Caroline E. Talsma
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Oncology 4
- Cancer Cells and Metastasis 3
- Co-authors
- Xing Fan (6 shared papers)Thant S. Zhu (5 shared papers)Francesco DiMeco (3 shared papers)Angelo L. Vescovi (3 shared papers)Jarek Maciaczyk (1 shared paper)Mary Soules (1 shared paper)Yue‐Ming Li (1 shared paper)Guido Nikkhah (1 shared paper)
- Journals
- Cancer Research (2 papers)Journal of Cutaneous Pathology (1 paper)Stem Cells (1 paper)PROTEOMICS (1 paper)Experimental Dermatology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Caroline E. Talsma
9 papers receiving 902 citations
Caroline E. Talsma's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 309
- Cancer Research 301
- Oncology 431
- Developmental Neuroscience 55
- Molecular Biology 526
Countries citing papers authored by Caroline E. Talsma
This map shows the geographic impact of Caroline E. Talsma'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 Caroline E. Talsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline E. Talsma more than expected).
Fields of papers citing papers by Caroline E. Talsma
This network shows the impact of papers produced by Caroline E. Talsma. 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 Caroline E. Talsma. The network helps show where Caroline E. Talsma may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline E. Talsma, 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 | NOTCH Pathway Blockade Depletes CD133-Positive Glioblastoma Cells and Inhibits Growth of Tumor Neurospheres and Xenografts Hit paper breakdown → | 2009 | 531 |
| 2 | 2011 | 315 | |
| 3 | 2010 | 31 | |
| 4 | 2011 | 23 | |
| 5 | 2015 | 13 | |
| 6 | 2010 | 8 | |
| 7 | 2020 | 6 | |
| 8 | 2017 | 3 | |
| 9 | 2011 | 1 |
About Caroline E. Talsma
Caroline E. Talsma is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 931 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers), MicroRNA in disease regulation (2 papers), Glioma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Genetics (309 citations), Cancer Research (301 citations), Oncology (431 citations), Developmental Neuroscience (55 citations) and Molecular Biology (526 citations). Caroline E. Talsma has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Xing Fan, Thant S. Zhu, Francesco DiMeco, Angelo L. Vescovi, Jarek Maciaczyk, Mary Soules, Yue‐Ming Li, Guido Nikkhah, Jiangyang Zhang and Leila Khaki. Their work appears in journals such as Cancer Research, Journal of Cutaneous Pathology, Stem Cells, PROTEOMICS and Experimental Dermatology.
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.