Jodi Eipper-Mains

855 total citations
10 papers, 646 citations indexed

About

Jodi Eipper-Mains is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Jodi Eipper-Mains has authored 10 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cancer Research. Recurrent topics in Jodi Eipper-Mains's work include RNA Research and Splicing (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jodi Eipper-Mains is often cited by papers focused on RNA Research and Splicing (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jodi Eipper-Mains collaborates with scholars based in United States. Jodi Eipper-Mains's co-authors include Brenton R. Graveley, C. Joel McManus, Michael O. Duff, Joseph D. Coolon, Patricia J. Wittkopp, Richard E. Mains, Betty Eipper, Drew D. Kiraly, Dasaradhi Palakodeti and Sunthorn Pond‐Tor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genome Research and Molecular Endocrinology.

In The Last Decade

Jodi Eipper-Mains

10 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jodi Eipper-Mains United States	8	441	194	136	97	87	10	646
Marita Buescher Singapore	10	400 0.9×	76 0.4×	98 0.7×	119 1.2×	164 1.9×	12	539
Yuanxiang Zhu China	11	888 2.0×	128 0.7×	93 0.7×	101 1.0×	35 0.4×	17	1.0k
Ruifen Weng Singapore	12	280 0.6×	75 0.4×	209 1.5×	76 0.8×	127 1.5×	14	519
Jie Fang China	14	313 0.7×	71 0.4×	100 0.7×	86 0.9×	34 0.4×	49	783
Bluma J. Lesch United States	12	606 1.4×	226 1.2×	58 0.4×	81 0.8×	62 0.7×	26	807
Amy Cording United Kingdom	9	738 1.7×	127 0.7×	64 0.5×	256 2.6×	120 1.4×	11	910
Tugba Guven-Ozkan United States	10	305 0.7×	68 0.4×	52 0.4×	37 0.4×	129 1.5×	12	455
Marco Preußner Germany	15	441 1.0×	62 0.3×	55 0.4×	103 1.1×	54 0.6×	32	685
Antony M Jose United States	17	638 1.4×	83 0.4×	65 0.5×	213 2.2×	35 0.4×	37	899

Countries citing papers authored by Jodi Eipper-Mains

Since Specialization

Citations

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

Fields of papers citing papers by Jodi Eipper-Mains

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jodi Eipper-Mains. 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 Jodi Eipper-Mains. The network helps show where Jodi Eipper-Mains may publish in the future.

Co-authorship network of co-authors of Jodi Eipper-Mains

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

All Works

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10 of 10 papers shown

Eipper-Mains, Jodi, et al.. (2019). Life-Threatening Mistrust: Assessing and Enhancing Capacity to Trust. Psychosomatics. 60(6). 606–611. 2 indexed citations

McManus, C. Joel, Joseph D. Coolon, Jodi Eipper-Mains, Patricia J. Wittkopp, & Brenton R. Graveley. (2014). Evolution of splicing regulatory networks in Drosophila. Genome Research. 24(5). 786–796. 27 indexed citations

McManus, C. Joel, Joseph D. Coolon, Michael O. Duff, et al.. (2014). Regulatory divergence in Drosophila revealed by mRNA-seq (vol 20, pg 816, 2010). 1 indexed citations

Eipper-Mains, Jodi, Betty Eipper, & Richard E. Mains. (2012). Global Approaches to the Role of miRNAs in Drug-Induced Changes in Gene Expression. Frontiers in Genetics. 3. 109–109. 20 indexed citations

Mains, Richard E., Drew D. Kiraly, Jodi Eipper-Mains, Xin‐Ming Ma, & Betty Eipper. (2011). Kalrn promoter usage and isoform expression respond to chronic cocaine exposure. BMC Neuroscience. 12(1). 20–20. 29 indexed citations

Eipper-Mains, Jodi, Drew D. Kiraly, Dasaradhi Palakodeti, et al.. (2011). microRNA-Seq reveals cocaine-regulated expression of striatal microRNAs. RNA. 17(8). 1529–1543. 112 indexed citations

McManus, C. Joel, Michael O. Duff, Jodi Eipper-Mains, & Brenton R. Graveley. (2010). Global analysis of trans -splicing in Drosophila. Proceedings of the National Academy of Sciences. 107(29). 12975–12979. 85 indexed citations

McManus, C. Joel, Joseph D. Coolon, Michael O. Duff, et al.. (2010). Regulatory divergence in Drosophila revealed by mRNA-seq. Genome Research. 20(6). 816–825. 298 indexed citations

Kiraly, Drew D., Jodi Eipper-Mains, Richard E. Mains, & Betty Eipper. (2010). Synaptic Plasticity, a Symphony in GEF. ACS Chemical Neuroscience. 1(5). 348–365. 40 indexed citations

10.

Eipper-Mains, Jodi, et al.. (2005). αvβ3 Integrins and Pyk2 Mediate Insulin-Like Growth Factor I Activation of Src and Mitogen-Activated Protein Kinase in 3T3-L1 Cells. Molecular Endocrinology. 19(7). 1859–1867. 32 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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