Karoline Kollmann
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 4
- Oncology 13
- Cancer-related Molecular Pathways 9
- Co-authors
- Veronika Sexl (26 shared papers)Florian Bellutti (7 shared papers)Graham Tebb (1 shared paper)Gerwin Heller (10 shared papers)Michaela Prchal‐Murphy (8 shared papers)Marcos Malumbres (4 shared papers)Christine Schneckenleithner (3 shared papers)Sabine Zöchbauer‐Müller (4 shared papers)
- Journals
- Blood (10 papers)Oncotarget (3 papers)iScience (2 papers)Oncogene (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- AustriaUnited StatesSpain
In The Last Decade
Karoline Kollmann
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Hematology 293
- Genetics 228
- Oncology 394
- Cancer Research 150
- Molecular Biology 599
Countries citing papers authored by Karoline Kollmann
This map shows the geographic impact of Karoline Kollmann'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 Karoline Kollmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karoline Kollmann more than expected).
Fields of papers citing papers by Karoline Kollmann
This network shows the impact of papers produced by Karoline Kollmann. 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 Karoline Kollmann. The network helps show where Karoline Kollmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Karoline Kollmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 182 | |
| 2 | 2014 | 176 | |
| 3 | 2011 | 148 | |
| 4 | 2015 | 139 | |
| 5 | 2020 | 130 | |
| 6 | 2012 | 45 | |
| 7 | 2016 | 43 | |
| 8 | 2019 | 39 | |
| 9 | 2020 | 38 | |
| 10 | 2011 | 36 | |
| 11 | 1998 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2021 | 27 | |
| 15 | 2011 | 27 | |
| 16 | 2014 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2022 | 20 | |
| 19 | 2007 | 19 | |
| 20 | 2011 | 15 |
About Karoline Kollmann
Karoline Kollmann is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Acute Myeloid Leukemia Research (7 papers), Advanced Breast Cancer Therapies (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Protein Degradation and Inhibitors (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (293 citations), Genetics (228 citations), Oncology (394 citations), Cancer Research (150 citations) and Molecular Biology (599 citations). Karoline Kollmann has collaborated with scholars based in Austria, United States and Spain. Frequent co-authors include Veronika Sexl, Florian Bellutti, Graham Tebb, Gerwin Heller, Michaela Prchal‐Murphy, Marcos Malumbres, Christine Schneckenleithner, Sabine Zöchbauer‐Müller, Ruth Scheicher and Iris Z. Uras. Their work appears in journals such as Blood, Oncotarget, iScience, Oncogene and Pharmaceuticals.
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.