John Marken
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Pluripotent Stem Cells Research 1
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Thayer White (1 shared paper)Sen-itiroh Hakomori (1 shared paper)Henrik Clausen (1 shared paper)Heather MacPherson (1 shared paper)Wim Van Hul (1 shared paper)Michael P. Whyte (1 shared paper)Dirk Anderson (1 shared paper)L. Hovy (1 shared paper)
- Journals
- Biochemistry (3 papers)Arthritis Research & Therapy (2 papers)Lupus Science & Medicine (1 paper)PLoS ONE (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
John Marken
13 papers receiving 1.4k citations
John Marken's Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 568
- Immunology 261
- Physiology 304
- Oncology 267
- Genetics 104
Countries citing papers authored by John Marken
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Molecular genetic basis of the histo-blood group ABO system Hit paper breakdown → | 1990 | 873 |
| 2 | 2000 | 353 | |
| 3 | 1995 | 67 | |
| 4 | 2019 | 62 | |
| 5 | 1995 | 54 | |
| 6 | 1994 | 22 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 1995 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2016 | 2 | |
| 13 | 2021 | 1 |
About John Marken
John Marken is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Rheumatology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Glycosylation and Glycoproteins Research (3 papers), Immune Response and Inflammation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Immunotherapy and Immune Responses (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hematology (568 citations), Immunology (261 citations), Physiology (304 citations), Oncology (267 citations) and Genetics (104 citations). John Marken has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Thayer White, Sen-itiroh Hakomori, Henrik Clausen, Heather MacPherson, Wim Van Hul, Michael P. Whyte, Dirk Anderson, L. Hovy, Anne E. Hughes and Christine Bell. Their work appears in journals such as Biochemistry, Arthritis Research & Therapy, Lupus Science & Medicine, PLoS ONE and Frontiers in Immunology.
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.