Michael Ohlmeyer

3.8k citations
52 papers · 2.0k · h-index 22

Impact in

    • Protein Degradation and Inhibitors
    • Chemical Synthesis and Analysis
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • Protein Degradation and Inhibitors 6
    • Protein Tyrosine Phosphatases 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Chemical Synthesis and Analysis 4
    • Histone Deacetylase Inhibitors Research 4
    • Ubiquitin and proteasome pathways 3

Michael Ohlmeyer

51 papers receiving 1.9k citations

Peers

Michael Ohlmeyer
Comparison fields: 5 of 113
  • Molecular Biology 1.5k
  • Hematology 224
  • Oncology 265
  • Cancer Research 128
  • Organic Chemistry 260
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Citations per field
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Citations per year

Countries citing papers authored by Michael Ohlmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ohlmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993346
2 2013188
3 2014167
4 2012164
5 2013102
6 2018101
7 199580
8 201977
9 201271
10 199571
11 201863
12 201555
13 201947
14 201947
15 202041
16 200933
17 202130
18 201426
19 201225
20 202025

About Michael Ohlmeyer

Michael Ohlmeyer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Organic Chemistry, Oncology and Genetics, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Protein Tyrosine Phosphatases (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Chemical Synthesis and Analysis (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Glioma Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Hematology (224 citations), Oncology (265 citations), Cancer Research (128 citations) and Organic Chemistry (260 citations). Michael Ohlmeyer has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Lawrence W. Dillard, W. Clark Still, John Reader, Ming‐Ming Zhou, Guangtao Zhang, Michael Wigler, R. N. Swanson, Andrew R. Clark, E. V. Rusinova and John J. Baldwin. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Cancer Research and PLoS ONE.

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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