Mark Ruben
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Organic Chemistry top 10%
- Click Chemistry and Applications
- Carbohydrate Chemistry and Synthesis
Papers in
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- Click Chemistry and Applications 2
- Carbohydrate Chemistry and Synthesis 2
-
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 3
- Chemical Synthesis and Analysis 2
- Co-authors
- Herman S. Overkleeft (8 shared papers)Bogdan I. Florea (4 shared papers)Lianne Irene Willems (3 shared papers)Nan Li (2 shared papers)Gijsbert A. van der Marel (2 shared papers)Dmitry V. Samborskiy (1 shared paper)Jessika C. Zevenhoven-Dobbe (1 shared paper)Igor A. Sidorov (1 shared paper)
- Journals
- Organic Letters (1 paper)Nucleic Acids Research (1 paper)Organic & Biomolecular Chemistry (1 paper)Nature Protocols (1 paper)The Plant Journal (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Mark Ruben
8 papers receiving 463 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 151
- Organic Chemistry 208
- Animal Science and Zoology 54
- Molecular Biology 276
- Radiology, Nuclear Medicine and Imaging 71
Countries citing papers authored by Mark Ruben
This map shows the geographic impact of Mark Ruben'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 Ruben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ruben more than expected).
Fields of papers citing papers by Mark Ruben
This network shows the impact of papers produced by Mark Ruben. 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 Ruben. The network helps show where Mark Ruben may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Ruben, 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 | 2015 | 180 | |
| 2 | 2012 | 131 | |
| 3 | 2013 | 74 | |
| 4 | 2010 | 34 | |
| 5 | 2011 | 31 | |
| 6 | 2011 | 25 | |
| 7 | 2012 | 17 | |
| 8 | 2017 | 13 |
About Mark Ruben
Mark Ruben is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 505 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (3 papers), Click Chemistry and Applications (2 papers), Chemical Synthesis and Analysis (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (151 citations), Organic Chemistry (208 citations), Animal Science and Zoology (54 citations), Molecular Biology (276 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Mark Ruben has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Herman S. Overkleeft, Bogdan I. Florea, Lianne Irene Willems, Nan Li, Gijsbert A. van der Marel, Dmitry V. Samborskiy, Jessika C. Zevenhoven-Dobbe, Igor A. Sidorov, Alexander E. Gorbalenya and Anastasia A. Gulyaeva. Their work appears in journals such as Organic Letters, Nucleic Acids Research, Organic & Biomolecular Chemistry, Nature Protocols and The Plant Journal.
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.