Patrick Martin

1.2k citations
14 papers · 250 · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Gene expression and cancer classification 4
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 2
    • Gene Regulatory Network Analysis 2
    • Plant-Microbe Interactions and Immunity 2
    • Plant Pathogenic Bacteria Studies 2
    • Plant Virus Research Studies 2

Patrick Martin

11 papers receiving 249 citations

Peers

Patrick Martin
Comparison fields: 5 of 47
  • Plant Science 139
  • Business and International Management 6
  • Molecular Biology 191
  • Biotechnology 22
  • Biophysics 7
Replace Hang Su with:
Hang Su China
Yu‐Hung Hung United States
Kuntal De United States
Yuanchun Wang United States
Natalie J. Nannas United States
Ana Atanassova Belgium
Vandasue Rodrigues Denmark
Yafei Zhao China
Eleftheria Saplaoura Germany
Erika Toda Japan
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Citations per field
00.5×1.5×
Hang Su · 1×
Citations per year

Countries citing papers authored by Patrick Martin

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Martin, 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 Patrick Martin Line = papers co-authored together Patrick Martin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202097
2 202177
3 202116
4 202315
5 202213
6 202211
7 202311
8 20204
9 20243
10 20242
11 20251
12 20260
13 20250
14 20240

About Patrick Martin

Patrick Martin is a scholar working on Molecular Biology, Plant Science, Animal Science and Zoology, Health Informatics and Catalysis, having authored 14 papers that have together received 250 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (4 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Plant Virus Research Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Plant Science (139 citations), Business and International Management (6 citations), Molecular Biology (191 citations), Biotechnology (22 citations) and Biophysics (7 citations). Patrick Martin has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Johannes Stuttmann, Sylvestre Marillonnet, Erin J. Cram, Ramona Grützner, Carolyn W. T. Lee‐Parsons, Ulla Bonas, Jana Ordon, Jessica Lee Erickson, Jens Keilwagen and Thomas Berner. Their work appears in journals such as Molecular Systems Biology, The Plant Journal, Computational and Structural Biotechnology Journal, Green Chemistry Letters and Reviews and Plant Communications.

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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