Katherine T. Landschulz
- Surgery top 2%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Oncology top 5%
- Co-authors
- Helen H. HobbsAttilio RigottiMonty KriegerSusan ActonShangzhe XuIan A. SimpsonSusan J. VannucciWilliam Landschulz
- Topics
- Cholesterol and Lipid Metabolism (4 papers)Peroxisome Proliferator-Activated Receptors (4 papers)Genetic Associations and Epidemiology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Katherine T. Landschulz
17 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Surgery 1.6k
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 727
- Cancer Research 536
- Oncology 477
Countries citing papers authored by Katherine T. Landschulz
This map shows the geographic impact of Katherine T. Landschulz'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 Katherine T. Landschulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine T. Landschulz more than expected).
Fields of papers citing papers by Katherine T. Landschulz
This network shows the impact of papers produced by Katherine T. Landschulz. 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 Katherine T. Landschulz. The network helps show where Katherine T. Landschulz may publish in the future.
Co-authorship network of co-authors of Katherine T. Landschulz
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine T. Landschulz. A scholar is included among the top collaborators of Katherine T. Landschulz 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 Katherine T. Landschulz. Katherine T. Landschulz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Biomarkers of the Hedgehog/Smoothened pathway in healthy volunteers. | 2 |
| 3 | 34 | |
| 4 | 18 | |
| 5 | 108 | |
| 6 | 51 | |
| 7 | 70 | |
| 8 | 1 | |
| 9 | Delivery of RNAi reagents in murine models of obesity and diabetes. | 8 |
| 10 | 57 | |
| 11 | 30 | |
| 12 | 139 | |
| 13 | 126 | |
| 14 | 76 | |
| 15 | 470 | |
| 16 | Identification of Scavenger Receptor SR-BI as a High Density Lipoprotein Receptorbreakdown → | 1943 |
| 17 | 120 |
About Katherine T. Landschulz
Katherine T. Landschulz is a scholar working on Biochemistry, Cancer Research and Molecular Biology, having authored 17 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (727 citations), Cancer Research (536 citations) and Surgery (1.6k citations). Katherine T. Landschulz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Helen H. Hobbs, Attilio Rigotti, Monty Krieger, Susan Acton, Shangzhe Xu, Ian A. Simpson, Susan J. Vannucci, William Landschulz, Ellen Koehler-Stec and Kathleen Wyne. Their work appears in journals such as Science, Journal of Biological Chemistry 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.