John Marken

2.0k citations
11 papers · 1.6k · 1 hit paper · h-index 9

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
    • Bone Metabolism and Diseases
    • Glycosylation and Glycoproteins Research

Papers in

John Marken

11 papers receiving 1.5k citations

John Marken's Hit Papers

Molecular genetic basis of the histo-blood group ABO system 1990 · 966 citations
9660+12+24Years since publication250500750

Peers

John Marken
Comparison fields: 5 of 59
  • Hematology 447
  • Molecular Biology 432
  • Immunology 88
  • Rheumatology 57
  • Genetics 95
Replace Matthew T. Witkowski with:
Matthew T. Witkowski United States
Weng Hua Khoo Australia
Julia Fröbel Germany
Jordi Félez Spain
Cindy Miller Canada
Clare E. Rogers United States
Miloslav Beran United States
D. Roelcke Germany
Tanya Magazinnik Spektor United States
Yukiya Yamamoto Japan
John Marken relative to Matthew T. Witkowski United States Matthew T. Witkowski's profile →
Citations per field
00.5×2×4×6×7.3×
Matthew T. Witkowski · 1×
Citations per year

Countries citing papers authored by John Marken

Since Specialization
Citations

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

Fields of papers citing papers by John Marken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Molecular genetic basis of the histo-blood group ABO system
Hit paper breakdown →
1990966
2 2000397
3 199570
4 201965
5 199556
6 199422
7 202218
8 201516
9 202115
10 19956
11 20126

About John Marken

John Marken is a scholar working on Rheumatology, Hematology, Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (2 papers), T-cell and B-cell Immunology (1 paper), Bone Metabolism and Diseases (1 paper), Chemokine receptors and signaling (1 paper), Blood groups and transfusion (1 paper), CRISPR and Genetic Engineering (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Hematology (447 citations), Molecular Biology (432 citations), Immunology (88 citations), Rheumatology (57 citations) and Genetics (95 citations). John Marken has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Henrik Clausen, Thayer White, Sen-itiroh Hakomori, Dirk M. Anderson, Christine Bell, Anne E. Hughes, Heather K. Macpherson, Louis Hovy, Michael P. Whyte and Wim Van Hul. Their work appears in journals such as Biochemistry, Frontiers in Immunology, DNA and Cell Biology, PLoS ONE and Nature Genetics.

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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