Mark Velleca
Impact in
- Molecular Biology top 10%
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Muscle Physiology and Disorders
- RNA Research and Splicing
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- Monoclonal and Polyclonal Antibodies Research
Papers in ⓘ
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- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 2
- 14-3-3 protein interactions 2
- Cancer-related gene regulation 2
- Oncology 4
- Cancer Treatment and Pharmacology 3
- Co-authors
- Stephen F. Kingsmore (1 shared paper)Velizar T. Tchernev (1 shared paper)Scott Roberts (1 shared paper)Zhimin Zhou (1 shared paper)Minjuan Wang (1 shared paper)Barry Schweitzer (1 shared paper)Qin Fu (1 shared paper)Brian G. Grimwade (1 shared paper)
- Journals
- Cancer Research (2 papers)The Journal of Cell Biology (2 papers)Molecular and Cellular Biology (2 papers)Assay and Drug Development Technologies (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Mark Velleca
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 937
- Radiology, Nuclear Medicine and Imaging 175
- Cell Biology 100
- Immunology 125
- Biomedical Engineering 225
Countries citing papers authored by Mark Velleca
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 461 | |
| 2 | 1993 | 194 | |
| 3 | 1994 | 119 | |
| 4 | 2000 | 89 | |
| 5 | 1989 | 85 | |
| 6 | 2002 | 62 | |
| 7 | 1994 | 47 | |
| 8 | 1994 | 15 | |
| 9 | 2004 | 11 | |
| 10 | 2001 | 10 | |
| 11 | 1995 | 7 | |
| 12 | 2009 | 5 | |
| 13 | 2011 | 3 | |
| 14 | 2010 | 3 | |
| 15 | 2007 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2004 | 1 |
About Mark Velleca
Mark Velleca is a scholar working on Molecular Biology, Oncology, Hematology, Cell Biology and Immunology, 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), RNA Research and Splicing (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), 14-3-3 protein interactions (2 papers), Cancer-related gene regulation (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Molecular Biology (937 citations), Radiology, Nuclear Medicine and Imaging (175 citations), Cell Biology (100 citations), Immunology (125 citations) and Biomedical Engineering (225 citations). Mark Velleca has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Stephen F. Kingsmore, Velizar T. Tchernev, Scott Roberts, Zhimin Zhou, Minjuan Wang, Barry Schweitzer, Qin Fu, Brian G. Grimwade, Jason Christiansen and Kevan M. Shokat. Their work appears in journals such as Cancer Research, The Journal of Cell Biology, Molecular and Cellular Biology, Assay and Drug Development Technologies and Transfusion.
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.