Milena Pavlović

847 total citations
13 papers, 275 citations indexed

About

Milena Pavlović is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Milena Pavlović has authored 13 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Milena Pavlović's work include Monoclonal and Polyclonal Antibodies Research (6 papers), vaccines and immunoinformatics approaches (5 papers) and T-cell and B-cell Immunology (5 papers). Milena Pavlović is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), vaccines and immunoinformatics approaches (5 papers) and T-cell and B-cell Immunology (5 papers). Milena Pavlović collaborates with scholars based in Norway, United States and Switzerland. Milena Pavlović's co-authors include Geir Kjetil Sandve, Victor Greiff, Rahmad Akbar, Igor Snapkov, Cédric R. Weber, Lonneke Scheffer, Andrei Slabodkin, Philippe A. Robert, Ingrid Hobæk Haff and Enkelejda Miho and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Research.

In The Last Decade

Milena Pavlović

10 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milena Pavlović Norway 8 189 145 114 16 15 13 275
Varun R. Shanker United States 4 216 1.1× 102 0.7× 34 0.3× 21 1.3× 14 0.9× 5 285
Veronica Juan United States 8 286 1.5× 163 1.1× 63 0.6× 29 1.8× 13 0.9× 9 359
Brennan Abanades United Kingdom 6 262 1.4× 254 1.8× 74 0.6× 23 1.4× 14 0.9× 9 349
Simon M. Meng Switzerland 3 193 1.0× 154 1.1× 57 0.5× 37 2.3× 28 1.9× 3 247
Wei‐Li Ling Singapore 9 158 0.8× 166 1.1× 82 0.7× 20 1.3× 20 1.3× 16 243
L. Mitchell United Kingdom 5 302 1.6× 288 2.0× 65 0.6× 27 1.7× 14 0.9× 15 390
Maria Chernigovskaya Norway 6 112 0.6× 79 0.5× 81 0.7× 11 0.7× 7 0.5× 17 167
Wai‐Heng Lua Singapore 10 162 0.9× 182 1.3× 83 0.7× 38 2.4× 18 1.2× 14 257
Fergus Boyles United Kingdom 6 328 1.7× 228 1.6× 74 0.6× 16 1.0× 17 1.1× 7 426
Nishanth Marthandan United States 7 271 1.4× 126 0.9× 204 1.8× 42 2.6× 10 0.7× 11 402

Countries citing papers authored by Milena Pavlović

Since Specialization
Citations

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

Fields of papers citing papers by Milena Pavlović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Pavlović

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Pavlović. A scholar is included among the top collaborators of Milena Pavlović 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 Milena Pavlović. Milena Pavlović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chernigovskaya, Maria, Milena Pavlović, Chakravarthi Kanduri, et al.. (2025). Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning. Nucleic Acids Research. 53(3).
2.
Pavlović, Milena, Chakravarthi Kanduri, Johan Pensar, et al.. (2024). Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. Nature Machine Intelligence. 6(1). 15–24. 10 indexed citations
3.
Scheffer, Lonneke, Brij Bhushan Mehta, Milena Pavlović, et al.. (2024). Predictability of antigen binding based on short motifs in the antibody CDRH3. Briefings in Bioinformatics. 25(6).
4.
Nyberg, Fredrik, Huiqi Li, Hedvig Nordeng, et al.. (2023). Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review. Frontiers in Public Health. 11. 1183725–1183725. 14 indexed citations
5.
Zhao, Jing, Huiqi Li, Hedvig Nordeng, et al.. (2023). Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study. Frontiers in Public Health. 11. 1258840–1258840. 3 indexed citations
6.
Kanduri, Chakravarthi, Lonneke Scheffer, Milena Pavlović, et al.. (2022). simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods. GigaScience. 12. 4 indexed citations
7.
Kanduri, Chakravarthi, Milena Pavlović, Lonneke Scheffer, et al.. (2022). Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification. GigaScience. 11. 14 indexed citations
8.
Akbar, Rahmad, Philippe A. Robert, Cédric R. Weber, et al.. (2022). In silico proof of principle of machine learning-based antibody design at unconstrained scale. mAbs. 14(1). 2031482–2031482. 50 indexed citations
9.
Akbar, Rahmad, Philippe A. Robert, Milena Pavlović, et al.. (2021). A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding. Cell Reports. 34(11). 108856–108856. 106 indexed citations
10.
Slabodkin, Andrei, Maria Chernigovskaya, Rahmad Akbar, et al.. (2021). Individualized VDJ recombination predisposes the available Ig sequence space. Genome Research. 31(12). 2209–2224. 25 indexed citations
11.
Pavlović, Milena, et al.. (2021). uio-bmi/immuneML: v2.0.2. Zenodo (CERN European Organization for Nuclear Research).
12.
Weber, Cédric R., Rahmad Akbar, Alexander Yermanos, et al.. (2020). immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking. Bioinformatics. 36(11). 3594–3596. 39 indexed citations
13.
Neumann, Ralf S., Milena Pavlović, Gabriel Balaban, et al.. (2020). T cell receptor repertoire as a potential diagnostic marker for celiac disease. Clinical Immunology. 222. 108621–108621. 10 indexed citations

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

Breakdown of academic impact, for papers by Varun R. Shanker Breakdown of academic impact, for papers by Veronica Juan Breakdown of academic impact, for papers by Brennan Abanades Breakdown of academic impact, for papers by Simon M. Meng Breakdown of academic impact, for papers by Wei‐Li Ling Breakdown of academic impact, for papers by L. Mitchell Breakdown of academic impact, for papers by Maria Chernigovskaya Breakdown of academic impact, for papers by Wai‐Heng Lua Breakdown of academic impact, for papers by Fergus Boyles Breakdown of academic impact, for papers by Nishanth Marthandan
Rankless by CCL
2026