John Platig

2.8k citations
28 papers · 1.5k · h-index 17

Impact in

Papers in

    • Bioinformatics and Genomic Networks 9
    • Gene expression and cancer classification 6
    • Gene Regulatory Network Analysis 3
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3
    • Genetic Associations and Epidemiology 6
    • Genetic Mapping and Diversity in Plants and Animals 3

John Platig

27 papers receiving 1.5k citations

Peers

John Platig
Comparison fields: 5 of 117
  • Genetics 188
  • Pathology and Forensic Medicine 291
  • Molecular Biology 747
  • Aging 16
  • Cancer Research 115
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Citations per field
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Citations per year

Countries citing papers authored by John Platig

Since Specialization
Citations

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

Fields of papers citing papers by John Platig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012435
2 2017274
3 2020240
4 201764
5 201853
6 201750
7 202150
8 202041
9 201736
10 201634
11 201631
12 201828
13 201327
14 201925
15 201924
16 202117
17 202317
18 201814
19 202112
20
Gene regulatory network inference as relaxed graph matching.
202111

About John Platig

John Platig is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cancer Research and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers), Genetic Associations and Epidemiology (6 papers), Tuberculosis Research and Epidemiology (3 papers), Gene Regulatory Network Analysis (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Genetics (188 citations), Pathology and Forensic Medicine (291 citations), Molecular Biology (747 citations), Aging (16 citations) and Cancer Research (115 citations). John Platig has collaborated with scholars based in United States, France and Norway. Frequent co-authors include John D. Quackenbush, Kimberly Glass, Marieke L. Kuijjer, Maud Fagny, Camila M. Lopes‐Ramos, Abhijeet R. Sonawane, Joseph Nathaniel Paulson, Cho-Yi Chen, Dawn Lisa DeMeo and Marouen Ben Guebila. Their work appears in journals such as Cell Reports, PLoS Computational Biology, Genome biology, EBioMedicine and Nature Methods.

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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