Caroline A. Heckman
- Molecular Biology top 5%
- Oncology top 2%
- Hematology top 1%
- Cancer Research top 2%
- Genetics top 2%
- Co-authors
- Linda M. BoxerHong DuanKimmo PorkkaMuntasir Mamun MajumderOlli KallioniemiMagdalena ArcinasKrister WennerbergSamuli Eldfors
- Topics
- Acute Myeloid Leukemia Research (44 papers)Multiple Myeloma Research and Treatments (25 papers)Protein Degradation and Inhibitors (24 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Caroline A. Heckman
123 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.2k
- Oncology 993
- Hematology 822
- Cancer Research 662
- Genetics 504
Countries citing papers authored by Caroline A. Heckman
This map shows the geographic impact of Caroline A. Heckman'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 A. Heckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline A. Heckman more than expected).
Fields of papers citing papers by Caroline A. Heckman
This network shows the impact of papers produced by Caroline A. Heckman. 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 A. Heckman. The network helps show where Caroline A. Heckman may publish in the future.
Co-authorship network of co-authors of Caroline A. Heckman
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline A. Heckman. A scholar is included among the top collaborators of Caroline A. Heckman 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 Caroline A. Heckman. Caroline A. Heckman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 7 | |
| 14 | 39 | |
| 15 | 38 | |
| 16 | 19 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | Comparison of solution-based exome capture methods for next generation sequencing | 1 |
| 20 | Inhibition of VEGF-C-induced VEGFR-3 activity and lymphatic endothelial cell function by the tyrosine kinase inhibitor AZD2171 | 1 |
About Caroline A. Heckman
Caroline A. Heckman is a scholar working on Hematology, Genetics and Cancer Research, having authored 135 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (44 papers), Multiple Myeloma Research and Treatments (25 papers) and Protein Degradation and Inhibitors (24 papers). The work is most often cited by research in Hematology (822 citations), Genetics (504 citations) and Cancer Research (662 citations). Caroline A. Heckman has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Linda M. Boxer, Hong Duan, Kimmo Porkka, Muntasir Mamun Majumder, Olli Kallioniemi, Magdalena Arcinas, Krister Wennerberg, Samuli Eldfors, Kari Alitalo and Mika Kontro. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.
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.