L. Buts

1.8k citations
47 papers · 1.5k · h-index 20

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 12
    • Protein Structure and Dynamics 8
    • RNA and protein synthesis mechanisms 7
    • Enzyme Structure and Function 14

L. Buts

47 papers receiving 1.5k citations

Peers

L. Buts
Comparison fields: 5 of 90
  • Endocrinology 265
  • Molecular Medicine 242
  • Genetics 476
  • Molecular Biology 979
  • Microbiology 84
Replace Begoña Heras with:
Begoña Heras Australia
David J. Haydon United Kingdom
Devapriya Choudhury India
Ralf Paul Switzerland
Jan Abendroth United States
Viviana Job France
Matthew B. Neiditch United States
Anne Grove United States
Alexander J. F. Egan United Kingdom
Daniel R. Gentry United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Buts

Since Specialization
Citations

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

Fields of papers citing papers by L. Buts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005227
2 2008210
3 2009134
4 2005120
5 200388
6 201282
7 201453
8 201443
9 200138
10 201537
11 200337
12 201432
13 201031
14 201126
15 200726
16 201323
17 201123
18 200321
19 200421
20 200620

About L. Buts

L. Buts is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Endocrinology and Molecular Medicine, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Bacterial Genetics and Biotechnology (13 papers), Glycosylation and Glycoproteins Research (12 papers), Antibiotic Resistance in Bacteria (9 papers), Protein Structure and Dynamics (8 papers), Escherichia coli research studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and Carbohydrate Chemistry and Synthesis (6 papers). The work is most often cited by research in Endocrinology (265 citations), Molecular Medicine (242 citations), Genetics (476 citations), Molecular Biology (979 citations) and Microbiology (84 citations). L. Buts has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Remy Loris, Lode Wyns, Minh‐Hoa Dao‐Thi, Abel Garcia‐Pino, Jurij Lah, Henri De Greve, Erwin De Genst, Julie Bouckaert, Nico A. J. van Nuland and Laurence Van Melderen. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Molecular Microbiology, Nucleic Acids Research and Structure.

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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