Mónika Bálint

481 citations
23 papers · 363 indexed · h-index 12
Topics
Protein Interaction Studies and Fluorescence Analysis (7 papers)Protein Structure and Dynamics (7 papers)Computational Drug Discovery Methods (7 papers)
Partner nations
HungarySwedenGermany

In The Last Decade

Mónika Bálint

23 papers receiving 360 citations

Peers

Mónika Bálint
Comparison fields: 5 of 77
  • Molecular Biology 238
  • Plant Science 99
  • Computational Theory and Mathematics 68
  • Pharmacology 42
  • Organic Chemistry 37
Replace Katerina E. Tsitsanou with:
Katerina E. Tsitsanou Greece
Xingkang Wu China
Bjoern Gruening Germany
James Z. Deng United States
Alberto Ongaro Italy
Michael R. Goldsmith United States
Kelly J. McClure United States
Nicolas Gaboriaud‐Kolar Greece
Kavitha Bharatham South Korea
Qiangwang Fan China
Mónika Bálint relative to Katerina E. Tsitsanou Greece Katerina E. Tsitsanou's profile →
Citations per field
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Katerina E. Tsitsanou · 1×
Citations per year

Countries citing papers authored by Mónika Bálint

Since Specialization
Citations

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

Fields of papers citing papers by Mónika Bálint

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónika Bálint

This figure shows the co-authorship network connecting the top 25 collaborators of Mónika Bálint. A scholar is included among the top collaborators of Mónika Bálint 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 Mónika Bálint. Mónika Bálint 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 4
2 1
3 5
4 11
5 3
6 9
7 9
8 14
9 11
10 3
11 8
12 28
13 29
14 5
15 25
16 46
17 14
18 37
19 29
20 6

About Mónika Bálint

Mónika Bálint is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 23 papers that have together received 363 indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (7 papers), Protein Structure and Dynamics (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Computational Theory and Mathematics (68 citations), Molecular Biology (238 citations) and Pharmacology (27 citations). Mónika Bálint has collaborated with scholars based in Hungary, Sweden and Germany. Frequent co-authors include Csaba Hetényi, Miklós Poór, István Horváth, Sándor Kunsági‐Máté, Beáta Lemli, David van der Spoel, Tamás Kőszegi, Mónika Kuzma, Tímea Bencsik and Violetta Mohos. Their work appears in journals such as Bioinformatics, PLoS ONE and Biochemistry.

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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