Mark Stam

1.5k citations
11 papers · 1.0k · 1 hit paper · h-index 9

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 4
    • Glycosylation and Glycoproteins Research 2
    • Enzyme Production and Characterization 6

Mark Stam

11 papers receiving 999 citations

Mark Stam's Hit Papers

Dividing the large glycoside hydrolase family 13 into subfamilies: towards improved functional annotations of  -amylase-related proteins 2006 · 514 citations
5140+6+13Years since publication100200300400500

Peers

Mark Stam
Comparison fields: 5 of 82
  • Biotechnology 506
  • Nutrition and Dietetics 253
  • Plant Science 381
  • Molecular Biology 583
  • Biomedical Engineering 233
Replace Haiquan Yang with:
Haiquan Yang China
J.E. Flint United Kingdom
Shigeki Hamada Japan
Harry J. Gilbert United Kingdom
Hans M. Jespersen Denmark
Katsuya Ozaki Japan
Kazuaki Igarashi Japan
Marianna Turkiewicz Poland
Jeffrey G. Gardner United States
Hildegard Watzlawick Germany
Mark Stam relative to Haiquan Yang China Haiquan Yang's profile →
Citations per field
00.5×1.5×2.0×
Haiquan Yang · 1×
Citations per year

Countries citing papers authored by Mark Stam

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Dividing the large glycoside hydrolase family 13 into subfamilies: towards improved functional annotations of  -amylase-related proteins
Hit paper breakdown →
2006514
2 2005160
3 2003117
4 201359
5 200538
6 202235
7 201433
8 201630
9 200824
10 20247
11 20146

About Mark Stam

Mark Stam is a scholar working on Molecular Biology, Biotechnology, Organic Chemistry, Plant Science and Biochemistry, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (6 papers), Enzyme Catalysis and Immobilization (4 papers), Carbohydrate Chemistry and Synthesis (2 papers), Glycosylation and Glycoproteins Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Lysosomal Storage Disorders Research (1 paper) and Chemical Reactions and Isotopes (1 paper). The work is most often cited by research in Biotechnology (506 citations), Nutrition and Dietetics (253 citations), Plant Science (381 citations), Molecular Biology (583 citations) and Biomedical Engineering (233 citations). Mark Stam has collaborated with scholars based in France, Australia and Sweden. Frequent co-authors include Bernard Henrissat, Pedro M. Coutinho, Étienne Danchin, Corinne Rancurel, Eric Blanc, Fredrik Sterky, Bahram Amini, Soraya Djerbi, Ewa J. Mellerowicz and Emma R. Master. Their work appears in journals such as Protein Engineering Design and Selection, Biology Direct, Neoplasia, PLANT PHYSIOLOGY and Nature Communications.

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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