Jonathan Greene

4.2k citations
48 papers · 3.1k indexed · 1 hit paper · h-index 22

Impact in

    • Antibiotic Resistance in Bacteria
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • RNA modifications and cancer

Papers in

    • RNA and protein synthesis mechanisms 10
    • Genomics and Chromatin Dynamics 6
    • DNA and Nucleic Acid Chemistry 4
    • Gene expression and cancer classification 4
    • RNA modifications and cancer 4

Jonathan Greene

47 papers receiving 3.0k citations

Hit Papers

Genomic targets of the human c-Myc protein 2003 · 764 citations
7642003202620102018250500750

Peers

Jonathan Greene
Comparison fields: 5 of 114
  • Molecular Medicine 286
  • Molecular Biology 2.0k
  • Genetics 494
  • Oncology 456
  • Cancer Research 249
Replace Simon J. McGowan with:
Simon J. McGowan United Kingdom
Hao Luo China
Mirita Franz‐Wachtel Germany
Klaus Roemer Germany
Shinobu Imajoh‐Ohmi Japan
Thomas Grundström Sweden
Scott Cherry United States
Tatos Akopian United States
Guoliang Qing China
Judith A. Lippke United States
Jonathan Greene relative to Simon J. McGowan United Kingdom Simon J. McGowan's profile →
Citations per field
00.5×1.5×2.5×
Simon J. McGowan · 1×
Citations per year

Countries citing papers authored by Jonathan Greene

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20247
3 202421
4 20102
5 201067
6 200936
7 200915
8 200716
9 200423
10 200321
11 2003141
12 200314
13 200315
14 2003115
15
Genomic targets of the human c-Myc protein
Hit paper breakdown →
2003764
16 200236
17 2001131
18 199431
19 19915
20 19876

About Jonathan Greene

Jonathan Greene is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Hepatology and Ecology, having authored 48 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Bacteriophages and microbial interactions (8 papers), Bacterial Genetics and Biotechnology (7 papers), Genomics and Chromatin Dynamics (6 papers), DNA and Nucleic Acid Chemistry (4 papers), Gene expression and cancer classification (4 papers), RNA modifications and cancer (4 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Molecular Medicine (286 citations), Molecular Biology (2.0k citations), Genetics (494 citations), Oncology (456 citations) and Cancer Research (249 citations). Jonathan Greene has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Luquan Wang, Suxing Liu, Paula Fernández, Bruno Amati, Andrea Cocito, Marianne Schroeder, Scott R. Frank, Beth DiDomenico, Ping Qiu and Nicholas Murgolo. Their work appears in journals such as Journal of Biological Chemistry, BMC Genomics, Mammalian Genome, Virology and Brain.

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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