Melissa M. Pentony

2.4k citations
12 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
Genomics and Phylogenetic Studies (5 papers)Protein Structure and Dynamics (3 papers)Cancer Genomics and Diagnostics (3 papers)

In The Last Decade

Melissa M. Pentony

12 papers receiving 1.6k citations

Hit Papers

Assessment of methods for amino acid matrix selection and...20062026201220192006250500750

Peers

Melissa M. Pentony
Comparison fields: 5 of 110
  • Molecular Biology 895
  • Plant Science 343
  • Genetics 330
  • Ecology 329
  • Ecology, Evolution, Behavior and Systematics 222
Replace Christian M. Zmasek with:
Christian M. Zmasek United States
Federico Abascal Spain
Mary J. O’Connell United States
Aakrosh Ratan United States
François Serra Spain
George Asimenos United States
Vincent Cahais France
Leonidas Salichos United States
Sonja J. Prohaska Germany
Surendra Kumar Canada
Melissa M. Pentony relative to Christian M. Zmasek United States Christian M. Zmasek's profile →
Citations per field
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Christian M. Zmasek · 1×
Citations per year

Countries citing papers authored by Melissa M. Pentony

Since Specialization
Citations

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

Fields of papers citing papers by Melissa M. Pentony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa M. Pentony

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 140
2 26
3 14
4 160
5 30
6 7
7 87
8 61
9 14
10 18
11
Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justifiedbreakdown →
935
12 110

About Melissa M. Pentony

Melissa M. Pentony is a scholar working on Cancer Research, Molecular Biology and Spectroscopy, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Protein Structure and Dynamics (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Paleontology (100 citations), Molecular Biology (895 citations) and Ecology (329 citations). Melissa M. Pentony has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Christopher J. Creevey, Thomas Keane, Thomas J. Naughton, David T. Jones, Michael D. Purugganan, Yvonne J. K. Edwards, Anna Lobley, Rhoda Kinsella, Gayle K. Philip and Mary J. O’Connell. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.

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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