Kees R. Straatman
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- Plant Reproductive Biology
- Genomics and Chromatin Dynamics
Papers in
-
- Plant Reproductive Biology 6
- RNA Research and Splicing 5
- Nuclear Structure and Function 4
- DNA Repair Mechanisms 2
- Glycosylation and Glycoproteins Research 2
- Cell Biology 11
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 3
- Co-authors
- Andrew M. Fry (7 shared papers)Sue Shackleton (3 shared papers)Suzanna L. Prosser (2 shared papers)Rebecca S. Hames (2 shared papers)Tiago F. Outeiro (3 shared papers)Mariaelena Repici (3 shared papers)Flaviano Giorgini (3 shared papers)Peter K. Hepler (2 shared papers)
- Journals
- PROTOPLASMA (2 papers)The FASEB Journal (1 paper)Genetics (1 paper)Nature Microbiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Kees R. Straatman
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Cell Biology 350
- Molecular Biology 894
- Aging 20
- Neurology 129
- Oncology 176
Countries citing papers authored by Kees R. Straatman
This map shows the geographic impact of Kees R. Straatman'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 Kees R. Straatman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees R. Straatman more than expected).
Fields of papers citing papers by Kees R. Straatman
This network shows the impact of papers produced by Kees R. Straatman. 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 Kees R. Straatman. The network helps show where Kees R. Straatman may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees R. Straatman, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2014 | 137 | |
| 3 | 2014 | 136 | |
| 4 | 2018 | 101 | |
| 5 | 2005 | 95 | |
| 6 | 2011 | 85 | |
| 7 | 2002 | 84 | |
| 8 | 2012 | 59 | |
| 9 | 2009 | 53 | |
| 10 | 2019 | 50 | |
| 11 | 1993 | 44 | |
| 12 | 2011 | 43 | |
| 13 | 2018 | 41 | |
| 14 | 2007 | 37 | |
| 15 | 2013 | 36 | |
| 16 | 2014 | 35 | |
| 17 | 2019 | 34 | |
| 18 | 2012 | 28 | |
| 19 | 2014 | 25 | |
| 20 | 2001 | 18 |
About Kees R. Straatman
Kees R. Straatman is a scholar working on Molecular Biology, Cell Biology, Plant Science, Oncology and Epidemiology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Plant Reproductive Biology (6 papers), RNA Research and Splicing (5 papers), Nuclear Structure and Function (4 papers), Pneumonia and Respiratory Infections (3 papers), Cellular transport and secretion (3 papers), DNA Repair Mechanisms (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (350 citations), Molecular Biology (894 citations), Aging (20 citations), Neurology (129 citations) and Oncology (176 citations). Kees R. Straatman has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Andrew M. Fry, Sue Shackleton, Suzanna L. Prosser, Rebecca S. Hames, Tiago F. Outeiro, Mariaelena Repici, Flaviano Giorgini, Peter K. Hepler, Vernonica E. Franklin‐Tong and Joseph G. Kunkel. Their work appears in journals such as PROTOPLASMA, The FASEB Journal, Genetics, Nature Microbiology and PLoS ONE.
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.