Marion Wiesmann
- Molecular Biology top 10%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 5%
- Hematology top 5%
- Co-authors
- Wendy J. FantlCarla HeisePablo D. GarcíaFilippo RandazzoVivien W. ChanJaime A. EscobedoJohn FullerMarkus Wartmann
- Topics
- PI3K/AKT/mTOR signaling in cancer (5 papers)Quinazolinone synthesis and applications (4 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Cited by
- GeneticsHematologyOncology
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Marion Wiesmann
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 980
- Oncology 477
- Pulmonary and Respiratory Medicine 353
- Genetics 216
- Hematology 204
Countries citing papers authored by Marion Wiesmann
This map shows the geographic impact of Marion Wiesmann'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 Marion Wiesmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Wiesmann more than expected).
Fields of papers citing papers by Marion Wiesmann
This network shows the impact of papers produced by Marion Wiesmann. 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 Marion Wiesmann. The network helps show where Marion Wiesmann may publish in the future.
Co-authorship network of co-authors of Marion Wiesmann
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Wiesmann. A scholar is included among the top collaborators of Marion Wiesmann 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 Marion Wiesmann. Marion Wiesmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 29 | |
| 4 | CDK 4/6 Inhibitors Sensitize PIK3CA Mutant Breast Cancer to PI3K Inhibitorsbreakdown → | 351 |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 125 | |
| 9 | 24 | |
| 10 | 29 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 40 | |
| 14 | 11 | |
| 15 | 95 | |
| 16 | 1 | |
| 17 | 223 | |
| 18 | beta-Catenin regulates vascular endothelial growth factor expression in colon cancer. | 245 |
| 19 | 303 | |
| 20 | [Demonstration of Rubella-specific IgG and IgM antibody (sub) classes using the enzyme immunoassay (EIA)]. | 4 |
About Marion Wiesmann
Marion Wiesmann is a scholar working on Hematology, Genetics and Pharmacology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Quinazolinone synthesis and applications (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Genetics (216 citations), Hematology (204 citations) and Oncology (477 citations). Marion Wiesmann has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Wendy J. Fantl, Carla Heise, Pablo D. García, Filippo Randazzo, Vivien W. Chan, Jaime A. Escobedo, John Fuller, Markus Wartmann, Zhihua Li and Christine Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Cell.
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.