Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
201811.7k citationsDamian Szklarczyk, Annika L. Gable et al.Nucleic Acids Researchprofile →
STRING v10: protein–protein interaction networks, integrated over the tree of life
20147.8k citationsDamian Szklarczyk, Andrea Franceschini et al.Nucleic Acids Researchprofile →
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
20165.2k citationsDamian Szklarczyk, John H. Morris et al.Nucleic Acids Researchprofile →
STRING v9.1: protein-protein interaction networks, with increased coverage and integration
20123.5k citationsAndrea Franceschini, Damian Szklarczyk et al.Nucleic Acids Researchprofile →
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
20102.8k citationsDamian Szklarczyk, Andrea Franceschini et al.Nucleic Acids Researchprofile →
STRING 8--a global view on proteins and their functional interactions in 630 organisms
20081.9k citationsLars Juhl Jensen, Michael Kuhn et al.Nucleic Acids Researchprofile →
Version 4.0 of PaxDb: Protein abundance data, integrated across model organisms, tissues, and cell‐lines
2015384 citationsMingcong Wang, Christina Herrmann et al.PROTEOMICSprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Milan Simonovic
Since
Specialization
Citations
This map shows the geographic impact of Milan Simonovic'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 Milan Simonovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Simonovic more than expected).
This network shows the impact of papers produced by Milan Simonovic. 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 Milan Simonovic. The network helps show where Milan Simonovic may publish in the future.
Co-authorship network of co-authors of Milan Simonovic
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Simonovic.
A scholar is included among the top collaborators of Milan Simonovic 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 Milan Simonovic. Milan Simonovic is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Szklarczyk, Damian, Annika L. Gable, David Lyon, et al.. (2018). STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research. 47(D1). D607–D613.11663 indexed citations breakdown →
3.
Szklarczyk, Damian, John H. Morris, Helen Cook, et al.. (2016). The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible. Nucleic Acids Research. 45(D1). D362–D368.5222 indexed citations breakdown →
4.
Wang, Mingcong, Christina Herrmann, Milan Simonovic, Damian Szklarczyk, & Christian von Mering. (2015). Version 4.0 of PaxDb: Protein abundance data, integrated across model organisms, tissues, and cell‐lines. PROTEOMICS. 15(18). 3163–3168.384 indexed citations breakdown →
5.
Szklarczyk, Damian, Andrea Franceschini, Stefan Wyder, et al.. (2014). STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Research. 43(D1). D447–D452.7783 indexed citations breakdown →
6.
Böck, August, Martin Thanbichler, Michael Rother, et al.. (2013). Drosophila H1 Regulates the Genetic Activity of Heterochromatin by Recruitment of Su(var)3-9.3 indexed citations
Franceschini, Andrea, Damian Szklarczyk, Sune Pletscher-Frankild, et al.. (2012). STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Research. 41(D1). D808–D815.3505 indexed citations breakdown →
9.
Szklarczyk, Damian, Andrea Franceschini, Michael Kuhn, et al.. (2010). The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Research. 39(Database). D561–D568.2796 indexed citations breakdown →
10.
Jensen, Lars Juhl, Michael Kuhn, Mitchell Stark, et al.. (2008). STRING 8--a global view on proteins and their functional interactions in 630 organisms. Nucleic Acids Research. 37(Database). D412–D416.1950 indexed citations breakdown →
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.