Peter Leeds

1.6k total citations
9 papers, 1.4k citations indexed

About

Peter Leeds is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Peter Leeds has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Epidemiology. Recurrent topics in Peter Leeds's work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (4 papers). Peter Leeds is often cited by papers focused on RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (4 papers). Peter Leeds collaborates with scholars based in United States, Poland and Canada. Peter Leeds's co-authors include Michael R. Culbertson, Stuart W. Peltz, Allan Jacobson, Bor‐Shiunn Lee, John Wood, Jeffrey Ross, Bum-Soo Lee, Audrey L. Atkin, Nicola Altamura and Rebecca D. Prokipcak and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Peter Leeds

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Leeds United States	9	1.3k	75	74	69	64	9	1.4k
David A. Mangus United States	15	1.8k 1.4×	75 1.0×	132 1.8×	91 1.3×	111 1.7×	20	2.0k
Kianoush Khaleghpour Canada	8	827 0.6×	51 0.7×	174 2.4×	65 0.9×	63 1.0×	8	957
Elizabeth L. Thompson United States	11	1000 0.8×	79 1.1×	28 0.4×	81 1.2×	87 1.4×	15	1.1k
Aline Marnef France	17	980 0.8×	75 1.0×	44 0.6×	140 2.0×	111 1.7×	21	1.1k
Florian Weighardt Italy	14	991 0.8×	54 0.7×	68 0.9×	107 1.6×	83 1.3×	15	1.1k
Emanuel Rosonina Canada	19	1.4k 1.1×	82 1.1×	26 0.4×	95 1.4×	79 1.2×	27	1.5k
Sophie Martin United States	11	1.1k 0.8×	75 1.0×	59 0.8×	108 1.6×	34 0.5×	12	1.2k
Guramrit Singh United States	19	1.7k 1.3×	158 2.1×	78 1.1×	77 1.1×	60 0.9×	32	1.8k
Marcella Simili Italy	16	547 0.4×	173 2.3×	29 0.4×	55 0.8×	77 1.2×	37	696
Matthew Wollerton United Kingdom	9	979 0.8×	115 1.5×	57 0.8×	34 0.5×	49 0.8×	9	1.1k

Countries citing papers authored by Peter Leeds

Since Specialization

Citations

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

Fields of papers citing papers by Peter Leeds

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Leeds

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

All Works

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9 of 9 papers shown

Culbertson, Michael R. & Peter Leeds. (2003). Looking at mRNA decay pathways through the window of molecular evolution. Current Opinion in Genetics & Development. 13(2). 207–214. 111 indexed citations

Doyle, Glenn A., et al.. (1998). The c-myc coding region determinant-binding protein: a member of a family of KH domain RNA-binding proteins. Nucleic Acids Research. 26(22). 5036–5044. 147 indexed citations

Leeds, Peter, et al.. (1998). Purification and Characterization of a Polysome-associated Endoribonuclease That Degrades c-myc mRNA in Vitro. Journal of Biological Chemistry. 273(39). 25261–25271. 54 indexed citations

Leeds, Peter, Betsy T. Kren, Joan M. Boylan, et al.. (1997). Developmental regulation of CRD-BP, an RNA-binding protein that stabilizes c-myc mRNA in vitro. Oncogene. 14(11). 1279–1286. 92 indexed citations

Atkin, Audrey L., Nicola Altamura, Peter Leeds, & Michael R. Culbertson. (1995). The majority of yeast UPF1 co-localizes with polyribosomes in the cytoplasm.. Molecular Biology of the Cell. 6(5). 611–625. 118 indexed citations

Leeds, Peter, et al.. (1992). Gene Products That Promote mRNA Turnover in Saccharomyces cerevisiae. Molecular and Cellular Biology. 12(5). 2165–2177. 128 indexed citations

Leeds, Peter, John Wood, Bor‐Shiunn Lee, & Michael R. Culbertson. (1992). Gene products that promote mRNA turnover in Saccharomyces cerevisiae.. Molecular and Cellular Biology. 12(5). 2165–2177. 274 indexed citations

Leeds, Peter, Stuart W. Peltz, Allan Jacobson, & Michael R. Culbertson. (1991). The product of the yeast UPF1 gene is required for rapid turnover of mRNAs containing a premature translational termination codon.. Genes & Development. 5(12a). 2303–2314. 411 indexed citations

Mendenhall, Michael D., et al.. (1987). Frameshift suppressor mutations affecting the major glycine transfer RNAs of Saccharomyces cerevisiae. Journal of Molecular Biology. 194(1). 41–58. 30 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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