Thomas Illig

42.1k total citations · 3 hit papers
287 papers, 15.1k citations indexed

About

Thomas Illig is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Thomas Illig has authored 287 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 78 papers in Physiology and 45 papers in Epidemiology. Recurrent topics in Thomas Illig's work include Metabolomics and Mass Spectrometry Studies (38 papers), Asthma and respiratory diseases (33 papers) and Diet and metabolism studies (19 papers). Thomas Illig is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (38 papers), Asthma and respiratory diseases (33 papers) and Diet and metabolism studies (19 papers). Thomas Illig collaborates with scholars based in Germany, United States and Austria. Thomas Illig's co-authors include Jerzy Adamski, Norman Klopp, Karsten Suhre, Christian Gieger, Rui Wang‐Sattler, Cornelia Prehn, Florian Kronenberg, Stephan Weidinger, Annette Peters and Joachim Heinrich and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Illig

281 papers receiving 14.8k citations

Hit Papers

Identification of Serum Metabolites Associated With Risk ... 2009 2026 2014 2020 2012 2013 2009 250 500 750

Peers

Thomas Illig
Thomas Illig
Citations per year, relative to Thomas Illig Thomas Illig (= 1×) peers Jerzy Adamski

Countries citing papers authored by Thomas Illig

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Illig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Illig

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Illig. A scholar is included among the top collaborators of Thomas Illig 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 Illig. Thomas Illig 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.
Roesner, Lennart M., Manoj Kumar Gupta, Verena Kopfnagel, et al.. (2024). The RESIST Senior Individuals Cohort: Design, participant characteristics and aims. GeroScience. 47(3). 3299–3310. 2 indexed citations
2.
More, Tushar H., Karsten Hiller, Martin Seifert, et al.. (2024). Metabolomics analysis reveals novel serum metabolite alterations in cancer cachexia. Frontiers in Oncology. 14. 1286896–1286896. 8 indexed citations
3.
Agarwal, Anupriya, Jane E. Churpek, Nicolas Duployez, et al.. (2022). Validation and clinical application of transactivation assays forRUNX1variant classification. Blood Advances. 6(11). 3195–3200. 4 indexed citations
4.
Riese, Peggy, Stephanie Trittel, Manas K. Akmatov, et al.. (2022). Distinct immunological and molecular signatures underpinning influenza vaccine responsiveness in the elderly. Nature Communications. 13(1). 6894–6894. 10 indexed citations
5.
Deyneko, Igor V., et al.. (2021). Synergistic effect of genetic polymorphisms in TLR6 and TLR10 genes on the risk of pulmonary tuberculosis in a Moldavian population. Innate Immunity. 27(5). 365–376. 7 indexed citations
6.
Pfister, Eva‐Doreen, Ulrich Baumann, Marlies Eilers, et al.. (2019). Homozygous frame shift variant in ATP7B exon 1 leads to bypass of nonsense-mediated mRNA decay and to a protein capable of copper export. European Journal of Human Genetics. 27(6). 879–887. 4 indexed citations
7.
Penkert, Judith, Gunnar Schmidt, Winfried Hofmann, et al.. (2018). Breast cancer patients suggestive of Li-Fraumeni syndrome: mutational spectrum, candidate genes, and unexplained heredity. Breast Cancer Research. 20(1). 87–87. 6 indexed citations
8.
Oksala, Niku, Ilkka Seppälä, Rolle Rahikainen, et al.. (2017). Synergistic Expression of Histone Deacetylase 9 and Matrix Metalloproteinase 12 in M4 Macrophages in Advanced Carotid Plaques. European Journal of Vascular and Endovascular Surgery. 53(5). 632–640. 17 indexed citations
9.
Chin, William W., Susanne Wieschowski, Jana Prokein, Thomas Illig, & Daniel Strech. (2016). Ethics Reporting in Biospecimen and Genetic Research: Current Practice and Suggestions for Changes. PLoS Biology. 14(8). e1002521–e1002521. 1 indexed citations
10.
Hotze, Melanie, Hansjörg Baurecht, Elke Rodríguez, et al.. (2013). Increased efficacy of omalizumab in atopic dermatitis patients with wild‐type filaggrin status and higher serum levels of phosphatidylcholines. Allergy. 69(1). 132–135. 83 indexed citations
11.
Petersen, Ann-Kristin, Sonja Zeilinger, Gabi Kastenmüller, et al.. (2013). Epigenetics meets metabolomics: an epigenome-wide association study with blood serum metabolic traits. Human Molecular Genetics. 23(2). 534–545. 123 indexed citations
12.
Santhiya, Sathiyavedu Thyagarajan, Senthil Kumar Ganesan, Norman Klopp, et al.. (2010). Molecular analysis of cataract families in India: new mutations in the CRYBB2 and GJA3 genes and rare polymorphisms.. PubMed. 16. 1837–47. 39 indexed citations
13.
Graw, Jochen, Peter J. Minogue, Junjie Tong, et al.. (2009). The GJA8 allele encoding CX50I247M is a rare polymorphism, not a cataract-causing mutation.. PubMed. 15. 1881–5. 12 indexed citations
14.
Malerba, Giovanni, N. Klopp, Elke Rodríguez, et al.. (2009). ORMDL3 haplotype is associated with asthma in an italian familial collection. European Journal of Human Genetics. 17. 234–234. 1 indexed citations
15.
Kormann, Michael, Martin Depner, Dominik Hartl, et al.. (2008). Toll-like receptor heterodimer variants protect from childhood asthma. Journal of Allergy and Clinical Immunology. 122(1). 86–92.e8. 120 indexed citations
16.
Klopp, Norman, et al.. (2008). A novel GJA8 mutation causing a recessive triangular cataract.. PubMed. 14. 851–6. 27 indexed citations
17.
Morar, Nilesh, Stephan Weidinger, Wei‐Li Di, et al.. (2007). Positional cloning of susceptibility genes for atopic dermatitis in the epidermal differentiation complex. mediaTUM (Technical University of Munich). 1 indexed citations
18.
Weidinger, Stephan, Norman Klopp, Stefan Wagenpfeil, et al.. (2005). Association of NOD1 polymorphisms with atopic eczema and related phenotypes. Journal of Allergy and Clinical Immunology. 116(1). 177–184. 144 indexed citations
19.
Kormann, Michael, David Carr, Norman Klopp, et al.. (2005). G-Protein–coupled Receptor Polymorphisms Are Associated with Asthma in a Large German Population. American Journal of Respiratory and Critical Care Medicine. 171(12). 1358–1362. 105 indexed citations
20.
Gohlke, Henning, Thomas Illig, Norman Klopp, et al.. (2004). Association of the Interleukin-1 Receptor Antagonist Gene with Asthma. American Journal of Respiratory and Critical Care Medicine. 169(11). 1217–1223. 47 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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