Mark Labow
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research 9
- Immunology top 1%
- Immune Response and Inflammation 6
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 9
- Genetics top 2%
- Virus-based gene therapy research 10
- Cancer Research top 5%
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- Monoclonal and Polyclonal Antibodies Research 4
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- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Lia KweeKenneth I. BernsR ChizzonitePaul L. HermonatPerla NunesG JuColin L. StewartH. Scott Baldwin
- Journals
- Proceedings of the National Academy of Sciences (6 papers)The Journal of Immunology (4 papers)Journal of Virology (4 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Mark Labow
58 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology and Allergy 609
- Immunology 1.7k
- Molecular Biology 3.3k
- Genetics 1.1k
- Cancer Research 555
Countries citing papers authored by Mark Labow
This map shows the geographic impact of Mark Labow'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 Labow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Labow more than expected).
Fields of papers citing papers by Mark Labow
This network shows the impact of papers produced by Mark Labow. 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 Labow. The network helps show where Mark Labow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Labow, 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 | 2022 | 6 | |
| 2 | 2015 | 24 | |
| 3 | 2013 | 16 | |
| 4 | 2011 | 19 | |
| 5 | 2009 | 32 | |
| 6 | 2008 | 53 | |
| 7 | 2007 | 178 | |
| 8 | 2007 | 25 | |
| 9 | 2007 | 266 | |
| 10 | 2005 | 40 | |
| 11 | 2004 | 194 | |
| 12 | 2004 | 32 | |
| 13 | 2001 | 14 | |
| 14 | 1997 | 244 | |
| 15 | 1997 | 286 | |
| 16 | 1997 | 24 | |
| 17 | 1995 | 3 | |
| 18 | Molecular Cloning and Characterization of a Second Subunit of the Interleukin 1 Receptor Complexbreakdown → | 1995 | 506 |
| 19 | 1994 | 6 | |
| 20 | 1994 | 318 |
About Mark Labow
Mark Labow is a scholar working on Immunology and Allergy, Immunology, Molecular Biology, Genetics and Oncology, having authored 59 papers that have together received 6.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (9 papers), Cell Adhesion Molecules Research (9 papers), Immune Response and Inflammation (6 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology and Allergy (609 citations), Immunology (1.7k citations), Molecular Biology (3.3k citations), Genetics (1.1k citations) and Cancer Research (555 citations). Mark Labow has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Lia Kwee, Kenneth I. Berns, R Chizzonite, Paul L. Hermonat, Perla Nunes, G Ju, Colin L. Stewart, H. Scott Baldwin, Scott Greenfeder and Kim W. McIntyre. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Journal of Virology, Molecular and Cellular Biology and SLAS DISCOVERY.
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.