L. Mester

997 citations
76 papers · 875 · h-index 19

Impact in

Papers in

    • Receptor Mechanisms and Signaling 7
    • Chemical Synthesis and Analysis 4
    • Glycosylation and Glycoproteins Research 3
    • Carbohydrate Chemistry and Synthesis 6

L. Mester

73 papers receiving 780 citations

Peers

L. Mester
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 147
  • Organic Chemistry 214
  • Biochemistry 38
  • Molecular Biology 327
  • Hematology 48
Replace Johan Järnefelt with:
Johan Järnefelt Finland
Keizo Ito Japan
Therezinha B. Paiva Brazil
Hiroshi Kayakiri Japan
David J. Morgans United States
D. F. Elliott Tanzania
San-Bao Hwang United States
Maria Enrica Ferretti Italy
Alfred. Burger Switzerland
Sherman R. Dickman United States
L. Mester relative to Johan Järnefelt Finland Johan Järnefelt's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Mester

Since Specialization
Citations

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

Fields of papers citing papers by L. Mester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200948
2 201242
3 201238
4 197934
5 195533
6 197232
7 201031
8 195531
9 201029
10 196227
11 196925
12 196525
13 195824
14 201023
15 197821
16 195521
17
Endocrinology of pregnancy: chorionic somatomammotropins and pregnancy-associated glycoproteins: review.
199819
18 196818
19 195718
20 196816

About L. Mester

L. Mester is a scholar working on Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine, Spectroscopy and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 875 indexed citations. Recurring topics across this work include Blood properties and coagulation (8 papers), Receptor Mechanisms and Signaling (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Analytical Chemistry and Chromatography (5 papers), Advanced Glycation End Products research (4 papers), Chemical Synthesis and Analysis (4 papers), Neuropeptides and Animal Physiology (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (147 citations), Organic Chemistry (214 citations), Biochemistry (38 citations), Molecular Biology (327 citations) and Hematology (48 citations). L. Mester has collaborated with scholars based in France, Hungary and India. Frequent co-authors include A. Major, J. Parello, László Szabados, Dóra Reglődi, Krisztina Szabadfi, Andrea Tamás, K. Laki, Krisztina Kovács, Tamás Atlasz and Bóglárka Rácz. Their work appears in journals such as Tetrahedron Letters, Journal of the American Chemical Society, Thrombosis Research, Biochemical Pharmacology and Planta Medica.

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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