Gianni Panagiotou

6.7k total citations · 2 hit papers
134 papers, 4.4k citations indexed

About

Gianni Panagiotou is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Gianni Panagiotou has authored 134 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 20 papers in Epidemiology and 20 papers in Biomedical Engineering. Recurrent topics in Gianni Panagiotou's work include Gut microbiota and health (41 papers), Microbial Metabolic Engineering and Bioproduction (25 papers) and Biofuel production and bioconversion (20 papers). Gianni Panagiotou is often cited by papers focused on Gut microbiota and health (41 papers), Microbial Metabolic Engineering and Bioproduction (25 papers) and Biofuel production and bioconversion (20 papers). Gianni Panagiotou collaborates with scholars based in Germany, Hong Kong and Denmark. Gianni Panagiotou's co-authors include Lisbeth Olsson, Yueqiong Ni, Jun Li, Paul Christakopoulos, Jens Nielsen, Irene Kouskoumvekaki, Hani El‐Nezami, Jussi Pihlajamäki, Nikki Lee and Aimin Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Gianni Panagiotou

128 papers receiving 4.3k citations

Hit Papers

Probiotics modulated gut microbiota suppresses hepatocell... 2016 2026 2019 2022 2016 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianni Panagiotou Germany 37 2.8k 795 627 568 554 134 4.4k
Dylan Dodd United States 27 2.7k 1.0× 747 0.9× 678 1.1× 188 0.3× 461 0.8× 43 3.9k
Pallavi Subhraveti United States 10 4.3k 1.6× 669 0.8× 328 0.5× 253 0.4× 311 0.6× 12 5.8k
Sang Woo Kim South Korea 44 2.6k 1.0× 377 0.5× 718 1.1× 876 1.5× 299 0.5× 258 7.4k
Anamika Kothari United States 12 4.4k 1.6× 668 0.8× 324 0.5× 254 0.4× 318 0.6× 16 5.8k
Ingrid M. Keseler United States 22 5.9k 2.1× 896 1.1× 339 0.5× 281 0.5× 350 0.6× 28 7.6k
Robert T. DeBoy United States 16 3.5k 1.3× 252 0.3× 701 1.1× 354 0.6× 616 1.1× 17 4.9k
Kiran Raosaheb Patil Germany 43 6.3k 2.3× 1.5k 1.9× 550 0.9× 208 0.4× 550 1.0× 99 8.1k
Atsushi Yokota Japan 39 3.5k 1.3× 459 0.6× 672 1.1× 609 1.1× 333 0.6× 201 5.8k
Mario Latendresse United States 23 5.3k 1.9× 1.0k 1.3× 278 0.4× 259 0.5× 314 0.6× 46 7.0k

Countries citing papers authored by Gianni Panagiotou

Since Specialization
Citations

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

Fields of papers citing papers by Gianni Panagiotou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianni Panagiotou

This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Panagiotou. A scholar is included among the top collaborators of Gianni Panagiotou 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 Gianni Panagiotou. Gianni Panagiotou 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
2.
Straßburger, Maria, Bastian Seelbinder, Sándor Nietzsche, et al.. (2025). The murine lung microbiome is disbalanced by the human-pathogenic fungus Aspergillus fumigatus resulting in enrichment of anaerobic bacteria. Cell Reports. 44(3). 115442–115442. 1 indexed citations
3.
Li, Huating, Weiping Jia, Aimin Xu, et al.. (2025). Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease. Microbiome. 13(1). 10–10. 6 indexed citations
4.
Xiong, Ling, Na Liu, Thomas Lehmann, et al.. (2025). Targeting protein kinase C-α prolongs survival and restores liver function in sepsis: Evidence from preclinical models. Pharmacological Research. 212. 107581–107581. 1 indexed citations
5.
6.
Kurzai, Oliver, Arnhild Grothey, Lars Dölken, et al.. (2025). Unveiling immune interference: how the dendritic cell response to co-infection with Aspergillus fumigatus is modulated by human cytomegalovirus and its virokine CMV IL-10. mBio. 16(11). e0154125–e0154125. 1 indexed citations
7.
Blatzer, Michael, Andreas Dietl, Ulrike Binder, et al.. (2025). Aspergillus terreus sectorization: a morphological phenomenon shedding light on amphotericin B resistance mechanism. mBio. 16(4). e0392624–e0392624. 1 indexed citations
8.
Xu, Lin-Lin, Shelby E. McIlroy, Jiarui Chen, et al.. (2025). Chemical pollution drives taxonomic and functional shifts in marine sediment microbiome, influencing benthic metazoans. ISME Communications. 5(1). ycae141–ycae141.
9.
Schäuble, Sascha, Bastian Seelbinder, Michael Bauer, et al.. (2024). Risk assessment with gene expression markers in sepsis development. Cell Reports Medicine. 5(9). 101712–101712. 4 indexed citations
10.
McIlroy, Shelby E., J. Emmett Duffy, Jerome H. L. Hui, et al.. (2024). Life goes on: Spatial heterogeneity promotes biodiversity in an urbanized coastal marine ecosystem. Global Change Biology. 30(4). e17248–e17248. 2 indexed citations
11.
Şen, Zümrüt Duygu, Tilman E. Klassert, Anne Busch, et al.. (2023). Microbiome and immuno-metabolic dysregulation in patients with major depressive disorder with atypical clinical presentation. Neuropharmacology. 235. 109568–109568. 19 indexed citations
12.
Krüger, Thomas, Xiaoqing Pan, Sascha Schäuble, et al.. (2023). Disruption of the Aspergillus fumigatus RNA interference machinery alters the conidial transcriptome. RNA. 29(7). 1033–1050. 2 indexed citations
13.
Männistö, Ville, et al.. (2023). Gut ecological networks reveal associations between bacteria, exercise, and clinical profile in non-alcoholic fatty liver disease patients. mSystems. 8(5). e0022423–e0022423. 7 indexed citations
14.
Long, Xiaoxue, Yueqiong Ni, Lingling Qian, et al.. (2022). Risk assessment with gut microbiome and metabolite markers in NAFLD development. Science Translational Medicine. 14(648). eabk0855–eabk0855. 91 indexed citations
15.
Ni, Yueqiong, Zoltán Lohinai, Yoshitaro Heshiki, et al.. (2021). Distinct composition and metabolic functions of human gut microbiota are associated with cachexia in lung cancer patients. The ISME Journal. 15(11). 3207–3220. 86 indexed citations
16.
Barber, Amelia E., Kang Kang, Werner Brabetz, et al.. (2020). Effects of Agricultural Fungicide Use on Aspergillus fumigatus Abundance, Antifungal Susceptibility, and Population Structure. mBio. 11(6). 47 indexed citations
17.
Seelbinder, Bastian, Jiarui Chen, Sascha Brunke, et al.. (2020). Antibiotics create a shift from mutualism to competition in human gut communities with a longer-lasting impact on fungi than bacteria. Microbiome. 8(1). 133–133. 100 indexed citations
19.
Schäuble, Sascha, Tilman E. Klassert, Sascha Brunke, et al.. (2020). Metabolic modeling predicts specific gut bacteria as key determinants for Candida albicans colonization levels. The ISME Journal. 15(5). 1257–1270. 32 indexed citations
20.
Zheng, Tingting, Jun Li, Yueqiong Ni, et al.. (2019). Mining, analyzing, and integrating viral signals from metagenomic data. Microbiome. 7(1). 42–42. 51 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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