Philip MacMenamin

5.3k citations
6 papers · 4.3k indexed · 1 hit paper · h-index 5
Topics
RNA modifications and cancer (2 papers)MicroRNA in disease regulation (2 papers)RNA Research and Splicing (2 papers)
Partner nations
United States

In The Last Decade

Philip MacMenamin

6 papers receiving 4.2k citations

Hit Papers

Combinatorial microRNA target predictions2005202620122019200510002.0k3.0k

Peers

Philip MacMenamin
Comparison fields: 5 of 133
  • Molecular Biology 3.6k
  • Cancer Research 3.4k
  • Immunology 242
  • Plant Science 150
  • Genetics 126
Replace Richard I. Gregory with:
Richard I. Gregory United States
Azra Krek United States
Inga Loedige Germany
Huili Guo Singapore
Shobha Vasudevan United States
Phillip Grote Germany
Daehyun Baek South Korea
Thimmaiah P. Chendrimada United States
Ulf Andersson Ørom Denmark
Thomas F. Duchaîne Canada
Philip MacMenamin relative to Richard I. Gregory United States Richard I. Gregory's profile →
Citations per field
00.5×1.5×
Richard I. Gregory · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 3
2 107
3 37
4 18
5 345
6
Combinatorial microRNA target predictionsbreakdown →
3783

About Philip MacMenamin

Philip MacMenamin is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 6 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (3.4k citations), Aging (123 citations) and Molecular Biology (3.6k citations). Philip MacMenamin has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

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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