Jop Kind
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 26
- RNA Research and Splicing 16
- Nuclear Structure and Function 11
- Epigenetics and DNA Methylation 9
- Single-cell and spatial transcriptomics 6
- DNA Repair Mechanisms 4
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- Chromosomal and Genetic Variations 5
- Co-authors
- Bas van Steensel (9 shared papers)Asifa Akhtar (6 shared papers)Ludo Pagie (3 shared papers)Sandra S. de Vries (3 shared papers)Mario Amendola (2 shared papers)Inês J. de Castro (2 shared papers)Joke G. van Bemmel (2 shared papers)Lucas D. Ward (2 shared papers)
- Journals
- Cell (5 papers)Nature (3 papers)Cell Reports (2 papers)Molecular Cell (2 papers)Genes & Development (2 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Jop Kind
36 papers receiving 3.8k citations
Jop Kind's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 3.5k
- Aging 61
- Genetics 496
- Plant Science 651
- Virology 74
Countries citing papers authored by Jop Kind
This map shows the geographic impact of Jop Kind'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 Jop Kind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jop Kind more than expected).
Fields of papers citing papers by Jop Kind
This network shows the impact of papers produced by Jop Kind. 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 Jop Kind. The network helps show where Jop Kind may publish in the future.
Co-authors
The 25 scholars most cited alongside Jop Kind, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic Protein Location Mapping Reveals Five Principal Chromatin Types in Drosophila Cells Hit paper breakdown → | 2010 | 698 |
| 2 | Single-Cell Dynamics of Genome-Nuclear Lamina Interactions Hit paper breakdown → | 2013 | 508 |
| 3 | 2015 | 340 | |
| 4 | 2012 | 336 | |
| 5 | 2006 | 323 | |
| 6 | 2010 | 202 | |
| 7 | 2010 | 161 | |
| 8 | 2008 | 128 | |
| 9 | 2019 | 104 | |
| 10 | 2013 | 96 | |
| 11 | 1974 | 93 | |
| 12 | 2012 | 83 | |
| 13 | 2019 | 80 | |
| 14 | 2020 | 78 | |
| 15 | 2022 | 76 | |
| 16 | 2014 | 69 | |
| 17 | 2012 | 60 | |
| 18 | 2019 | 58 | |
| 19 | 2008 | 54 | |
| 20 | 2019 | 49 |
About Jop Kind
Jop Kind is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (26 papers), RNA Research and Splicing (16 papers), Nuclear Structure and Function (11 papers), Epigenetics and DNA Methylation (9 papers), Single-cell and spatial transcriptomics (6 papers), Chromosomal and Genetic Variations (5 papers), DNA Repair Mechanisms (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Aging (61 citations), Genetics (496 citations), Plant Science (651 citations) and Virology (74 citations). Jop Kind has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Bas van Steensel, Asifa Akhtar, Ludo Pagie, Sandra S. de Vries, Mario Amendola, Inês J. de Castro, Joke G. van Bemmel, Lucas D. Ward, Wim Brugman and Ulrich Braunschweig. Their work appears in journals such as Cell, Nature, Cell Reports, Molecular Cell and Genes & Development.
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.