Vladimir Vacic

16.0k total citations · 3 hit papers
30 papers, 5.4k citations indexed

About

Vladimir Vacic is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Vladimir Vacic has authored 30 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Vladimir Vacic's work include Protein Structure and Dynamics (11 papers), Genomics and Rare Diseases (7 papers) and Machine Learning in Bioinformatics (7 papers). Vladimir Vacic is often cited by papers focused on Protein Structure and Dynamics (11 papers), Genomics and Rare Diseases (7 papers) and Machine Learning in Bioinformatics (7 papers). Vladimir Vacic collaborates with scholars based in United States, Russia and Israel. Vladimir Vacic's co-authors include Predrag Radivojac, Vladimir N. Uversky, A. Keith Dunker, Lilia M. Iakoucheva, Christopher J. Oldfield, Marc S. Cortese, Amrita Mohan, Stefano Lonardi, Zoran Obradović and Chad Haynes and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Vladimir Vacic

30 papers receiving 5.3k citations

Hit Papers

DisProt: the Database of Disordered Proteins 2006 2026 2012 2019 2006 2006 2008 200 400 600

Peers

Vladimir Vacic
Comparison fields: 5 of 146
  • Molecular Biology 4.1k
  • Materials Chemistry 803
  • Oncology 638
  • Genetics 549
  • Cancer Research 504
Replace Bruce A. Johnson with:
Bruce A. Johnson United States
Robin van der Lee Netherlands
Maria A. Martinez‐Yamout United States
Rune Linding Denmark
Ashley M. Buckle Australia
María J. Macias Spain
Raymond Reeves United States
Jimin Pei United States
Robert B. Russell Germany
M.S. Nissen United States
Bruce A. Johnson United States View profile →
Citations per field, relative to Vladimir Vacic
Vladimir Vacic · 1×
Citations per year, relative to Vladimir Vacic
Vladimir Vacic · 1×

Countries citing papers authored by Vladimir Vacic

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Vacic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Vacic

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Vacic. A scholar is included among the top collaborators of Vladimir Vacic 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 Vladimir Vacic. Vladimir Vacic 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
# Work Indexed citations
1 20
2 62
3 77
4 8
5 135
6 327
7 51
8 116
9 86
10 5
11 35
12 459
13 290
14
The unfoldomics decade: an update on intrinsically disordered proteins
13
15 106
16
The unfoldomics decade: an update on intrinsically disordered proteins breakdown →
548
17 346
18
Analysis of Molecular Recognition Features (MoRFs) breakdown →
597
19
DisProt: the Database of Disordered Proteins breakdown →
651
20 185

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026