Lajos Kalmár

3.8k citations
70 papers · 2.3k indexed · 1 hit paper · h-index 25
Topics
RNA and protein synthesis mechanisms (10 papers)Protein Structure and Dynamics (9 papers)Enzyme Structure and Function (7 papers)

In The Last Decade

Lajos Kalmár

67 papers receiving 2.2k citations

Hit Papers

N1-methylpseudouridylation of mRNA causes +1 ribosomal fr...20232026202420252023255075100

Peers

Lajos Kalmár
Comparison fields: 5 of 141
  • Molecular Biology 1.1k
  • Genetics 362
  • Ecology 228
  • Pulmonary and Respiratory Medicine 185
  • Genetics 173
Replace Makoto Asano with:
Makoto Asano Japan
Kim Summers Australia
Richard J. Blandau United States
Robert B. Reeves United States
Gary D. Smith United States
Marna E. Ericson United States
Inés Carrera United Kingdom
C.F. Johnston United Kingdom
Donald W. Bailey United States
Olivier Lepage France
Lajos Kalmár relative to Makoto Asano Japan Makoto Asano's profile →
Citations per field
00.5×3.5×
Makoto Asano · 1×
Citations per year

Countries citing papers authored by Lajos Kalmár

Since Specialization
Citations

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

Fields of papers citing papers by Lajos Kalmár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lajos Kalmár

This figure shows the co-authorship network connecting the top 25 collaborators of Lajos Kalmár. A scholar is included among the top collaborators of Lajos Kalmár based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lajos Kalmár. Lajos Kalmár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 5
4 4
5 12
6 3
7 12
8
N1-methylpseudouridylation of mRNA causes +1 ribosomal frameshiftingbreakdown →
116
9 4
10 17
11 37
12 25
13 7
14 98
15 7
16 28
17 42
18 18
19 82
20 15

About Lajos Kalmár

Lajos Kalmár is a scholar working on Equine, Endocrine and Autonomic Systems and Molecular Biology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Protein Structure and Dynamics (9 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (115 citations), Endocrine and Autonomic Systems (133 citations) and Equine (28 citations). Lajos Kalmár has collaborated with scholars based in Hungary, United Kingdom and Belgium. Frequent co-authors include Péter Tompa, David R. Sargan, Jane Ladlow, Éva Schád, Ágnes Tantos, Márton Horváth, Kyou‐Hoon Han, Vicki J. Adams, Nai‐Chieh Liu and Attila Tordai. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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