Katarina LeBlanc
- Genetics top 0.5%
- Surgery top 10%
- Molecular Biology
- Hematology top 5%
- Oncology top 10%
- Co-authors
- Olle RingdénIda RasmussonBjörn SundbergIván MartínJacques GalipeauJan A. NoltaDonald G. PhinneyMauro Krampera
- Topics
- Mesenchymal stem cell research (7 papers)Hematopoietic Stem Cell Transplantation (7 papers)Acute Myeloid Leukemia Research (3 papers)
- Cited by
- GeneticsHematologyUrology
- Journals
- American Journal of Obstetrics and GynecologyExperimental Cell ResearchBritish Journal of Haematology
- Partner nations
- SwedenUnited StatesItaly
In The Last Decade
Katarina LeBlanc
21 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 1.0k
- Surgery 471
- Molecular Biology 380
- Hematology 339
- Oncology 261
Countries citing papers authored by Katarina LeBlanc
This map shows the geographic impact of Katarina LeBlanc'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 Katarina LeBlanc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katarina LeBlanc more than expected).
Fields of papers citing papers by Katarina LeBlanc
This network shows the impact of papers produced by Katarina LeBlanc. 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 Katarina LeBlanc. The network helps show where Katarina LeBlanc may publish in the future.
Co-authorship network of co-authors of Katarina LeBlanc
This figure shows the co-authorship network connecting the top 25 collaborators of Katarina LeBlanc. A scholar is included among the top collaborators of Katarina LeBlanc 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 Katarina LeBlanc. Katarina LeBlanc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 8 | |
| 3 | 29 | |
| 4 | 34 | |
| 5 | Mesenchymal stem versus stromal cells: International Society for Cell & Gene Therapy (ISCT®) Mesenchymal Stromal Cell committee position statement on nomenclaturebreakdown → | 542 |
| 6 | 29 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 63 | |
| 10 | 11 | |
| 11 | 59 | |
| 12 | 27 | |
| 13 | 58 | |
| 14 | 41 | |
| 15 | 415 | |
| 16 | 41 | |
| 17 | 14 | |
| 18 | 57 | |
| 19 | 5 | |
| 20 | 21 |
About Katarina LeBlanc
Katarina LeBlanc is a scholar working on Genetics, Hematology and Immunology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (339 citations) and Urology (74 citations). Katarina LeBlanc has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Olle Ringdén, Ida Rasmusson, Björn Sundberg, Iván Martín, Jacques Galipeau, Jan A. Nolta, Donald G. Phinney, Mauro Krampera, Sowmya Viswanathan and Yufang Shi. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Experimental Cell Research and British Journal of Haematology.
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.