Philip MacMenamin

5.3k total citations · 1 hit paper
6 papers, 4.3k citations indexed

About

Philip MacMenamin is a scholar working on Molecular Biology, Aging and Cancer Research. According to data from OpenAlex, Philip MacMenamin has authored 6 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Aging and 2 papers in Cancer Research. Recurrent topics in Philip MacMenamin's work include RNA modifications and cancer (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). Philip MacMenamin is often cited by papers focused on RNA modifications and cancer (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). Philip MacMenamin collaborates with scholars based in United States. Philip MacMenamin's co-authors include Kristin C. Gunsalus, Azra Krek, Dominic Grün, Nikolaus Rajewsky, Matthew N. Poy, Isabelle da Piedade, Markus Stoffel, Fabio Piano, Nicolas Bray and Teresa Colombo and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Philip MacMenamin

6 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combinatorial microRNA target predictions

2005 3.8k citations Azra Krek, Dominic Grün et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip MacMenamin United States	5	3.6k	3.4k	242	150	126	6	4.3k
Inga Loedige Germany	7	3.2k 0.9×	2.8k 0.8×	335 1.4×	140 0.9×	140 1.1×	7	4.1k
Richard I. Gregory United States	9	3.9k 1.1×	3.0k 0.9×	342 1.4×	162 1.1×	208 1.7×	9	4.7k
Azra Krek United States	9	5.4k 1.5×	4.7k 1.4×	431 1.8×	271 1.8×	211 1.7×	9	6.3k
Huili Guo Singapore	13	4.6k 1.3×	3.7k 1.1×	361 1.5×	292 1.9×	167 1.3×	21	5.4k
Shobha Vasudevan United States	20	3.8k 1.1×	2.8k 0.8×	319 1.3×	194 1.3×	274 2.2×	32	4.6k
Je‐Hyun Yoon United States	31	3.9k 1.1×	3.1k 0.9×	261 1.1×	119 0.8×	119 0.9×	81	4.6k
Phillip Grote Germany	23	2.8k 0.8×	2.1k 0.6×	118 0.5×	57 0.4×	153 1.2×	32	3.3k
Thimmaiah P. Chendrimada United States	9	5.7k 1.6×	4.3k 1.2×	407 1.7×	317 2.1×	256 2.0×	13	6.4k
Kristy Reinert United States	9	3.3k 0.9×	3.0k 0.9×	160 0.7×	81 0.5×	68 0.5×	9	3.9k
Andrew M. Thomson Australia	16	3.0k 0.8×	2.3k 0.7×	239 1.0×	144 1.0×	178 1.4×	26	3.9k

Countries citing papers authored by Philip MacMenamin

Since Specialization

Citations

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

Fields of papers citing papers by Philip MacMenamin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip MacMenamin

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Yinda, Claude Kwe, Stephanie N. Seifert, Philip MacMenamin, et al.. (2019). A Novel Field-Deployable Method for Sequencing and Analyses of Henipavirus Genomes From Complex Samples on the MinION Platform. The Journal of Infectious Diseases. 221(Supplement_4). S383–S388. 3 indexed citations

2.

Weber, Nick, Jennifer Dommer, Philip MacMenamin, et al.. (2017). Nephele: a cloud platform for simplified, standardized and reproducible microbiome data analysis. Bioinformatics. 34(8). 1411–1413. 107 indexed citations

3.

Brauchle, Michael, Karin Kiontke, Philip MacMenamin, David Fitch, & Fabio Piano. (2009). Evolution of early embryogenesis in rhabditid nematodes. Developmental Biology. 335(1). 253–262. 37 indexed citations

4.

Mangone, Marco, et al.. (2007). UTRome.org: a platform for 3'UTR biology in C. elegans. Nucleic Acids Research. 36(Database). D57–D62. 18 indexed citations

5.

Lall, Sabbi, Dominic Grün, Azra Krek, et al.. (2006). A Genome-Wide Map of Conserved MicroRNA Targets in C. elegans. Current Biology. 16(5). 460–471. 345 indexed citations

6.

Krek, Azra, Dominic Grün, Matthew N. Poy, et al.. (2005). Combinatorial microRNA target predictions. Nature Genetics. 37(5). 495–500. 3783 indexed citations breakdown →

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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