Mark Labow

9.2k citations
63 papers · 8k · 1 hit paper · h-index 40

Impact in

Papers in

Mark Labow

62 papers receiving 7.6k citations

Mark Labow's Hit Papers

Selective VPS34 inhibitor blocks autophagy and uncovers a role for NCOA4 in ferritin degradation and iron homeostasis in vivo 2014 · 673 citations
6730+4+8Years since publication200400600

Peers

Mark Labow
Comparison fields: 5 of 129
  • Immunology and Allergy 517
  • Immunology 941
  • Molecular Biology 2.8k
  • Genetics 822
  • Biological Psychiatry 36
Replace Jennifer Lea Stow with:
Jennifer Lea Stow Australia
William Bill Kiosses United States
Yoshinori Fukui Japan
Mark A. McNiven United States
Burkhart L. Schraven Germany
Cosima T. Baldari Italy
Dieter E. Jenne Germany
Marı́a Mittelbrunn Spain
Jean Paul Ortonne France
Attila Mócsai Hungary
Mark Labow relative to Jennifer Lea Stow Australia Jennifer Lea Stow's profile →
Citations per field
00.5×2×3×3.6×
Jennifer Lea Stow · 1×
Citations per year

Countries citing papers authored by Mark Labow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mark Labow Line = papers co-authored together Mark Labow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Selective VPS34 inhibitor blocks autophagy and uncovers a role for NCOA4 in ferritin degradation and iron homeostasis in vivo
Hit paper breakdown →
2014673
2 1995543
3 1995490
4 1994332
5 2003320
6 2005314
7 1997296
8 2007293
9 1996284
10 2013279
11 1984277
12 2006259
13 1997257
14 2009238
15 2004200
16 2007197
17 2009176
18 2013174
19 1986172
20 1998168

About Mark Labow

Mark Labow is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Oncology and Genetics, having authored 63 papers that have together received 8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Genomics and Chromatin Dynamics (6 papers), Immune Response and Inflammation (5 papers), Virus-based gene therapy research (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), T-cell and B-cell Immunology (4 papers), Cell Image Analysis Techniques (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Immunology and Allergy (517 citations), Immunology (941 citations), Molecular Biology (2.8k citations), Genetics (822 citations) and Biological Psychiatry (36 citations). Mark Labow has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Lia Kwee, Kenneth I. Berns, R Chizzonite, Paul L. Hermonat, G Ju, Perla Nunes, Colin L. Stewart, H. Scott Baldwin, Scott A. Greenfeder and Kim W. McIntyre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, The Journal of Immunology, PLoS ONE 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.

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