Filip Cvetkovski

479 total citations
8 papers, 332 citations indexed

About

Filip Cvetkovski is a scholar working on Immunology, Transplantation and Surgery. According to data from OpenAlex, Filip Cvetkovski has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Transplantation and 1 paper in Surgery. Recurrent topics in Filip Cvetkovski's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Filip Cvetkovski is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Filip Cvetkovski collaborates with scholars based in Sweden, United States and United Kingdom. Filip Cvetkovski's co-authors include Erik Berglund, Donna L. Färber, Felix Sellberg, David Berglund, Christian Binder, Stefan Berg, Rebecca Guyer, Kyra D. Zens, Michelle Miron and David H. Sachs and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Filip Cvetkovski

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Filip Cvetkovski Sweden	7	228	52	50	48	44	8	332
Mark Vander Lugt United States	6	171 0.8×	51 1.0×	60 1.2×	28 0.6×	14 0.3×	14	380
Charline Vauchy France	10	177 0.8×	83 1.6×	101 2.0×	61 1.3×	24 0.5×	18	331
Yvelise Barrios Spain	11	166 0.7×	80 1.5×	39 0.8×	32 0.7×	26 0.6×	44	362
Søren Lykke Petersen Denmark	9	146 0.6×	37 0.7×	65 1.3×	45 0.9×	16 0.4×	33	305
Karin Hock Austria	12	173 0.8×	41 0.8×	54 1.1×	38 0.8×	26 0.6×	22	360
Sharat Chandra United States	11	175 0.8×	31 0.6×	39 0.8×	44 0.9×	22 0.5×	37	343
Amit Kumar Singh India	10	167 0.7×	60 1.2×	31 0.6×	51 1.1×	28 0.6×	15	338
Jeremy Pantin United States	11	101 0.4×	53 1.0×	77 1.5×	17 0.4×	19 0.4×	48	350
Alexandre Nouël France	7	235 1.0×	32 0.6×	49 1.0×	31 0.6×	14 0.3×	7	314
Elham Ashouri Iran	13	376 1.6×	39 0.8×	40 0.8×	38 0.8×	9 0.2×	23	507

Countries citing papers authored by Filip Cvetkovski

Since Specialization

Citations

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

Fields of papers citing papers by Filip Cvetkovski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Cvetkovski

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

All Works

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8 of 8 papers shown

1.

Cvetkovski, Filip, et al.. (2023). Siplizumab combination therapy with belatacept or abatacept broadly inhibits human T cell alloreactivity in vitro. American Journal of Transplantation. 23(10). 1603–1611. 7 indexed citations

2.

Cao, Xiaofang, AnnSofi Sandberg, J.E. Araújo, et al.. (2021). Evaluation of Spin Columns for Human Plasma Depletion to Facilitate MS-Based Proteomics Analysis of Plasma. Journal of Proteome Research. 20(9). 4610–4620. 26 indexed citations

3.

Cvetkovski, Filip, J. Mark Hexham, & Erik Berglund. (2021). Strategies for Liver Transplantation Tolerance. International Journal of Molecular Sciences. 22(5). 2253–2253. 17 indexed citations

4.

Binder, Christian, Felix Sellberg, Filip Cvetkovski, et al.. (2021). Siplizumab Induces NK Cell Fratricide Through Antibody-Dependent Cell-Mediated Cytotoxicity. Frontiers in Immunology. 12. 599526–599526. 6 indexed citations

5.

Binder, Christian, Felix Sellberg, Filip Cvetkovski, Erik Berglund, & David Berglund. (2020). Siplizumab, an Anti-CD2 Monoclonal Antibody, Induces a Unique Set of Immune Modulatory Effects Compared to Alemtuzumab and Rabbit Anti-Thymocyte Globulin In Vitro. Frontiers in Immunology. 11. 592553–592553. 15 indexed citations

6.

Binder, Christian, Filip Cvetkovski, Felix Sellberg, et al.. (2020). CD2 Immunobiology. Frontiers in Immunology. 11. 1090–1090. 91 indexed citations

7.

Turner, Damian, Monica Goldklang, Filip Cvetkovski, et al.. (2018). Biased Generation and In Situ Activation of Lung Tissue–Resident Memory CD4 T Cells in the Pathogenesis of Allergic Asthma. The Journal of Immunology. 200(5). 1561–1569. 89 indexed citations

8.

Zens, Kyra D., et al.. (2017). Reduced generation of lung tissue–resident memory T cells during infancy. The Journal of Experimental Medicine. 214(10). 2915–2932. 81 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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