Mike Byrom

5.1k citations
3 papers · 4.2k indexed · 2 hit papers · h-index 3

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Aging top 2%

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 1
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 1

Mike Byrom

3 papers receiving 4.1k citations

Hit Papers

The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells 2007 · 1.0k citations
1.0k200520262012201950010001.5k2.0k2.5k

Peers

Mike Byrom
Comparison fields: 5 of 107
  • Cancer Research 3.2k
  • Aging 111
  • Molecular Biology 3.6k
  • Oncology 312
  • Immunology 210
Replace Jaclyn Shingara with:
Jaclyn Shingara United States
Angie Cheng United States
Kristy Reinert United States
Martin Digweed Germany
Carlos le Sage Netherlands
Stefan J. Erkeland Netherlands
Johan P. de Winter Netherlands
Irina Naguibneva France
Cassandra D. Belair United States
Hun‐Way Hwang United States
Mike Byrom relative to Jaclyn Shingara United States Jaclyn Shingara's profile →
Citations per field
00.5×1.5×
Jaclyn Shingara · 1×
Citations per year

Countries citing papers authored by Mike Byrom

Since Specialization
Citations

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

Fields of papers citing papers by Mike Byrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

3 of 3 papers shown

About Mike Byrom

Mike Byrom is a scholar working on Aging, Cancer Research, Genetics, Hematology and Molecular Biology, having authored 3 papers that have together received 4.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer-related molecular mechanisms research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), RNA regulation and disease (1 paper), RNA Research and Splicing (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Cancer Research (3.2k citations), Aging (111 citations), Molecular Biology (3.6k citations), Oncology (312 citations) and Immunology (210 citations). Mike Byrom has collaborated with scholars based in United States and Italy. Frequent co-authors include David Brown, Frank J. Slack, Jaclyn Shingara, Angie Cheng, Steven Johnson, Kristy Reinert, Helge Großhans, Emmanuel Labourier, Mike Wilson and Giovanni Stefani. Their work appears in journals such as Cell, Cancer Research and Cancer Cell.

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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