Mark Velleca

1.3k citations
18 papers · 1.1k · h-index 10

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • 14-3-3 protein interactions 2
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Ubiquitin and proteasome pathways 1
    • Cancer Treatment and Pharmacology 3

Mark Velleca

18 papers receiving 1.1k citations

Peers

Mark Velleca
Comparison fields: 5 of 85
  • Molecular Biology 919
  • Radiology, Nuclear Medicine and Imaging 167
  • Cell Biology 99
  • Immunology 117
  • Biomedical Engineering 221
Replace Charlotta Olsson with:
Charlotta Olsson Sweden
Giuseppe A. Papalia United States
Xiangduo Kong United States
Kenji Tatematsu Japan
Tatiana Coelho‐Sampaio Brazil
Jin G. Park United States
Karen L. Abbott United States
Gila Meir Israel
Scott T. Clarke United States
Philip A. Kuhlman United Kingdom
Mark Velleca relative to Charlotta Olsson Sweden Charlotta Olsson's profile →
Citations per field
00.5×1.5×1.9×
Charlotta Olsson · 1×
Citations per year

Countries citing papers authored by Mark Velleca

Since Specialization
Citations

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

Fields of papers citing papers by Mark Velleca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002463
2 1993194
3 1994120
4 200089
5 198985
6 200262
7 199447
8 199415
9 200411
10 200110
11 19957
12 20095
13 20103
14 20113
15 20072
16 20102
17 20102
18 20041

About Mark Velleca

Mark Velleca is a scholar working on Molecular Biology, Oncology, Cell Biology, Pharmacology and Genetics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), RNA and protein synthesis mechanisms (3 papers), 14-3-3 protein interactions (2 papers), Cellular transport and secretion (2 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (919 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Cell Biology (99 citations), Immunology (117 citations) and Biomedical Engineering (221 citations). Mark Velleca has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Zhimin Zhou, Brian G. Grimwade, Qin Fu, Barry Schweitzer, Scott Roberts, Minjuan Wang, Jason Christiansen, Velizar T. Tchernev, Stephen F. Kingsmore and Kevan M. Shokat. Their work appears in journals such as Cancer Research, Molecular and Cellular Biology, The Journal of Cell Biology, Assay and Drug Development Technologies and Drug Discovery Today.

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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