Thomas Rückle

4.8k total citations · 1 hit paper
37 papers, 3.2k citations indexed

About

Thomas Rückle is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thomas Rückle has authored 37 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Oncology. Recurrent topics in Thomas Rückle's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Chemical Synthesis and Analysis (5 papers) and Immune Response and Inflammation (5 papers). Thomas Rückle is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Chemical Synthesis and Analysis (5 papers) and Immune Response and Inflammation (5 papers). Thomas Rückle collaborates with scholars based in Switzerland, Italy and United States. Thomas Rückle's co-authors include Christian Rommel, Matthias Schwarz, Montserrat Camps, Hong Ji, Emilio Hirsch, Matthias P. Wymann, Felix Rintelen, Christian Chabert, Jeffrey P. Shaw and Bart Vanhaesebroeck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Thomas Rückle

36 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blockade of PI3Kγ suppresses joint inflammation and damage in mouse models of rheumatoid arthritis

2005 650 citations Montserrat Camps, Thomas Rückle et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Rückle Switzerland	30	1.8k	1.1k	581	501	325	37	3.2k
Noriaki Inamura Japan	26	1.3k 0.7×	807 0.8×	509 0.9×	478 1.0×	459 1.4×	58	3.0k
Raymond Taetle United States	38	2.2k 1.3×	538 0.5×	1.2k 2.1×	545 1.1×	379 1.2×	129	4.4k
Frédéric Luciano France	31	2.8k 1.6×	1.2k 1.1×	596 1.0×	276 0.6×	108 0.3×	56	4.3k
Edgar Selzer Austria	35	1.7k 1.0×	604 0.6×	951 1.6×	276 0.6×	122 0.4×	106	3.7k
Jingxuan Pan China	38	2.7k 1.5×	409 0.4×	1.0k 1.8×	307 0.6×	236 0.7×	90	4.1k
Mohamed Rahmani United States	47	3.9k 2.3×	586 0.6×	1.4k 2.3×	610 1.2×	264 0.8×	95	5.7k
Dimcho Bachvarov Canada	34	1.9k 1.1×	777 0.7×	582 1.0×	1.4k 2.8×	145 0.4×	91	3.9k
Arnaud Jacquel France	33	1.7k 1.0×	718 0.7×	514 0.9×	323 0.6×	79 0.2×	64	3.0k
Teresa McQueen United States	37	2.7k 1.5×	593 0.6×	1.0k 1.8×	536 1.1×	118 0.4×	95	4.2k
Yoshihito Shima Japan	33	2.3k 1.3×	1.2k 1.2×	1.5k 2.6×	298 0.6×	98 0.3×	78	5.1k

Countries citing papers authored by Thomas Rückle

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Rückle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Rückle

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

All Works

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20 of 20 papers shown

Hermjakob, Henning, Tung V. N. Nguyen, Thomas Rückle, et al.. (2025). Talk2Biomodels: AI agent-based open-source LLM initiative for kinetic biological models. BMC Bioinformatics. 26(1). 276–276.

McCarthy, James, Julie Lotharius, Thomas Rückle, et al.. (2017). Safety, tolerability, pharmacokinetics, and activity of the novel long-acting antimalarial DSM265: a two-part first-in-human phase 1a/1b randomised study. The Lancet Infectious Diseases. 17(6). 626–635. 82 indexed citations

McCarthy, James, Thomas Rückle, Cathy Cantalloube, et al.. (2016). A Phase II pilot trial to evaluate safety and efficacy of ferroquine against early Plasmodium falciparum in an induced blood-stage malaria infection study. Malaria Journal. 15(1). 469–469. 81 indexed citations

Barbi, Joseph, Patrick K. Reville, Steve Oghumu, et al.. (2012). Critical role for phosphoinositide 3-kinase gamma in parasite invasion and disease progression of cutaneous leishmaniasis. Proceedings of the National Academy of Sciences. 109(4). 1251–1256. 37 indexed citations

Martin, Erica L., Danielle G. Souza, Caio T. Fagundes, et al.. (2010). Phosphoinositide-3 Kinase γ Activity Contributes to Sepsis and Organ Damage by Altering Neutrophil Recruitment. American Journal of Respiratory and Critical Care Medicine. 182(6). 762–773. 56 indexed citations

