Mark Renz

3.1k citations
22 papers · 2.6k · 1 hit paper · h-index 17

Impact in

Papers in

Mark Renz

21 papers receiving 2.5k citations

Mark Renz's Hit Papers

Binding of L-Selectin to the Vascular Sialomucin CD34 1993 · 531 citations
5310+11+22Years since publication100200300400500

Peers

Mark Renz
Comparison fields: 5 of 103
  • Immunology and Allergy 542
  • Virology 278
  • Immunology 650
  • Molecular Biology 1.4k
  • Hepatology 104
Replace Ko Okumura with:
Ko Okumura Japan
Frédéric Borlat Switzerland
Teresa W. Tough Canada
Jan Jongstra Canada
Jean‐Pierre Lenaerts Belgium
Terri Davis‐Smith Canada
Shinya Suzu Japan
Laura Bover United States
Arlene J. Hoogewerf United States
Berend Hooibrink Netherlands
Mark Renz relative to Ko Okumura Japan Ko Okumura's profile →
Citations per field
00.5×4.0×
Ko Okumura · 1×
Citations per year

Countries citing papers authored by Mark Renz

Since Specialization
Citations

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

Fields of papers citing papers by Mark Renz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Binding of L-Selectin to the Vascular Sialomucin CD34
Hit paper breakdown →
1993531
2 2004483
3 2002481
4 1986306
5 2005221
6 199683
7 199980
8 199771
9 199454
10 199747
11 201144
12 198640
13 199035
14 199333
15 201633
16 200026
17 199521
18 198713
19 19988
20
The chronic myelocytic cell line K 562 contains minor (m) as well as major (M) ber/abl fusion mRNAs.
19935

About Mark Renz

Mark Renz is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Immune Response and Inflammation (3 papers), T-cell and Retrovirus Studies (2 papers), Platelet Disorders and Treatments (2 papers), Fibroblast Growth Factor Research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Immunology and Allergy (542 citations), Virology (278 citations), Immunology (650 citations), Molecular Biology (1.4k citations) and Hepatology (104 citations). Mark Renz has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Laurence A. Lasky, Elizabeth Tomlinson, Timothy A. Stewart, Stefan Hemmerich, Steven D. Rosen, William J. Henzel, Mark S. Singer, Ling Fu, Linu M. John and Bruce D. Hultgren. Their work appears in journals such as Science, Journal of Biological Chemistry, Endocrinology, The Journal of Immunology and Amyloid.

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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