Tim Lammens
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
Papers in
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- RNA modifications and cancer 6
-
- Cancer-related molecular mechanisms research 11
- Cancer Genomics and Diagnostics 7
- MicroRNA in disease regulation 6
- Co-authors
- Lieven De Veylder (10 shared papers)Véronique Boudolf (4 shared papers)Dirk Inzé (6 shared papers)Jing Li (1 shared paper)Gustavo Leone (1 shared paper)Éva Kondorosi (3 shared papers)Sara Maes (4 shared papers)Barbara De Moerloose (30 shared papers)
- Journals
- Blood (8 papers)Pediatric Blood & Cancer (4 papers)Scientific Reports (3 papers)PLANT PHYSIOLOGY (3 papers)Leukemia (3 papers)
- Partner nations
- BelgiumNetherlandsFrance
In The Last Decade
Tim Lammens
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 379
- Plant Science 730
- Molecular Biology 1.2k
- Hematology 127
- Cell Biology 163
Countries citing papers authored by Tim Lammens
This map shows the geographic impact of Tim Lammens'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 Tim Lammens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Lammens more than expected).
Fields of papers citing papers by Tim Lammens
This network shows the impact of papers produced by Tim Lammens. 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 Tim Lammens. The network helps show where Tim Lammens may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Lammens, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 181 | |
| 2 | 2009 | 178 | |
| 3 | 2008 | 161 | |
| 4 | 2009 | 151 | |
| 5 | 2014 | 116 | |
| 6 | 2015 | 94 | |
| 7 | 2014 | 90 | |
| 8 | 2022 | 89 | |
| 9 | 2017 | 86 | |
| 10 | 2008 | 76 | |
| 11 | 2010 | 61 | |
| 12 | 2010 | 56 | |
| 13 | 2008 | 55 | |
| 14 | 2011 | 52 | |
| 15 | 2020 | 42 | |
| 16 | 2018 | 42 | |
| 17 | 2012 | 40 | |
| 18 | 2020 | 38 | |
| 19 | 2014 | 36 | |
| 20 | 2013 | 35 |
About Tim Lammens
Tim Lammens is a scholar working on Molecular Biology, Cancer Research, Hematology, Public Health, Environmental and Occupational Health and Oncology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (13 papers), Acute Myeloid Leukemia Research (13 papers), Cancer-related molecular mechanisms research (11 papers), Cancer Genomics and Diagnostics (7 papers), Microtubule and mitosis dynamics (6 papers), Neuroblastoma Research and Treatments (6 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (379 citations), Plant Science (730 citations), Molecular Biology (1.2k citations), Hematology (127 citations) and Cell Biology (163 citations). Tim Lammens has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Lieven De Veylder, Véronique Boudolf, Dirk Inzé, Jing Li, Gustavo Leone, Éva Kondorosi, Sara Maes, Barbara De Moerloose, Yves Benoît and Pieter Van Vlierberghe. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Scientific Reports, PLANT PHYSIOLOGY and Leukemia.
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.