Berndt, Alex, Simon Miller, Olusegun Williams, et al.. (2010). The p110δ structure: mechanisms for selectivity and potency of new PI(3)K inhibitors. Nature Chemical Biology. 6(2). 117–124. 215 indexed citations

Reutershan, Jörg, et al.. (2009). Phosphoinositide 3-kinase γ required for lipopolysaccharide-induced transepithelial neutrophil trafficking in the lung. European Respiratory Journal. 35(5). 1137–1147. 20 indexed citations

Hayer, Silvia, Noreen Pundt, Marvin Peters, et al.. (2009). PI3Kγ regulates cartilage damage in chronic inflammatory arthritis. The FASEB Journal. 23(12). 4288–4298. 62 indexed citations

Gamell, Cristina, Nelson Osses, Ramón Bartrons, et al.. (2008). BMP2 induction of actin cytoskeleton reorganization and cell migration requires PI3-kinase and Cdc42 activity. Journal of Cell Science. 121(23). 3960–3970. 102 indexed citations

10.

Fougerat, Anne, Stéphanie Gayral, Pierre Gourdy, et al.. (2008). Genetic and Pharmacological Targeting of Phosphoinositide 3-Kinase-γ Reduces Atherosclerosis and Favors Plaque Stability by Modulating Inflammatory Processes. Circulation. 117(10). 1310–1317. 106 indexed citations

11.

Ali, Khaled, Montserrat Camps, Wayne Pearce, et al.. (2008). Isoform-Specific Functions of Phosphoinositide 3-Kinases: p110δ but Not p110γ Promotes Optimal Allergic Responses In Vivo. The Journal of Immunology. 180(4). 2538–2544. 99 indexed citations

12.

Pinho, Vanessa, Remo Castro Russo, Flávio A. Amaral, et al.. (2007). Tissue- and Stimulus-Dependent Role of Phosphatidylinositol 3-Kinase Isoforms for Neutrophil Recruitment Induced by Chemoattractants In Vivo. The Journal of Immunology. 179(11). 7891–7898. 53 indexed citations

13.

Maus, Ulrich A., Christine Winter, Mrigank Srivastava, et al.. (2007). Importance of Phosphoinositide 3-Kinase γ in the Host Defense against Pneumococcal Infection. American Journal of Respiratory and Critical Care Medicine. 175(9). 958–966. 65 indexed citations

14.

Ferrandi, Chiara, Pamela J. Ferro, Thomas Rückle, et al.. (2007). Phosphoinositide 3-Kinase γ Inhibition Plays a Crucial Role in Early Steps of Inflammation by Blocking Neutrophil Recruitment. Journal of Pharmacology and Experimental Therapeutics. 322(3). 923–930. 46 indexed citations

15.

Rückle, Thomas, Matthias Schwarz, & Christian Rommel. (2006). PI3Kγ inhibition: towards an 'aspirin of the 21st century'?. Nature Reviews Drug Discovery. 5(11). 903–918. 198 indexed citations

16.

Bilancio, Antonio, Klaus Okkenhaug, Montserrat Camps, et al.. (2005). Key role of the p110δ isoform of PI3K in B-cell antigen and IL-4 receptor signaling: comparative analysis of genetic and pharmacologic interference with p110δ function in B cells. Blood. 107(2). 642–650. 175 indexed citations

17.

Barber, Domingo F., Carmen Hernández, Juana M. Flores, et al.. (2005). PI3Kγ inhibition blocks glomerulonephritis and extends lifespan in a mouse model of systemic lupus. Nature Medicine. 11(9). 933–935. 262 indexed citations

18.

Adessi, Céline, Santiago Fraga, Sylvain Biéler, et al.. (2003). Pharmacological Profiles of Peptide Drug Candidates for the Treatment of Alzheimer's Disease. Journal of Biological Chemistry. 278(16). 13905–13911. 170 indexed citations

19.

Espanel, Xavier, et al.. (2003). Mapping of Synergistic Components of Weakly Interacting Protein-Protein Motifs Using Arrays of Paired Peptides. Journal of Biological Chemistry. 278(17). 15162–15167. 34 indexed citations

20.

Peluso, Stéphane, Thomas Rückle, Christian W. Lehmann, et al.. (2001). Crystal Structure of a Synthetic Cyclodecapeptide for Template-Assembled Synthetic Protein Design. ChemBioChem. 2(6). 432–437. 45 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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