Joachim Weischenfeldt
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Genetics top 5%
- Plant Science top 10%
- Co-authors
- Bo PorseJan O. KorbelOrsolya SymmonsFrançois SpitzInge DamgaardLina ThorénSten Eirik W. JacobsenFinn Cilius Nielsen
- Topics
- Cancer Genomics and Diagnostics (8 papers)Acute Myeloid Leukemia Research (6 papers)Prostate Cancer Treatment and Research (6 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Joachim Weischenfeldt
37 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.5k
- Immunology 512
- Cancer Research 496
- Genetics 482
- Plant Science 203
Countries citing papers authored by Joachim Weischenfeldt
This map shows the geographic impact of Joachim Weischenfeldt'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 Joachim Weischenfeldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Weischenfeldt more than expected).
Fields of papers citing papers by Joachim Weischenfeldt
This network shows the impact of papers produced by Joachim Weischenfeldt. 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 Joachim Weischenfeldt. The network helps show where Joachim Weischenfeldt may publish in the future.
Co-authorship network of co-authors of Joachim Weischenfeldt
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Weischenfeldt. A scholar is included among the top collaborators of Joachim Weischenfeldt 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 Joachim Weischenfeldt. Joachim Weischenfeldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 12 | |
| 12 | 40 | |
| 13 | 181 | |
| 14 | 19 | |
| 15 | 11 | |
| 16 | Phenotypic impact of genomic structural variation: insights from and for human diseasebreakdown → | 407 |
| 17 | 106 | |
| 18 | 59 | |
| 19 | Bone Marrow-Derived Macrophages (BMM): Isolation and Applicationsbreakdown → | 778 |
| 20 | 48 |
About Joachim Weischenfeldt
Joachim Weischenfeldt is a scholar working on Cancer Research, Genetics and Hematology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (6 papers) and Prostate Cancer Treatment and Research (6 papers). The work is most often cited by research in Cancer Research (496 citations), Immunology (512 citations) and Molecular Biology (1.5k citations). Joachim Weischenfeldt has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Bo Porse, Jan O. Korbel, Orsolya Symmons, François Spitz, Inge Damgaard, Lina Thorén, Sten Eirik W. Jacobsen, Finn Cilius Nielsen, Claus Nerlov and David Bryder. Their work appears in journals such as Nature Communications, Genes & Development and The Journal of Cell Biology.
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.