Mark Ruben

606 citations
9 papers · 490 · h-index 9

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • Chemical Synthesis and Analysis 2
    • Click Chemistry and Applications 3
    • Carbohydrate Chemistry and Synthesis 2

Mark Ruben

9 papers receiving 488 citations

Peers

Mark Ruben
Comparison fields: 5 of 58
  • Infectious Diseases 150
  • Organic Chemistry 205
  • Animal Science and Zoology 53
  • Molecular Biology 270
  • Cell Biology 48
Replace Linghang Peng with:
Linghang Peng United States
Yibei Xiao China
Louise Thauvette Canada
Jie Qing China
D.P. Nannemann United States
Ana M. Mildner United States
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Peggy Huang United States
Seo Jung Hong United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Ruben

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 2015174
2 2012104
3 201370
4 201033
5 201129
6 201227
7 201124
8 201216
9 201713

About Mark Ruben

Mark Ruben is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 490 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), Click Chemistry and Applications (3 papers), Peptidase Inhibition and Analysis (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Infectious Diseases (150 citations), Organic Chemistry (205 citations), Animal Science and Zoology (53 citations), Molecular Biology (270 citations) and Cell Biology (48 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 I. Willems, Gijsbert A. van der Marel, Nan Li, Anastasia Gulyaeva, Igor A. Sidorov, Kathleen Lehmann, A. M. Leontovich and Clara C. Posthuma. Their work appears in journals such as Angewandte Chemie International Edition, European Journal of Organic Chemistry, Organic Letters, Bioorganic & Medicinal Chemistry and Nucleic Acids Research.

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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