Veronika Harmat

1.8k citations
76 papers · 1.4k indexed · h-index 22
Topics
Peptidase Inhibition and Analysis (12 papers)Glycosylation and Glycoproteins Research (9 papers)Computational Drug Discovery Methods (9 papers)
Partner nations
HungaryGermanyJapan

In The Last Decade

Veronika Harmat

74 papers receiving 1.4k citations

Peers

Veronika Harmat
Comparison fields: 5 of 103
  • Molecular Biology 631
  • Immunology 430
  • Organic Chemistry 276
  • Hematology 209
  • Oncology 169
Replace David G. Sanford with:
David G. Sanford United States
Stephen Thompson United Kingdom
J.-P. Mornon France
Maria Sunnerhagen Sweden
Chih-Min Kam United States
Richard I. Christopherson Australia
Jolanta Grembecka United States
Frauke Christ Belgium
Laurie E. Grove United States
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Veronika Harmat relative to David G. Sanford United States David G. Sanford's profile →
Citations per field
00.5×1.5×2.2×
David G. Sanford · 1×
Citations per year

Countries citing papers authored by Veronika Harmat

Since Specialization
Citations

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

Fields of papers citing papers by Veronika Harmat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronika Harmat

This figure shows the co-authorship network connecting the top 25 collaborators of Veronika Harmat. A scholar is included among the top collaborators of Veronika Harmat 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 Veronika Harmat. Veronika Harmat 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 0
2 13
3 4
4 1
5 1
6 20
7 8
8 7
9 57
10 17
11 23
12 55
13 16
14
Theoretical Aspects of Molecular Recognition
4
15 100
16 33
17 42
18 20
19 82
20 35

About Veronika Harmat

Veronika Harmat is a scholar working on Organic Chemistry, Inorganic Chemistry and Oncology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (12 papers), Glycosylation and Glycoproteins Research (9 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Immunology (430 citations), Hematology (209 citations) and Genetics (152 citations). Veronika Harmat has collaborated with scholars based in Hungary, Germany and Japan. Frequent co-authors include Péter Závodszky, Péter Gál, Gábor Náray‐Szabó, József Dobó, László Beinrohr, Beáta G. Vértessy, Zsolt Böcskei, Edina Gyukity-Sebestyén, Krisztián Fodor and Gábor Pál. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

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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