Ann‐Marie Mallon

7.5k citations
44 papers · 1.2k indexed · 1 hit paper · h-index 19
  • Aging top 10%
    • Biomedical Text Mining and Ontologies 16
    • Bioinformatics and Genomic Networks 13
    • Gene expression and cancer classification 8
    • Single-cell and spatial transcriptomics 7
    • Genomics and Phylogenetic Studies 6
    • CRISPR and Genetic Engineering 4
    • Genomics and Chromatin Dynamics 4
  • Genetics top 10%
  • Biophysics top 10%
    • Cell Image Analysis Techniques 4

Ann‐Marie Mallon

44 papers receiving 1.2k citations

Hit Papers

The International Mouse Phenotyping Consortium: comprehen...171202220262023202450100150

Peers

Ann‐Marie Mallon
Comparison fields: 5 of 123
  • Aging 33
  • Sensory Systems 63
  • Molecular Biology 863
  • Genetics 274
  • Biophysics 43
Replace Gregory M. Findlay with:
Gregory M. Findlay United States
Lukas M. Weber United States
Rajiv Narayan United States
Arek Kasprzyk United Kingdom
Inkyung Jung South Korea
Nezar Abdennur United States
Peter Krusche United Kingdom
Sandy Klemm United States
Wenxiu Ma United States
Ann‐Marie Mallon relative to Gregory M. Findlay United States Gregory M. Findlay's profile →
Citations per field
00.5×1.5×
Gregory M. Findlay · 1×
Citations per year

Countries citing papers authored by Ann‐Marie Mallon

Since Specialization
Citations

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

Fields of papers citing papers by Ann‐Marie Mallon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Marie Mallon. 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 Ann‐Marie Mallon. The network helps show where Ann‐Marie Mallon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ann‐Marie Mallon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ann‐Marie Mallon Line = papers co-authored together Ann‐Marie Mallon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202225
3 202220
4 20221
5 20216
6 202123
7 20206
8 20203
9 201724
10 201697
11 201518
12 201314
13 20125
14 201024
15 200934
16 200914
17 200810
18 200423
19 20012
20 19988

About Ann‐Marie Mallon

Ann‐Marie Mallon is a scholar working on Biophysics, Molecular Biology and Modeling and Simulation, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (8 papers), Single-cell and spatial transcriptomics (7 papers), Genomics and Phylogenetic Studies (6 papers), CRISPR and Genetic Engineering (4 papers), Cell Image Analysis Techniques (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Aging (33 citations), Sensory Systems (63 citations) and Molecular Biology (863 citations). Ann‐Marie Mallon has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include John M. Hancock, Georgios V. Gkoutos, Duncan Davidson, Andrew Blake, Sara Wells, Steve D. M. Brown, Michelle M. Simon, Damian Smedley, Helen Parkinson and Hugh W. Morgan. 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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