Zlatko Trajanoski

45.9k total citations · 9 hit papers
194 papers, 28.3k citations indexed

About

Zlatko Trajanoski is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Zlatko Trajanoski has authored 194 papers receiving a total of 28.3k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 43 papers in Oncology and 38 papers in Immunology. Recurrent topics in Zlatko Trajanoski's work include Cancer Immunotherapy and Biomarkers (30 papers), Bioinformatics and Genomic Networks (25 papers) and Gene expression and cancer classification (21 papers). Zlatko Trajanoski is often cited by papers focused on Cancer Immunotherapy and Biomarkers (30 papers), Bioinformatics and Genomic Networks (25 papers) and Gene expression and cancer classification (21 papers). Zlatko Trajanoski collaborates with scholars based in Austria, United States and Germany. Zlatko Trajanoski's co-authors include Bernhard Mlecnik, Jérôme Galon, Franck Pagès, Wolf H. Fridman, Amos Kirilovsky, Hubert Hackl, Marie Tosolini, Pornpimol Charoentong, Gabriela Bindea and Anne Berger and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Zlatko Trajanoski

186 papers receiving 27.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

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.

Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome

2006 4.8k citations Jérôme Galon, Anne Costes et al. profile →
ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks

2009 4.6k citations Gabriela Bindea, Bernhard Mlecnik et al. Bioinformatics profile →
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

2017 3.2k citations Pornpimol Charoentong, Francesca Finotello et al. profile →
Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer

2013 2.9k citations Gabriela Bindea, Bernhard Mlecnik et al. profile →
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer

2005 1.6k citations Franck Pagès, Anne Berger et al. profile →
Genesis: cluster analysis of microarray data

2002 1.5k citations Zlatko Trajanoski et al. Bioinformatics profile →
Histopathologic-Based Prognostic Factors of Colorectal Cancers Are Associated With the State of the Local Immune Reaction

2011 765 citations Bernhard Mlecnik, Marie Tosolini et al. profile →
In Situ Cytotoxic and Memory T Cells Predict Outcome in Patients With Early-Stage Colorectal Cancer

2009 724 citations Franck Pagès, Amos Kirilovsky et al. profile →
Impaired Glucose Transport as a Cause of Decreased Insulin-Stimulated Muscle Glycogen Synthesis in Type 2 Diabetes

1999 515 citations Zlatko Trajanoski et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zlatko Trajanoski Austria	53	11.7k	11.0k	9.3k	5.0k	4.7k	194	28.3k
Franck Pagès France	34	14.7k 1.3×	6.9k 0.6×	11.4k 1.2×	3.7k 0.7×	4.0k 0.8×	101	25.1k
Bernhard Mlecnik France	32	11.2k 1.0×	6.4k 0.6×	8.6k 0.9×	3.3k 0.7×	3.3k 0.7×	68	20.9k
Jérôme Galon France	75	22.4k 1.9×	11.3k 1.0×	19.0k 2.0×	5.4k 1.1×	6.0k 1.3×	239	39.6k
Ash A. Alizadeh United States	66	11.0k 0.9×	15.5k 1.4×	10.6k 1.1×	9.5k 1.9×	8.6k 1.8×	251	35.5k
Hong Wang United States	80	6.9k 0.6×	9.9k 0.9×	4.1k 0.4×	3.1k 0.6×	3.4k 0.7×	749	25.2k
Stephen M. Hewitt United States	75	6.4k 0.5×	10.1k 0.9×	3.1k 0.3×	4.0k 0.8×	3.8k 0.8×	400	21.4k
Julian Downward United Kingdom	101	11.4k 1.0×	30.1k 2.7×	5.1k 0.5×	4.9k 1.0×	3.1k 0.7×	292	41.7k
Samir Hanash United States	86	5.7k 0.5×	17.2k 1.6×	4.8k 0.5×	5.2k 1.0×	2.5k 0.5×	472	28.7k
Jian Wang China	79	5.6k 0.5×	14.5k 1.3×	4.4k 0.5×	6.6k 1.3×	3.5k 0.7×	1.1k	28.6k
Amanda G. Paulovich United States	40	7.0k 0.6×	26.0k 2.4×	6.3k 0.7×	8.3k 1.7×	5.6k 1.2×	87	40.1k

Countries citing papers authored by Zlatko Trajanoski

Since Specialization

Citations

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

Fields of papers citing papers by Zlatko Trajanoski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zlatko Trajanoski

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

All Works

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20 of 20 papers shown

Mousa, Mira, Stefan Salcher, Christina Plattner, et al.. (2025). Unveiling the immunomodulatory dance: endothelial cells’ function and their role in non-small cell lung cancer. Molecular Cancer. 24(1). 21–21. 1 indexed citations

Brunner, Edward, Francesco Baschieri, Georgios Fotakis, et al.. (2025). Unraveling the YAP1-TGFβ1 axis: a key driver of androgen receptor loss in prostate cancer-associated fibroblasts. Journal of Experimental & Clinical Cancer Research. 45(1). 11–11. 1 indexed citations

