Mark Stump

1.7k citations
11 papers · 321 · h-index 7

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • Wnt/β-catenin signaling in development and cancer
    • RNA Interference and Gene Delivery
    • Microbial Community Ecology and Physiology

Papers in

    • RNA and protein synthesis mechanisms 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • RNA Interference and Gene Delivery 2
    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Virus-based gene therapy research 2

Mark Stump

11 papers receiving 314 citations

Peers

Mark Stump
Comparison fields: 5 of 69
  • Molecular Biology 259
  • Ecology 43
  • Biotechnology 14
  • Genetics 41
  • Cell Biology 19
Replace Katherine Atkins Latham with:
Katherine Atkins Latham United States
Catherine C. Going United States
Norihito Muranaka Japan
Natalie Krahn United States
Mariola Szenk United States
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Svetlana Rogulina United States
Yuying Gosser United States
Hironori Omura Japan
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Citations per field
00.5×1.7×
Katherine Atkins Latham · 1×
Citations per year

Countries citing papers authored by Mark Stump

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001181
2 199662
3 201429
4 200313
5 20017
6 20037
7 20156
8
Functional analysis of filamentous phage f1 mRNA processing sites.
19966
9 20024
10 20023
11 19973

About Mark Stump

Mark Stump is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Cell Biology, having authored 11 papers that have together received 321 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Molecular Biology (259 citations), Ecology (43 citations), Biotechnology (14 citations), Genetics (41 citations) and Cell Biology (19 citations). Mark Stump has collaborated with scholars based in United States. Frequent co-authors include Robert B. Weiss, Dennis Maeder, Frank T. Robb, Jocelyne DiRuggiero, James R. Brown, Raymond Yeh, Karin D. Caldwell, Alexander Kamb, Michael Pierce and Deborah A. Steege. Their work appears in journals such as SLAS DISCOVERY, PLoS ONE, Molecular Therapy, Analytical Biochemistry and International Journal of Cancer.

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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