Michael Strickler

529 citations
6 papers · 424 · h-index 6

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Steroid Chemistry and Biochemistry 1
    • Biochemical and Molecular Research 1
    • RNA and protein synthesis mechanisms 1
    • Pharmacogenetics and Drug Metabolism 2

Michael Strickler

6 papers receiving 416 citations

Peers

Michael Strickler
Comparison fields: 5 of 72
  • Physiology 33
  • Molecular Biology 343
  • Infectious Diseases 81
  • Molecular Medicine 18
  • Pharmacology 27
Replace Dirk H. Lenz with:
Dirk H. Lenz United States
Hitoshi Hotoda Japan
Melanie N. Hug Switzerland
Masakatsu Kaneko Japan
Jeff D. Moore United States
Larryn W. Peterson United States
Chong‐Sheng Yuan United States
Qingjie Xiao China
Matthew R. Birck United States
Jerome C. Bressi United States
Michael Strickler relative to Dirk H. Lenz United States Dirk H. Lenz's profile →
Citations per field
00.5×4.7×
Dirk H. Lenz · 1×
Citations per year

Countries citing papers authored by Michael Strickler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Strickler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Michael Strickler, 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 Strickler Line = papers co-authored together Michael Strickler links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010152
2 1999121
3 200472
4 200037
5 200325
6 200117

About Michael Strickler

Michael Strickler is a scholar working on Molecular Biology, Pharmacology, Spectroscopy, Oncology and Epidemiology, having authored 6 papers that have together received 424 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Steroid Chemistry and Biochemistry (1 paper), Computational Drug Discovery Methods (1 paper), Biochemical and Molecular Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Physiology (33 citations), Molecular Biology (343 citations), Infectious Diseases (81 citations), Molecular Medicine (18 citations) and Pharmacology (27 citations). Michael Strickler has collaborated with scholars based in United States. Frequent co-authors include Barry Goldstein, Robert L. Grodzicki, Robin E. Stanley, Gregor Blaha, Thomas A. Steitz, George D. Markham, Thomas D. Colby, Michael G. Debije, William A. Bernhard and Gerd Prehna. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Nature Structural & Molecular Biology and Radiation Research.

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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