Trebo, Manuel, Isabel Heidegger, Theresa Hautz, et al.. (2024). Profiling low-mRNA content cells in complex human tissues using BD Rhapsody single-cell analysis. STAR Protocols. 5(4). 103475–103475. 2 indexed citations

Heidegger, Isabel, Stefan Salcher, Piotr Tymoszuk, et al.. (2024). Prediction of Clinically Significant Prostate Cancer by a Specific Collagen-related Transcriptome, Proteome, and Urinome Signature. European Urology Oncology. 8(3). 652–662. 9 indexed citations

García‐Mulero, Sandra, Marco Punta, Stefano Lise, et al.. (2023). Driver mutations in GNAQ and GNA11 genes as potential targets for precision immunotherapy in uveal melanoma patients. OncoImmunology. 12(1). 2261278–2261278. 5 indexed citations

Stolzer, Iris, Susanne M. Krug, Elisabeth Naschberger, et al.. (2023). Proteolytic Activity of the Paracaspase MALT1 Is Involved in Epithelial Restitution and Mucosal Healing. International Journal of Molecular Sciences. 24(8). 7402–7402. 5 indexed citations

Rieder, Dietmar & Zlatko Trajanoski. (2023). Checking immunotoxicity risks of checkpoint blockade. Nature Cancer. 4(6). 779–780. 2 indexed citations

Baruzzo, Giacomo, Piergiorgio Alotto, Noel F.C.C. de Miranda, et al.. (2022). MAST: a hybrid Multi-Agent Spatio-Temporal model of tumor microenvironment informed using a data-driven approach. Bioinformatics Advances. 2(1). vbac092–vbac092. 6 indexed citations

Sturm, Gregor, Tamás Szabó, Georgios Fotakis, et al.. (2020). Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data. Bioinformatics. 36(18). 4817–4818. 92 indexed citations

10.

Kortekaas, Kim E., Saskia J. Santegoets, Gregor Sturm, et al.. (2020). CD39 Identifies the CD4+ Tumor-Specific T-cell Population in Human Cancer. Cancer Immunology Research. 8(10). 1311–1321. 91 indexed citations

11.

Cimino‐Mathews, Ashley, Yoni Lubeck, Mark Opdam, et al.. (2020). Tumour-infiltrating lymphocytes (TILs) and BRCA-like status in stage III breast cancer patients randomised to adjuvant intensified platinum-based chemotherapy versus conventional chemotherapy. European Journal of Cancer. 127. 240–250. 18 indexed citations

12.

Yamazaki, Takahiro, Alexander Kirchmair, Ai Sato, et al.. (2020). Mitochondrial DNA drives abscopal responses to radiation that are inhibited by autophagy. Nature Immunology. 21(10). 1160–1171. 234 indexed citations

13.

Hammerl, Dora, Dietmar Rieder, John W.M. Martens, Zlatko Trajanoski, & Reno Debets. (2018). Adoptive T Cell Therapy: New Avenues Leading to Safe Targets and Powerful Allies. Trends in Immunology. 39(11). 921–936. 34 indexed citations

14.

Welters, Marij J.P., Wenbo Ma, Saskia J. Santegoets, et al.. (2017). Intratumoral HPV16-Specific T Cells Constitute a Type I–Oriented Tumor Microenvironment to Improve Survival in HPV16-Driven Oropharyngeal Cancer. Clinical Cancer Research. 24(3). 634–647. 122 indexed citations

15.

Willi, Michaela, et al.. (2016). Impact of the Chromatin Remodeling Factor CHD1 on Gut Microbiome Composition of Drosophila melanogaster. PLoS ONE. 11(4). e0153476–e0153476. 11 indexed citations

16.

Angelova, Mihaela, Pornpimol Charoentong, Hubert Hackl, et al.. (2015). Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy. Genome Biology. 16(1). 64–64. 387 indexed citations

17.

Hofer, Edith, Gerhard Laschober, Matthias Hackl, et al.. (2011). GiSAO.db: a database for ageing research. BMC Genomics. 12(1). 262–262. 2 indexed citations

18.

Ubaida‐Mohien, Ceereena, Jürgen Hartler, Florian P. Breitwieser, et al.. (2010). MASPECTRAS 2: An integration and analysis platform for proteomic data. PROTEOMICS. 10(14). 2719–2722. 18 indexed citations

19.

Camus, Matthieu, Marie Tosolini, Bernhard Mlecnik, et al.. (2009). Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence. Cancer Research. 69(6). 2685–2693. 226 indexed citations

20.

Ellmerer, Martin, L. Schaupp, Gerald Sendlhofer, et al.. (1998). Lactate Metabolism of Subcutaneous Adipose Tissue Studied by Open Flow Microperfusion. The Journal of Clinical Endocrinology & Metabolism. 83(12). 4394–4401. 27 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.

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