Mario Novković

1.9k total citations
24 papers, 1.1k citations indexed

About

Mario Novković is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mario Novković has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Oncology. Recurrent topics in Mario Novković's work include Single-cell and spatial transcriptomics (5 papers), Mathematical Biology Tumor Growth (4 papers) and Gene Regulatory Network Analysis (4 papers). Mario Novković is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Mathematical Biology Tumor Growth (4 papers) and Gene Regulatory Network Analysis (4 papers). Mario Novković collaborates with scholars based in Switzerland, Russia and Germany. Mario Novković's co-authors include Lucas Onder, Burkhard Ludewig, Alessandro Tossi, Davor Juretić, Hung‐Wei Cheng, Viktor Bojović, Elke Scandella, Juraj Simunić, Gennady Bocharov and Natalia Pikor and has published in prestigious journals such as Nature Communications, Immunity and Nature Immunology.

In The Last Decade

Mario Novković

24 papers receiving 1.1k citations

Peers

Mario Novković

IMMUN

ONCOL

MICRO

SURGE

Rebecca J. Ormsby Australia

Connor J. Dwyer United States

Tobias Keßler Germany

Mario M. Müller Germany

James Zhu United States

Jonathan G. Lieber United States

Pierre Juillard Australia

Liat Stoler‐Barak Israel

B. Angermann United States

Petr Jílek Czechia

Rebecca J. Ormsby Australia

Mario Novković

566 ×1.0

IMMUN

305 ×0.7

141 ×0.5

ONCOL

61 ×0.3

MICRO

31 ×0.4

SURGE

Citations per year, relative to Mario Novković Mario Novković (= 1×) peers Rebecca J. Ormsby

Countries citing papers authored by Mario Novković

Since Specialization

Citations

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

Fields of papers citing papers by Mario Novković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Novković

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cheng, Hung‐Wei, Urs Mörbe, Mechthild Lütge, et al.. (2022). Intestinal fibroblastic reticular cell niches control innate lymphoid cell homeostasis and function. Nature Communications. 13(1). 2027–2027. 14 indexed citations

Acton, Sophie E., Lucas Onder, Mario Novković, Víctor G. Martínez, & Burkhard Ludewig. (2021). Communication, construction, and fluid control: lymphoid organ fibroblastic reticular cell and conduit networks. Trends in Immunology. 42(9). 782–794. 54 indexed citations

Pikor, Natalia, Urs Mörbe, Mechthild Lütge, et al.. (2020). Remodeling of light and dark zone follicular dendritic cells governs germinal center responses. Nature Immunology. 21(6). 649–659. 81 indexed citations

Perez‐Shibayama, Christian, Ulrika Islander, Mechthild Lütge, et al.. (2020). Type I interferon signaling in fibroblastic reticular cells prevents exhaustive activation of antiviral CD8 ⁺ T cells. Science Immunology. 5(51). 46 indexed citations

Novković, Mario, Lucas Onder, Gennady Bocharov, & Burkhard Ludewig. (2020). Topological Structure and Robustness of the Lymph Node Conduit System. Cell Reports. 30(3). 893–904.e6. 39 indexed citations

Cheng, Hung‐Wei, Lucas Onder, Mario Novković, et al.. (2019). Origin and differentiation trajectories of fibroblastic reticular cells in the splenic white pulp. Nature Communications. 10(1). 1739–1739. 73 indexed citations

Perez‐Shibayama, Christian, Cristina Gil‐Cruz, Hung‐Wei Cheng, et al.. (2018). Fibroblastic reticular cells initiate immune responses in visceral adipose tissues and secure peritoneal immunity. Science Immunology. 3(26). 43 indexed citations

Novković, Mario, Lucas Onder, Hung‐Wei Cheng, Gennady Bocharov, & Burkhard Ludewig. (2018). Integrative Computational Modeling of the Lymph Node Stromal Cell Landscape. Frontiers in Immunology. 9. 2428–2428. 23 indexed citations

Cheng, Hung‐Wei, Lucas Onder, Jovana Cupovic, et al.. (2018). CCL19-producing fibroblastic stromal cells restrain lung carcinoma growth by promoting local antitumor T-cell responses. Journal of Allergy and Clinical Immunology. 142(4). 1257–1271.e4. 61 indexed citations

10.

Cheng, Hung‐Wei, Lucas Onder, Mario Novković, et al.. (2018). Origin and Differentiation Trajectories of Fibroblastic Reticular Cells in the Splenic White Pulp. SSRN Electronic Journal. 1 indexed citations

11.

Onder, Lucas, Urs Mörbe, Natalia Pikor, et al.. (2017). Lymphatic Endothelial Cells Control Initiation of Lymph Node Organogenesis. Immunity. 47(1). 80–92.e4. 103 indexed citations

12.

Novković, Mario, Lucas Onder, Gennady Bocharov, & Burkhard Ludewig. (2017). Graph Theory-Based Analysis of the Lymph Node Fibroblastic Reticular Cell Network. Methods in molecular biology. 1591. 43–57. 6 indexed citations

13.

Loon, Raoul van, Mario Novković, Lucas Onder, et al.. (2016). Critical Issues in Modelling Lymph Node Physiology. Computation. 5(1). 3–3. 12 indexed citations

14.

Gil‐Cruz, Cristina, Christian Perez‐Shibayama, Lucas Onder, et al.. (2016). Fibroblastic reticular cells regulate intestinal inflammation via IL-15-mediated control of group 1 ILCs. Nature Immunology. 17(12). 1388–1396. 68 indexed citations

15.

Novković, Mario, Lucas Onder, Jovana Cupovic, et al.. (2016). Topological Small-World Organization of the Fibroblastic Reticular Cell Network Determines Lymph Node Functionality. PLoS Biology. 14(7). e1002515–e1002515. 86 indexed citations

16.

Watson, Daniel, Raoul van Loon, Igor Sazonov, et al.. (2016). Data-driven modelling of the FRC network for studying the fluid flow in the conduit system. Engineering Applications of Artificial Intelligence. 62. 341–349. 18 indexed citations

17.

Novković, Mario, Juraj Simunić, Viktor Bojović, Alessandro Tossi, & Davor Juretić. (2013). DADP: the Database of Anuran Defense Peptides. 39. 3 indexed citations

18.

Ilić, Nada, Mario Novković, Filomena Guida, et al.. (2012). Selective antimicrobial activity and mode of action of adepantins, glycine-rich peptide antibiotics based on anuran antimicrobial peptide sequences. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(3). 1004–1012. 72 indexed citations

19.

Novković, Mario, Juraj Simunić, Viktor Bojović, Alessandro Tossi, & Davor Juretić. (2012). DADP: the database of anuran defense peptides. Bioinformatics. 28(10). 1406–1407. 164 indexed citations

20.

Juretić, Davor, Damir Vukičević, Dražen Petrov, et al.. (2011). Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides. European Biophysics Journal. 40(4). 371–385. 46 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