Marissa Mock

817 citations
12 papers · 581 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Protein purification and stability 2
    • Protein Structure and Dynamics 2
    • vaccines and immunoinformatics approaches 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Monoclonal and Polyclonal Antibodies Research 5

Marissa Mock

12 papers receiving 575 citations

Peers

Marissa Mock
Comparison fields: 5 of 77
  • Molecular Biology 407
  • Radiology, Nuclear Medicine and Imaging 109
  • Organic Chemistry 149
  • Biomaterials 65
  • Surfaces, Coatings and Films 21
Replace Adrian Fegan with:
Adrian Fegan United States
Jay Duffner United States
Geoffray Leriche United States
Jonathan K. Dozier United States
Paul Moody United Kingdom
Yuan Tian China
Annika Borrmann Netherlands
Chris P. Ryan United Kingdom
J.S. Josan United States
Chad J. Pickens United States
Marissa Mock relative to Adrian Fegan United States Adrian Fegan's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Marissa Mock

Since Specialization
Citations

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

Fields of papers citing papers by Marissa Mock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003301
2 200789
3 200870
4 202335
5 201926
6 202420
7 200614
8 20248
9 20218
10 20235
11 20233
12 20232

About Marissa Mock

Marissa Mock is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Immunology and Oncology, having authored 12 papers that have together received 581 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Protein purification and stability (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Protein Structure and Dynamics (2 papers), vaccines and immunoinformatics approaches (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Molecular Biology (407 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Organic Chemistry (149 citations), Biomaterials (65 citations) and Surfaces, Coatings and Films (21 citations). Marissa Mock has collaborated with scholars based in United States, Morocco and Netherlands. Frequent co-authors include David A. Tirrell, A. James Link, Kirk Beebe, Paul Schimmel, Alan J. Russell, G. Ravichandran, Stacey A. Maskarinec, Julie C. Liu, Suzanne C. Edavettal and Christopher J. Langmead. Their work appears in journals such as mAbs, Biotechnology and Bioengineering, Nature, Trends in Pharmacological Sciences and ChemBioChem.

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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