Ive Logister
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Renal and related cancers 4
- Angiogenesis and VEGF in Cancer 2
- Fibroblast Growth Factor Research 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
-
- Zebrafish Biomedical Research Applications 6
- Co-authors
- Stefan Schulte‐Merker (10 shared papers)Rachel H. Giles (13 shared papers)Emile E. Voest (7 shared papers)Ellen van Rooijen (7 shared papers)Jeroen Korving (3 shared papers)Fredericus J. van Eeden (3 shared papers)Jeroen Bussmann (3 shared papers)Leonie F. A. Huitema (3 shared papers)
- Journals
- PLoS Genetics (2 papers)Blood (1 paper)PLoS Computational Biology (1 paper)Disease Models & Mechanisms (1 paper)The FASEB Journal (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Ive Logister
17 papers receiving 637 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 208
- Cancer Research 162
- Molecular Biology 416
- Genetics 154
- Aquatic Science 18
Countries citing papers authored by Ive Logister
This map shows the geographic impact of Ive Logister'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 Ive Logister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ive Logister more than expected).
Fields of papers citing papers by Ive Logister
This network shows the impact of papers produced by Ive Logister. 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 Ive Logister. The network helps show where Ive Logister may publish in the future.
Co-authors
The 25 scholars most cited alongside Ive Logister, 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 | 2009 | 119 | |
| 2 | 2010 | 95 | |
| 3 | 2012 | 90 | |
| 4 | 2014 | 65 | |
| 5 | 2018 | 64 | |
| 6 | 2013 | 38 | |
| 7 | 2020 | 33 | |
| 8 | 2015 | 27 | |
| 9 | 2011 | 24 | |
| 10 | 2017 | 20 | |
| 11 | 2012 | 18 | |
| 12 | ZEBRAFISH: DISEASE MODELS AND CHEMICAL SCREENS, 3RD EDITION | 2011 | 14 |
| 13 | 2020 | 13 | |
| 14 | 2015 | 11 | |
| 15 | 2018 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2015 | 1 | |
| 18 | 2021 | 0 |
About Ive Logister
Ive Logister is a scholar working on Molecular Biology, Cell Biology, Genetics, Cancer Research and Hematology, having authored 18 papers that have together received 646 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Renal and related cancers (4 papers), Angiogenesis and VEGF in Cancer (2 papers), Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (208 citations), Cancer Research (162 citations), Molecular Biology (416 citations), Genetics (154 citations) and Aquatic Science (18 citations). Ive Logister has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Stefan Schulte‐Merker, Rachel H. Giles, Emile E. Voest, Ellen van Rooijen, Jeroen Korving, Fredericus J. van Eeden, Jeroen Bussmann, Leonie F. A. Huitema, Alexander Apschner and Thorsten Schwerte. Their work appears in journals such as PLoS Genetics, Blood, PLoS Computational Biology, Disease Models & Mechanisms and The FASEB Journal.
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.