Ron Jacak

2.8k citations
5 papers · 405 indexed · h-index 5

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • Protein purification and stability

Papers in

    • Protein Structure and Dynamics 3
    • RNA Research and Splicing 1
    • Protein purification and stability 1
    • RNA and protein synthesis mechanisms 1
    • Chemical Synthesis and Analysis 1

Ron Jacak

5 papers receiving 400 citations

Peers

Ron Jacak
Comparison fields: 5 of 74
  • Molecular Biology 347
  • Biotechnology 33
  • Radiology, Nuclear Medicine and Imaging 69
  • Materials Chemistry 112
  • Cellular and Molecular Neuroscience 26
Replace Daniel McMullan with:
Daniel McMullan United States
Natsuko Matsuda Japan
Aimee M. Eldridge United States
Meng Gao China
Julia K. Varga Israel
E. Dobrovetsky Canada
Samer Halabiya United States
D.J.R. Pugh South Africa
Andrew A. Kosky United States
Ariel Erijman Israel
Ron Jacak relative to Daniel McMullan United States Daniel McMullan's profile →
Citations per field
00.5×10×13×
Daniel McMullan · 1×
Citations per year

Countries citing papers authored by Ron Jacak

Since Specialization
Citations

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

Fields of papers citing papers by Ron Jacak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Ron Jacak

Ron Jacak is a scholar working on Biotechnology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Materials Chemistry, having authored 5 papers that have together received 405 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (2 papers), Cardiomyopathy and Myosin Studies (1 paper), RNA Research and Splicing (1 paper), Protein purification and stability (1 paper), RNA and protein synthesis mechanisms (1 paper), Chemical Synthesis and Analysis (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Molecular Biology (347 citations), Biotechnology (33 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Materials Chemistry (112 citations) and Cellular and Molecular Neuroscience (26 citations). Ron Jacak has collaborated with scholars based in United States. Frequent co-authors include Brian Kuhlman, Andrew Leaver‐Fay, P. Benjamin Stranges, Sergey Lyskov, Jeffrey J. Gray, James J. Havranek, Jane S. Richardson, Elizabeth H. Kellogg, Tanja Kortemme and Roland A. Pache. Their work appears in journals such as PLoS ONE, Methods in enzymology on CD-ROM/Methods in enzymology, Proteins Structure Function and Bioinformatics and Journal of Biological Chemistry.

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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