Noreen Luetteke
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 2%
- Surgery top 5%
- Genetics top 5%
- Co-authors
- Ting QiuDavid C. LeeRalph L. BrinsterEric P. SandgrenRichard D. PalmiterGeorge K. MichalopoulosRobert L. PeifferPaula M. Oliver
- Topics
- TGF-β signaling in diseases (8 papers)Liver physiology and pathology (6 papers)Histone Deacetylase Inhibitors Research (5 papers)
- Cited by
- HepatologyOncologyImmunology
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Noreen Luetteke
34 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.9k
- Oncology 1.5k
- Immunology 961
- Surgery 593
- Genetics 571
Countries citing papers authored by Noreen Luetteke
This map shows the geographic impact of Noreen Luetteke'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 Noreen Luetteke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noreen Luetteke more than expected).
Fields of papers citing papers by Noreen Luetteke
This network shows the impact of papers produced by Noreen Luetteke. 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 Noreen Luetteke. The network helps show where Noreen Luetteke may publish in the future.
Co-authorship network of co-authors of Noreen Luetteke
This figure shows the co-authorship network connecting the top 25 collaborators of Noreen Luetteke. A scholar is included among the top collaborators of Noreen Luetteke 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 Noreen Luetteke. Noreen Luetteke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 63 | |
| 3 | 34 | |
| 4 | 32 | |
| 5 | 31 | |
| 6 | 1 | |
| 7 | Inhibition of dendritic cell differentiation and accumulation of myeloid-derived suppressor cells in cancer is regulated by S100A9 proteinbreakdown → | 713 |
| 8 | 21 | |
| 9 | 88 | |
| 10 | 18 | |
| 11 | 80 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 368 | |
| 15 | 102 | |
| 16 | TGFα deficiency results in hair follicle and eye abnormalities in targeted and waved-1 micebreakdown → | 561 |
| 17 | 62 | |
| 18 | 142 | |
| 19 | 93 | |
| 20 | Control of hepatocyte replication by two serum factors. | 253 |
About Noreen Luetteke
Noreen Luetteke is a scholar working on Immunology and Allergy, Hepatology and Molecular Biology, having authored 34 papers that have together received 4.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Liver physiology and pathology (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Hepatology (455 citations), Oncology (1.5k citations) and Immunology (961 citations). Noreen Luetteke has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Ting Qiu, David C. Lee, Ralph L. Brinster, Eric P. Sandgren, Richard D. Palmiter, David C. Lee, George K. Michalopoulos, Robert L. Peiffer, Paula M. Oliver and Oliver Smithies. Their work appears in journals such as Cell, The Journal of Experimental Medicine and Genes & Development.
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.