Mark Moffat

487 citations
14 papers · 424 · h-index 11

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 5
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 4

Mark Moffat

14 papers receiving 403 citations

Peers

Mark Moffat
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 114
  • Hepatology 41
  • Genetics 112
  • Molecular Biology 267
  • Developmental Neuroscience 15
Replace Naomichi Katai with:
Naomichi Katai Japan
Maria M Campos United States
Katherine Dick United States
Gergő Horváth Hungary
Rameeza Allie United States
Meri Mazzoni Italy
Christin Collins United States
María Bjarnadóttir Sweden
Marco Boccitto United States
Nico Janssens Switzerland
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Citations per field
00.5×7.5×
Naomichi Katai · 1×
Citations per year

Countries citing papers authored by Mark Moffat

Since Specialization
Citations

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

Fields of papers citing papers by Mark Moffat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201580
2 199562
3 201054
4 199552
5 200942
6 199038
7 199420
8 199720
9 199520
10 202114
11 199612
12 20105
13 20244
14 20221

About Mark Moffat

Mark Moffat is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 424 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Nuclear Receptors and Signaling (2 papers), CRISPR and Genetic Engineering (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Hepatology (41 citations), Genetics (112 citations), Molecular Biology (267 citations) and Developmental Neuroscience (15 citations). Mark Moffat has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Karen L. O’Malley, Shou C. Wong, Steve Harmon, Young J. Oh, George T. Coker, Robert J. Young, Ann Uhland‐Smith, Wendy L. Cox, Shu Han and Baohong Zhang. Their work appears in journals such as Journal of Neurochemistry, Biotechnology Progress, Experimental Neurology, Neurobiology of Disease and Advances in Therapy.

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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