Robert Haesler
Impact in
-
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
Papers in
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Philip Rosenstiel (5 shared papers)Stefan Schreiber (5 shared papers)Ateequr Rehman (2 shared papers)Aurélie Couturier-Maillard (1 shared paper)Sylvain Normand (1 shared paper)Bernhard Ryffel (1 shared paper)Yves Lemoine (1 shared paper)Teddy Grandjean (1 shared paper)
- Journals
- Gut (2 papers)Clinical Pharmacology & Therapeutics (1 paper)Journal of Clinical Investigation (1 paper)Blood (1 paper)Clinical Immunology (1 paper)
- Partner nations
- GermanyAustraliaSouth Africa
In The Last Decade
Robert Haesler
7 papers receiving 526 citations
Robert Haesler's Hit Papers
Peers
Comparison fields: 5 of 71
- Immunology 153
- Infectious Diseases 131
- Gastroenterology 34
- Molecular Biology 358
- Genetics 139
Countries citing papers authored by Robert Haesler
This map shows the geographic impact of Robert Haesler'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 Robert Haesler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Haesler more than expected).
Fields of papers citing papers by Robert Haesler
This network shows the impact of papers produced by Robert Haesler. 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 Robert Haesler. The network helps show where Robert Haesler may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Haesler, 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 | NOD2-mediated dysbiosis predisposes mice to transmissible colitis and colorectal cancer Hit paper breakdown → | 2013 | 453 |
| 2 | 2012 | 32 | |
| 3 | 2012 | 22 | |
| 4 | 2008 | 21 | |
| 5 | 2023 | 3 | |
| 6 | c-Rel is a critical mediator of NF-kappa B dependent TRAIL resistance of pancreatic cancer cells | 2015 | 1 |
| 7 | 2014 | 1 |
About Robert Haesler
Robert Haesler is a scholar working on Molecular Biology, Oncology, Genetics, Infectious Diseases and Surgery, having authored 7 papers that have together received 533 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Bone and Dental Protein Studies (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Immunology (153 citations), Infectious Diseases (131 citations), Gastroenterology (34 citations), Molecular Biology (358 citations) and Genetics (139 citations). Robert Haesler has collaborated with scholars based in Germany, Australia and South Africa. Frequent co-authors include Philip Rosenstiel, Stefan Schreiber, Ateequr Rehman, Aurélie Couturier-Maillard, Sylvain Normand, Bernhard Ryffel, Yves Lemoine, Teddy Grandjean, Adèle De Arcangelis and Ludovic Huot. Their work appears in journals such as Gut, Clinical Pharmacology & Therapeutics, Journal of Clinical Investigation, Blood and Clinical Immunology.
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.