Laszlo Groh

3.6k total citations
32 papers, 807 citations indexed

About

Laszlo Groh is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Laszlo Groh has authored 32 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Laszlo Groh's work include Immune responses and vaccinations (17 papers), Immune cells in cancer (8 papers) and COVID-19 Impact on Reproduction (6 papers). Laszlo Groh is often cited by papers focused on Immune responses and vaccinations (17 papers), Immune cells in cancer (8 papers) and COVID-19 Impact on Reproduction (6 papers). Laszlo Groh collaborates with scholars based in Netherlands, Germany and Romania. Laszlo Groh's co-authors include Mihai G. Netea, Niels P. Riksen, Leo A. B. Joosten, Samuel T. Keating, Charlotte D.C.C. van der Heijden, Alexander Hoischen, Anaísa V. Ferreira, Marlies P. Noz, Simone Kersten and Antonius E. van Herwaarden and has published in prestigious journals such as Nature Genetics, Circulation Research and The FASEB Journal.

In The Last Decade

Laszlo Groh

29 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laszlo Groh Netherlands 14 497 218 130 117 108 32 807
Anne Jan van der Meer Netherlands 10 356 0.7× 267 1.2× 49 0.4× 240 2.1× 50 0.5× 12 795
Marie Villumsen Denmark 10 259 0.5× 126 0.6× 74 0.6× 112 1.0× 183 1.7× 19 687
Jorge Hernández‐Bello Mexico 14 188 0.4× 126 0.6× 249 1.9× 43 0.4× 53 0.5× 65 641
Zeineb Zian Morocco 10 211 0.4× 145 0.7× 158 1.2× 67 0.6× 49 0.5× 21 651
Hannes Hudalla Germany 15 240 0.5× 126 0.6× 30 0.2× 77 0.7× 29 0.3× 32 569
Charu Rajput United States 19 300 0.6× 151 0.7× 62 0.5× 156 1.3× 48 0.4× 29 710
Fahad Al-Ghimlas Kuwait 12 162 0.3× 202 0.9× 147 1.1× 211 1.8× 56 0.5× 21 757
Furong Qi China 9 185 0.4× 203 0.9× 672 5.2× 125 1.1× 48 0.4× 23 964
Radu A. Popp Romania 12 126 0.3× 265 1.2× 40 0.3× 65 0.6× 102 0.9× 64 701
Qiao Shi China 16 186 0.4× 213 1.0× 269 2.1× 88 0.8× 140 1.3× 53 950

Countries citing papers authored by Laszlo Groh

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Groh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laszlo Groh

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

All Works

20 of 20 papers shown
1.
Helder, Leonie, Laszlo Groh, Vasiliki Matzaraki, et al.. (2025). Bacillus Calmette–Guérin-induced trained immunity potentiates TH17 responses in vitro. Journal of Leukocyte Biology. 117(9).
2.
Röring, Rutger J., Laszlo Groh, Vasiliki Matzaraki, et al.. (2024). Interleukin-10 inhibits important components of trained immunity in human monocytes. Journal of Leukocyte Biology. 117(3). 7 indexed citations
3.
Santos, Jéssica Cristina dos, María Moreno, Samuel T. Keating, et al.. (2024). Leishmania braziliensis enhances monocyte responses to promote anti-tumor activity. Cell Reports. 43(3). 113932–113932. 9 indexed citations
4.
6.
Groh, Laszlo, Hugo Ten Cate, Henri M.H. Spronk, et al.. (2023). Vascular Function, Systemic Inflammation, and Coagulation Activation 18 Months after COVID-19 Infection: An Observational Cohort Study. Journal of Clinical Medicine. 12(4). 1413–1413. 9 indexed citations
7.
Wang, Cheng, Freek Manders, Laszlo Groh, Roel Oldenkamp, & Colin Logie. (2023). Corticosteroid‐induced chromatin loop dynamics at the FKBP5 gene. Annals of the New York Academy of Sciences. 1529(1). 109–119.
8.
Nagy, Magdolna, Hugo Ten Cate, Henri M.H. Spronk, et al.. (2023). Biomarkers of sustained systemic inflammation and microvascular dysfunction associated with post-COVID-19 condition symptoms at 24 months after SARS-CoV-2-infection. Frontiers in Immunology. 14. 1182182–1182182. 10 indexed citations
9.
Fok, Ezio T., Simone J.C.F.M. Moorlag, Y. Negishi, et al.. (2023). A chromatin-regulated biphasic circuit coordinates IL-1β-mediated inflammation. Nature Genetics. 56(1). 85–99. 17 indexed citations
10.
Einer, Claudia, Felix Distelmaier, Laszlo Groh, et al.. (2022). The decylTPP mitochondria-targeting moiety lowers electron transport chain supercomplex levels in primary human skin fibroblasts. Free Radical Biology and Medicine. 188. 434–446. 10 indexed citations
11.
Goede, Kyra E. de, Sanne G. S. Verberk, Laszlo Groh, et al.. (2022). d-2-Hydroxyglutarate is an anti-inflammatory immunometabolite that accumulates in macrophages after TLR4 activation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(9). 166427–166427. 27 indexed citations
12.
Nagy, Magdolna, Hugo Ten Cate, Henri M.H. Spronk, et al.. (2021). ChAdOx1 vaccination, blood coagulation, and inflammation: No effect on coagulation but increased interleukin‐6. Research and Practice in Thrombosis and Haemostasis. 5(8). e12630–e12630. 10 indexed citations
13.
Mourits, Vera P., Jelmer H. van Puffelen, Boris Novakovic, et al.. (2021). Lysine methyltransferase G9a is an important modulator of trained immunity. Clinical & Translational Immunology. 10(2). e1253–e1253. 30 indexed citations
14.
Nagy, Magdolna, Hugo Ten Cate, Henri M.H. Spronk, et al.. (2021). Sustained inflammation, coagulation activation and elevated endothelin-1 levels without macrovascular dysfunction at 3 months after COVID-19. Thrombosis Research. 209. 106–114. 53 indexed citations
15.
Mourits, Vera P., Leonie Helder, Vasiliki Matzaraki, et al.. (2021). The role of sirtuin 1 on the induction of trained immunity. Cellular Immunology. 366. 104393–104393. 13 indexed citations
16.
Bruno, Mariolina, Vasiliki Matzaraki, Rob ter Horst, et al.. (2020). Comparative host transcriptome in response to pathogenic fungi identifies common and species-specific transcriptional antifungal host response pathways. Computational and Structural Biotechnology Journal. 19. 647–663. 18 indexed citations
17.
Heijden, Charlotte D.C.C. van der, Samuel T. Keating, Laszlo Groh, et al.. (2019). Aldosterone induces trained immunity: the role of fatty acid synthesis. Cardiovascular Research. 116(2). 317–328. 84 indexed citations
18.
Groh, Laszlo, Samuel T. Keating, Leo A. B. Joosten, Mihai G. Netea, & Niels P. Riksen. (2017). Monocyte and macrophage immunometabolism in atherosclerosis. Seminars in Immunopathology. 40(2). 203–214. 168 indexed citations
19.
Ahout, Inge M. L., Christa E. van der Gaast‐de Jongh, Laszlo Groh, et al.. (2016). High pneumococcal density correlates with more mucosal inflammation and reduced respiratory syncytial virus disease severity in infants. BMC Infectious Diseases. 16(1). 129–129. 13 indexed citations
20.
Cremers, Amelieke J. H., et al.. (2014). The role of ZmpC in the clinical manifestation of invasive pneumococcal disease. International Journal of Medical Microbiology. 304(8). 984–989. 9 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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