Tonći Šuštić

972 total citations
9 papers, 255 citations indexed

About

Tonći Šuštić is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Tonći Šuštić has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Tonći Šuštić's work include Fibroblast Growth Factor Research (2 papers), Melanoma and MAPK Pathways (2 papers) and Alcohol Consumption and Health Effects (1 paper). Tonći Šuštić is often cited by papers focused on Fibroblast Growth Factor Research (2 papers), Melanoma and MAPK Pathways (2 papers) and Alcohol Consumption and Health Effects (1 paper). Tonći Šuštić collaborates with scholars based in Netherlands, United Kingdom and United States. Tonći Šuštić's co-authors include René Bernards, Lodewyk F.A. Wessels, Evert Bosdriesz, Sake van Wageningen, Roderick L. Beijersbergen, Cor Lieftink, Daniël J. Vis, Michel M. van den Heuvel, Michiel S. van der Heijden and Carlos Caldas and has published in prestigious journals such as The Journal of Infectious Diseases, European Urology and eLife.

In The Last Decade

Tonći Šuštić

9 papers receiving 252 citations

Peers

Tonći Šuštić

MB

ONCOL

PRM

CR

SURGE

Amanda J. Loch Canada

Yizhi Xiao China

Stefanie Schrauwen Belgium

Léa Meunier France

Jun Won Park South Korea

Jianjiao Lin China

Masataka Shimonosono Japan

Wenji Yan China

Yaozhen Pan China

Hong-Jae Jo South Korea

Amanda J. Loch Canada

Tonći Šuštić

135 ×0.7

MB

89 ×1.2

ONCOL

63 ×1.2

PRM

44 ×0.8

CR

33 ×0.7

SURGE

Citations per year, relative to Tonći Šuštić Tonći Šuštić (= 1×) peers Amanda J. Loch

Countries citing papers authored by Tonći Šuštić

Since Specialization

Citations

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

Fields of papers citing papers by Tonći Šuštić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonći Šuštić

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

All Works

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9 of 9 papers shown

1.

Mayne, Richard, Lise J Estcourt, Jussi Hepojoki, et al.. (2025). Individual patient and donor seroprofiles in convalescent plasma treatment of COVID-19 in REMAP-CAP clinical trial. Journal of Infection. 90(2). 106412–106412. 1 indexed citations

2.

Lopez-Perez, Mary, Firmine Viwami, Tonći Šuštić, et al.. (2024). Fc-Afucosylation of VAR2CSA-Specific Immunoglobulin G and Clinical Immunity to Placental Plasmodium falciparum Malaria. The Journal of Infectious Diseases. 231(5). e956–e965. 2 indexed citations

3.

Vis, Daniël J., Suzan Stelloo, Cor Lieftink, et al.. (2019). TLE3 loss confers AR inhibitor resistance by facilitating GR-mediated human prostate cancer cell growth. eLife. 8. 25 indexed citations

4.

Šuštić, Tonći, Evert Bosdriesz, Sake van Wageningen, Lodewyk F.A. Wessels, & René Bernards. (2019). RUNX2/CBFB modulates the response to MEK inhibitors through activation of receptor tyrosine kinases in KRAS-mutant colorectal cancer. Translational Oncology. 13(2). 201–211. 10 indexed citations

5.

Šuštić, Tonći, Sake van Wageningen, Evert Bosdriesz, et al.. (2018). A role for the unfolded protein response stress sensor ERN1 in regulating the response to MEK inhibitors in KRAS mutant colon cancers. Genome Medicine. 10(1). 24–24. 32 indexed citations

6.

Zheng, Xue, Daniël J. Vis, Alejandra Bruna, et al.. (2018). MAP3K1 and MAP2K4 mutations are associated with sensitivity to MEK inhibitors in multiple cancer models. Cell Research. 28(7). 719–729. 81 indexed citations

7.

Wang, Liqin, Tonći Šuštić, Rodrigo Leite de Oliveira, et al.. (2017). A Functional Genetic Screen Identifies the Phosphoinositide 3-kinase Pathway as a Determinant of Resistance to Fibroblast Growth Factor Receptor Inhibitors in FGFR Mutant Urothelial Cell Carcinoma. European Urology. 71(6). 858–862. 63 indexed citations

8.

Theelen, Willemijn S.M.E., Lorenza Mittempergher, Stefan M. Willems, et al.. (2016). FGFR1, 2 and 3 protein overexpression and molecular aberrations of FGFR3 in early stage non‐small cell lung cancer. The Journal of Pathology Clinical Research. 2(4). 223–233. 33 indexed citations

9.

Selig, Martin K., et al.. (2008). Induction of Apoptosis and Necrosis in Human Peripheral Blood Mononuclear Cells by Fatty Acid Ethyl Esters. Alcoholism Clinical and Experimental Research. 32(3). 534–543. 8 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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