Michelle Dimon

2.3k citations
19 papers · 1.2k · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 4
    • Melanoma and MAPK Pathways 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cancer-related molecular mechanisms research 2

Michelle Dimon

19 papers receiving 1.2k citations

Peers

Michelle Dimon
Comparison fields: 5 of 95
  • Dermatology 106
  • Cancer Research 159
  • Molecular Biology 621
  • Immunology 172
  • Oncology 209
Replace Mateusz Legut with:
Mateusz Legut United Kingdom
Emma Andersson Finland
Cord C. Uphoff Germany
Hervé Ginisty France
Hans‐Richard Rackwitz Germany
Quan Zhu United States
Karen Meerovitch Canada
Ashley Zehnder United States
Adeline J. Hackett United States
Lana Schaffer United States
Michelle Dimon relative to Mateusz Legut United Kingdom Mateusz Legut's profile →
Citations per field
00.5×6.4×
Mateusz Legut · 1×
Citations per year

Countries citing papers authored by Michelle Dimon

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014250
2 2013190
3 2011113
4 2021111
5 2011101
6 201572
7 202040
8 201538
9 201536
10 201035
11 201135
12 201431
13 200825
14 202122
15 201822
16 201521
17 202013
18 201313
19 20222

About Michelle Dimon

Michelle Dimon is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Melanoma and MAPK Pathways (3 papers), Digital Imaging for Blood Diseases (2 papers), Mosquito-borne diseases and control (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacteriophages and microbial interactions (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Dermatology (106 citations), Cancer Research (159 citations), Molecular Biology (621 citations), Immunology (172 citations) and Oncology (209 citations). Michelle Dimon has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Sarah T. Arron, Joe DeRisi, Joseph L. DeRisi, Luzviminda Feeney, Nicoline Y. den Breems, Charlotte M. Proby, Irene M. Leigh, Andrew P. South, William A. Dunn and Stephen A. Watt. Their work appears in journals such as PLoS ONE, Journal of Investigative Dermatology, Nature Communications, Scientific Reports and Journal of the European Academy of Dermatology and Venereology.

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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