Jim Eberwine

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Jim Eberwine is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Jim Eberwine has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Jim Eberwine's work include Ion channel regulation and function (2 papers), RNA regulation and disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Jim Eberwine is often cited by papers focused on Ion channel regulation and function (2 papers), RNA regulation and disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Jim Eberwine collaborates with scholars based in United States. Jim Eberwine's co-authors include Kevin Miyashiro, Paul D. Coleman, Richard H. Finnell, Helena Yeh, Suresh Nair, Yan Cao, Peter B. Crino, John Q. Trojanowski, Corinne M. Spencer and BethAnn McLaughlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neurochemistry and International Journal of Cancer.

In The Last Decade

Jim Eberwine

9 papers receiving 1000 citations

Hit Papers

Analysis of gene expression in single live neurons. 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Eberwine United States 8 737 276 110 103 90 9 1.0k
Nathalie Doerflinger France 11 753 1.0× 349 1.3× 165 1.5× 97 0.9× 44 0.5× 13 1.2k
Alfonso Lavado United States 19 816 1.1× 374 1.4× 124 1.1× 98 1.0× 84 0.9× 28 1.3k
Adriano Flora Italy 17 855 1.2× 180 0.7× 209 1.9× 92 0.9× 134 1.5× 20 1.2k
Steven G. Matsumoto United States 14 467 0.6× 218 0.8× 81 0.7× 93 0.9× 51 0.6× 22 841
Fumio Yoshikawa Japan 15 925 1.3× 273 1.0× 51 0.5× 28 0.3× 150 1.7× 21 1.2k
David R. Piper United States 20 930 1.3× 464 1.7× 77 0.7× 54 0.5× 49 0.5× 26 1.3k
Maria C. Moschella United States 10 1.1k 1.6× 257 0.9× 86 0.8× 189 1.8× 102 1.1× 11 1.4k
Yuya Yamagishi Japan 13 1.4k 1.8× 321 1.2× 73 0.7× 26 0.3× 189 2.1× 15 1.8k
Estela Carnicero Spain 13 784 1.1× 414 1.5× 78 0.7× 27 0.3× 184 2.0× 22 1.1k
Roberto Simone United Kingdom 9 491 0.7× 115 0.4× 45 0.4× 65 0.6× 66 0.7× 14 806

Countries citing papers authored by Jim Eberwine

Since Specialization
Citations

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

Fields of papers citing papers by Jim Eberwine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Eberwine

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Eberwine. A scholar is included among the top collaborators of Jim Eberwine 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 Jim Eberwine. Jim Eberwine 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.
Barrett, Lindy E., Elisabeth J. Van Bockstaele, Jai‐Yoon Sul, et al.. (2006). Elk-1 associates with the mitochondrial permeability transition pore complex in neurons. Proceedings of the National Academy of Sciences. 103(13). 5155–5160. 50 indexed citations
2.
Eberwine, Jim, et al.. (2001). Transcription Factors in Dendrites: Dendritic Imprinting of the Cellular Nucleus. Results and problems in cell differentiation. 34. 57–67. 12 indexed citations
3.
Berg, Anke van den, et al.. (2000). Frequent lack of translation of antigen presentation-associated molecules MHC class I, CD1a and ?2-microglobulin in Reed-Sternberg cells. International Journal of Cancer. 86(4). 548–552. 7 indexed citations
4.
Rawson, Nancy E., et al.. (2000). Expression of mRNAs Encoding for Two Different Olfactory Receptors in a Subset of Olfactory Receptor Neurons. Journal of Neurochemistry. 75(1). 185–195. 73 indexed citations
5.
Crino, Peter B., John Q. Trojanowski, & Jim Eberwine. (1997). Internexin, MAP1B, and nestin in cortical dysplasia as markers of developmental maturity. Acta Neuropathologica. 93(6). 619–627. 83 indexed citations
6.
McLaughlin, BethAnn, Corinne M. Spencer, & Jim Eberwine. (1996). CAG trinucleotide RNA repeats interact with RNA-binding proteins.. PubMed. 59(3). 561–9. 38 indexed citations
7.
Eberwine, Jim, Helena Yeh, Kevin Miyashiro, et al.. (1992). Analysis of gene expression in single live neurons.. Proceedings of the National Academy of Sciences. 89(7). 3010–3014. 744 indexed citations breakdown →
8.
Valentino, Kyle, Jim Eberwine, & Jack D. Barchas. (1987). In situ hybridization. 8 indexed citations
9.
Roberts, Joseph L., Jim Eberwine, & Connie E. Gee. (1983). Analysis of POMC Gene Expression by Transcription Assay and In Situ Hybridization Histochemistry. Cold Spring Harbor Symposia on Quantitative Biology. 48(0). 385–391. 10 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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