Peter M. Eimon

2.0k total citations · 1 hit paper
25 papers, 1.6k citations indexed

About

Peter M. Eimon is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter M. Eimon has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cell Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter M. Eimon's work include Zebrafish Biomedical Research Applications (9 papers), Mitochondrial Function and Pathology (4 papers) and Cell death mechanisms and regulation (4 papers). Peter M. Eimon is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Mitochondrial Function and Pathology (4 papers) and Cell death mechanisms and regulation (4 papers). Peter M. Eimon collaborates with scholars based in United States, Switzerland and Sweden. Peter M. Eimon's co-authors include Richard M. Harland, Aris N. Economides, Xiaorong Wang, Avi Ashkenazi, Amy L. Rubinstein, Richard M. Harland, Mehmet Fatih Yanik, J. Zha, Erica Kratz and Howard M. Stern and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Peter M. Eimon

25 papers receiving 1.6k citations

Hit Papers

The Xenopus Dorsalizing Factor Gremlin Identifies a Novel... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter M. Eimon United States 16 1.1k 297 212 161 123 25 1.6k
Aya Takesono United Kingdom 18 840 0.8× 274 0.9× 131 0.6× 313 1.9× 139 1.1× 26 1.4k
Ki‐Jun Yoon South Korea 20 1.4k 1.3× 231 0.8× 184 0.9× 130 0.8× 107 0.9× 42 1.8k
Yulan Piao United States 31 2.4k 2.1× 182 0.6× 312 1.5× 325 2.0× 138 1.1× 64 3.1k
Steffen Just Germany 33 2.5k 2.2× 642 2.2× 243 1.1× 114 0.7× 108 0.9× 85 3.3k
Chang‐Yeol Yeo South Korea 26 2.2k 2.0× 302 1.0× 322 1.5× 169 1.0× 310 2.5× 48 2.7k
Boaz P. Levi United States 16 896 0.8× 251 0.8× 148 0.7× 248 1.5× 128 1.0× 18 1.6k
Shigeru Sato Japan 29 1.6k 1.5× 412 1.4× 344 1.6× 256 1.6× 119 1.0× 85 2.8k
Claire M. Schreiner United States 17 1.7k 1.5× 333 1.1× 403 1.9× 309 1.9× 206 1.7× 30 2.4k
Salim Abdelilah‐Seyfried Germany 31 1.9k 1.7× 827 2.8× 225 1.1× 130 0.8× 94 0.8× 75 2.6k
Lingfei Luo China 23 1.0k 1.0× 452 1.5× 243 1.1× 276 1.7× 134 1.1× 91 2.1k

Countries citing papers authored by Peter M. Eimon

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Eimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter M. Eimon

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Eimon. A scholar is included among the top collaborators of Peter M. Eimon 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 Peter M. Eimon. Peter M. Eimon 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.
Ghannad‐Rezaie, Mostafa, et al.. (2019). Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders. Nature Communications. 10(1). 2620–2620. 15 indexed citations
3.
Eimon, Peter M., Mostafa Ghannad‐Rezaie, Gianluca De Rienzo, et al.. (2018). Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects. Nature Communications. 9(1). 219–219. 51 indexed citations
4.
Allalou, Amin, et al.. (2017). Automated deep-phenotyping of the vertebrate brain. eLife. 6. 14 indexed citations
5.
Eimon, Peter M.. (2014). Studying Apoptosis in the Zebrafish. Methods in enzymology on CD-ROM/Methods in enzymology. 544. 395–431. 13 indexed citations
6.
Chang, Tsung-Yao, Peng Shi, Itthi Chatnuntawech, et al.. (2014). Organ-targeted high-throughput in vivo biologics screen identifies materials for RNA delivery. Integrative Biology. 6(10). 926–934. 22 indexed citations
7.
Allalou, Amin, et al.. (2013). High-throughput hyperdimensional vertebrate phenotyping. RePEc: Research Papers in Economics. 1 indexed citations
8.
Allalou, Amin, et al.. (2013). High-throughput hyperdimensional vertebrate phenotyping. Nature Communications. 4(1). 1467–1467. 65 indexed citations
9.
Eimon, Peter M. & Avi Ashkenazi. (2009). The zebrafish as a model organism for the study of apoptosis. APOPTOSIS. 15(3). 331–349. 117 indexed citations
10.
Eimon, Peter M. & Amy L. Rubinstein. (2009). The use ofin vivozebrafish assays in drug toxicity screening. Expert Opinion on Drug Metabolism & Toxicology. 5(4). 393–401. 114 indexed citations
11.
Eimon, Peter M., et al.. (2008). Automated Acute Toxicity Testing Using Fluorescent Transgenic Zebrafish Embryos. Toxicology. 253(1-3). 5–6. 4 indexed citations
12.
Kratz, Erica, Peter M. Eimon, Kiran Mukhyala, et al.. (2006). Functional characterization of the Bcl-2 gene family in the zebrafish. Cell Death and Differentiation. 13(10). 1631–1640. 118 indexed citations
13.
Eimon, Peter M., Erica Kratz, Eugene Varfolomeev, et al.. (2006). Delineation of the cell-extrinsic apoptosis pathway in the zebrafish. Cell Death and Differentiation. 13(10). 1619–1630. 92 indexed citations
14.
Eimon, Peter M. & Richard M. Harland. (2002). Effects of heterodimerization and proteolytic processing on Derriere and Nodal activity: implications for mesoderm induction inXenopus. Development. 129(13). 3089–3103. 65 indexed citations
15.
Dionne, Marc, Lisa J. Brunet, Peter M. Eimon, & Richard M. Harland. (2002). Noggin Is Required for Correct Guidance of Dorsal Root Ganglion Axons. Developmental Biology. 251(2). 283–293. 14 indexed citations
16.
Eimon, Peter M. & Richard M. Harland. (2001). Xenopus Dan, a member of the Dan gene family of BMP antagonists, is expressed in derivatives of the cranial and trunk neural crest. Mechanisms of Development. 107(1-2). 187–189. 19 indexed citations
17.
Eimon, Peter M. & Richard M. Harland. (1999). In Xenopus Embryos, BMP Heterodimers Are Not Required for Mesoderm Induction, but BMP Activity Is Necessary for Dorsal/Ventral Patterning. Developmental Biology. 216(1). 29–40. 32 indexed citations
18.
Economides, Aris N., et al.. (1998). The Xenopus Dorsalizing Factor Gremlin Identifies a Novel Family of Secreted Proteins that Antagonize BMP Activities. Molecular Cell. 1(5). 673–683. 526 indexed citations breakdown →
19.
Eimon, Peter M., Susan Chung, Connie M. Lee, Richard Weindruch, & Judd M. Aiken. (1996). Age-associated mitochondrial DNA deletions in mouse skeletal muscle: Comparison of different regions of the mitochondrial genome. Developmental Genetics. 18(2). 107–113. 37 indexed citations
20.
Lee, Connie M., Peter M. Eimon, Richard Weindruch, & Judd M. Aiken. (1994). Direct repeat sequences are not required at the breakpoints of age-associated mitochondrial DNA deletions in rhesus monkeys. Mechanisms of Ageing and Development. 75(1). 69–79. 29 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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