L Glaser

82 papers receiving 5.9k citations

L Glaser's Hit Papers

THE BIOLOGY AND ENZYMOLOGY OF EUKARYOTIC PROTEIN ACYLATION 1988 · 713 citations
7130+12+25Years since publication200400600

Peers

L Glaser
Comparison fields: 5 of 131
  • Developmental Neuroscience 482
  • Cell Biology 1.5k
  • Cellular and Molecular Neuroscience 1.4k
  • Immunology and Allergy 409
  • Molecular Biology 4.3k
Replace Peder Madsen with:
Peder Madsen Denmark
Marc C. Mumby United States
Sachiyo Kawamoto United States
EDWIN H. EYLAR United States
Samuel E. Lux United States
Guillermo Giménez‐Gallego Spain
Leonard H. Rome United States
John H. Carson United States
Gert Kreibich United States
Neil Q. McDonald United Kingdom
L Glaser relative to Peder Madsen Denmark Peder Madsen's profile →
Citations per field
00.5×1.5×2.1×
Peder Madsen · 1×
Citations per year

Countries citing papers authored by L Glaser

Since Specialization
Citations

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

Fields of papers citing papers by L Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE BIOLOGY AND ENZYMOLOGY OF EUKARYOTIC PROTEIN ACYLATION
Hit paper breakdown →
1988713
2 1980272
3 1980247
4 1987221
5 1983213
6 1987206
7 1986206
8 1985196
9 1986191
10 1988176
11 1985160
12 1985155
13 1983139
14 1983137
15 1988132
16 1982130
17 1985128
18 1975127
19 1986116
20 1977111

About L Glaser

L Glaser is a scholar working on Cell Biology, Molecular Biology, Biochemistry, Cellular and Molecular Neuroscience and Cancer Research, having authored 83 papers that have together received 6.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Enzyme Structure and Function (12 papers), Cancer, Hypoxia, and Metabolism (8 papers), Amino Acid Enzymes and Metabolism (8 papers), Nerve injury and regeneration (8 papers), Ion channel regulation and function (6 papers), Cell Adhesion Molecules Research (6 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (482 citations), Cell Biology (1.5k citations), Cellular and Molecular Neuroscience (1.4k citations), Immunology and Allergy (409 citations) and Molecular Biology (4.3k citations). L Glaser has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Dwight A. Towler, S P Adams, Jeffrey I. Gordon, Richard P. Bunge, Dan Cassel, Eric N. Olson, Gregory J. Cole, James L. Salzer, Paul Rothenberg and D R Herbold. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Journal of Bacteriology and Methods in enzymology on CD-ROM/Methods in enzymology.

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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