Sam J. Moons

733 citations
23 papers · 491 · h-index 13

Impact in

    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Carbohydrate Chemistry and Synthesis

Papers in

    • Glycosylation and Glycoproteins Research 17
    • Chemical Synthesis and Analysis 3
    • Lipid Membrane Structure and Behavior 2
    • Ubiquitin and proteasome pathways 2
    • Carbohydrate Chemistry and Synthesis 11

Sam J. Moons

23 papers receiving 489 citations

Peers

Sam J. Moons
Comparison fields: 5 of 76
  • Immunology 144
  • Organic Chemistry 180
  • Molecular Biology 400
  • Biotechnology 26
  • Cell Biology 47
Replace Ian Loke with:
Ian Loke Australia
Pia Hønnerup Jensen Australia
Marie‐Estelle Losfeld United States
Suttipong Suttapitugsakul United States
Yasuyuki Matsumoto United States
Tomislav Čaval Netherlands
Brian Idoni United States
Haike Ghazarian United States
Weiqian Cao China
Jean‐Claude Michalski France
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Citations per field
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Ian Loke · 1×
Citations per year

Countries citing papers authored by Sam J. Moons

Since Specialization
Citations

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

Fields of papers citing papers by Sam J. Moons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam J. Moons. 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 Sam J. Moons. The network helps show where Sam J. Moons may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021113
2 202172
3 202037
4 201937
5 202228
6 202325
7 202123
8 201920
9 202120
10 201917
11 202217
12 201917
13 202212
14 202012
15 202311
16 20248
17 20236
18 20215
19 20234
20 20233

About Sam J. Moons

Sam J. Moons is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 23 papers that have together received 491 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Carbohydrate Chemistry and Synthesis (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Galectins and Cancer Biology (3 papers), Chemical Synthesis and Analysis (3 papers), Lipid Membrane Structure and Behavior (2 papers), Ubiquitin and proteasome pathways (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Immunology (144 citations), Organic Chemistry (180 citations), Molecular Biology (400 citations), Biotechnology (26 citations) and Cell Biology (47 citations). Sam J. Moons has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Thomas J. Boltje, Christian Büll, Gosse J. Adema, Suzanne B. P. E. Timmermans, Paul B. White, Henrik Clausen, Yoshiki Narimatsu, Hidde Elferink, Corwin M. Nycholat and Zhang Yang. Their work appears in journals such as Glycobiology, ACS Chemical Biology, Journal of the American Chemical Society, Infection and Immunity and ACS Synthetic Biology.

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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