Michael Leitges
- Immunology top 0.5%
- T-cell and B-cell Immunology 26
- Immune Cell Function and Interaction 21
- Mast cells and histamine 17
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling 52
- Metabolism, Diabetes, and Cancer 31
- PI3K/AKT/mTOR signaling in cancer 18
- Cancer Research top 1%
- NF-κB Signaling Pathways 22
- Immunology and Allergy top 1%
- Cell Biology top 0.5%
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- Pancreatic function and diabetes 24
- Co-authors
- Gottfried BaierMaría T. Díaz‐MecoJorge MoscatAlexander TarakhovskyUrsula BraunÁngeles DuránHenrik OsterNassim Ghaffari‐Tabrizi‐Wizsy
- Journals
- Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (9 papers)The Journal of Immunology (8 papers)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Michael Leitges
235 papers receiving 12.5k citations
Peers
Comparison fields: 5 of 138
- Immunology 3.0k
- Molecular Biology 7.2k
- Cancer Research 1.4k
- Immunology and Allergy 502
- Cell Biology 1.3k
Countries citing papers authored by Michael Leitges
This map shows the geographic impact of Michael Leitges'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 Michael Leitges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Leitges more than expected).
Fields of papers citing papers by Michael Leitges
This network shows the impact of papers produced by Michael Leitges. 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 Michael Leitges. The network helps show where Michael Leitges may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Leitges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2020 | 22 | |
| 3 | 2015 | 78 | |
| 4 | 2013 | 28 | |
| 5 | 2013 | 4 | |
| 6 | 2011 | 115 | |
| 7 | 2009 | 82 | |
| 8 | 2009 | 20 | |
| 9 | Par‐4とPTENのin vivoにおける同時不活性化は相乗的にNF‐κB活性化と侵襲性前立腺癌を誘導する | 2009 | 13 |
| 10 | 2008 | 52 | |
| 11 | 2007 | 31 | |
| 12 | 2007 | 142 | |
| 13 | 2007 | 25 | |
| 14 | 2006 | 95 | |
| 15 | 2006 | 55 | |
| 16 | 2006 | 51 | |
| 17 | 2005 | 58 | |
| 18 | 2003 | 215 | |
| 19 | 2002 | 113 | |
| 20 | 2001 | 190 |
About Michael Leitges
Michael Leitges is a scholar working on Immunology, Immunology and Allergy and Molecular Biology, having authored 237 papers that have together received 12.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (52 papers), Metabolism, Diabetes, and Cancer (31 papers), T-cell and B-cell Immunology (26 papers), Pancreatic function and diabetes (24 papers), NF-κB Signaling Pathways (22 papers), Immune Cell Function and Interaction (21 papers), PI3K/AKT/mTOR signaling in cancer (18 papers) and Mast cells and histamine (17 papers). The work is most often cited by research in Immunology (3.0k citations), Molecular Biology (7.2k citations) and Cancer Research (1.4k citations). Michael Leitges has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Gottfried Baier, María T. Díaz‐Meco, Jorge Moscat, Alexander Tarakhovsky, Ursula Braun, Ángeles Durán, Henrik Oster, Nassim Ghaffari‐Tabrizi‐Wizsy, Andreas Kispert and Ingrid Mecklenbräuker. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Immunology, The FASEB Journal and Journal of Clinical Investigation.
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.