382–394. 10 indexed citations

Kachinsky, Amy M., Janice A. Dominov, & Jeffrey B. Miller. (1995). Intermediate filaments in cardiac myogenesis: nestin in the developing mouse heart.. Journal of Histochemistry & Cytochemistry. 43(8). 843–847. 130 indexed citations

Kachinsky, Amy M., Janice A. Dominov, & Jeffrey B. Miller. (1994). Myogenesis and the Intermediate Filament Protein, Nestin. Developmental Biology. 165(1). 216–228. 112 indexed citations

Kachinsky, Amy M., et al.. (1994). Somite subdomains, muscle cell origins, and the four muscle regulatory factor proteins.. The Journal of Cell Biology. 127(1). 95–105. 94 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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