Mirjana Efremova
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 5
- Immunology top 1%
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 6
- Cancer Cells and Metastasis 3
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 9
- Gene Regulatory Network Analysis 2
- Co-authors
- Sarah A. TeichmannZlatko TrajanoskiRoser Vento‐TormoDietmar RiederFrancesca FinotelloHubert HacklPornpimol CharoentongMihaela Angelova
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Mirjana Efremova
19 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 1.7k
- Immunology 2.1k
- Oncology 2.3k
- Pulmonary and Respiratory Medicine 1.9k
- Molecular Biology 3.4k
Countries citing papers authored by Mirjana Efremova
This map shows the geographic impact of Mirjana Efremova'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 Mirjana Efremova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirjana Efremova more than expected).
Fields of papers citing papers by Mirjana Efremova
This network shows the impact of papers produced by Mirjana Efremova. 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 Mirjana Efremova. The network helps show where Mirjana Efremova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mirjana Efremova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 44 | |
| 8 | 2020 | 80 | |
| 9 | 2020 | 124 | |
| 10 | CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexesbreakdown → | 2020 | 1792 |
| 11 | 2020 | 205 | |
| 12 | 2020 | 51 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 52 | |
| 15 | 2017 | 188 | |
| 16 | 2017 | 151 | |
| 17 | Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockadebreakdown → | 2017 | 3188 |
| 18 | 2013 | 394 | |
| 19 | 2013 | 15 | |
| 20 | 2012 | 36 |
About Mirjana Efremova
Mirjana Efremova is a scholar working on Immunology, Biophysics and Cancer Research, having authored 21 papers that have together received 6.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (5 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Cells and Metastasis (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Cancer Research (1.7k citations), Immunology (2.1k citations) and Oncology (2.3k citations). Mirjana Efremova has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Sarah A. Teichmann, Zlatko Trajanoski, Roser Vento‐Tormo, Dietmar Rieder, Francesca Finotello, Hubert Hackl, Pornpimol Charoentong, Mihaela Angelova, Clemens Mayer and Stephan Pabinger.
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.