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 and protein synthesis mechanisms
- RNA modifications and cancer
- Aging top 5%
Papers in
- Aging 1
-
- Genomics and Chromatin Dynamics 25
- RNA Research and Splicing 16
- Nuclear Structure and Function 11
- Epigenetics and DNA Methylation 9
- Single-cell and spatial transcriptomics 4
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 4
- Co-authors
- Bas van SteenselAsifa AkhtarLudo PagieSandra S. de VriesMario AmendolaGuillaume J. FilionJoke G. van BemmelRon Kerkhoven
- 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
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 3.5k
- Aging 64
- Plant Science 695
- Genetics 506
- Virology 75
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 69 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 78 | |
| 8 | 2019 | 99 | |
| 9 | 2019 | 56 | |
| 10 | 2015 | 332 | |
| 11 | 2014 | 35 | |
| 12 | Single-Cell Dynamics of Genome-Nuclear Lamina Interactions Hit paper breakdown → | 2013 | 500 |
| 13 | 2013 | 96 | |
| 14 | 2012 | 83 | |
| 15 | 2012 | 58 | |
| 16 | 2011 | 24 | |
| 17 | Systematic Protein Location Mapping Reveals Five Principal Chromatin Types in Drosophila Cells Hit paper breakdown → | 2010 | 693 |
| 18 | 2008 | 127 | |
| 19 | 2007 | 48 | |
| 20 | 2006 | 323 |
About Jop Kind
Jop Kind is a scholar working on Aging, Molecular Biology, Cancer Research, Genetics and Plant Science, having authored 36 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (16 papers), Nuclear Structure and Function (11 papers), Epigenetics and DNA Methylation (9 papers), Chromosomal and Genetic Variations (5 papers), Single-cell and spatial transcriptomics (4 papers), DNA Repair Mechanisms (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Aging (64 citations), Plant Science (695 citations), Genetics (506 citations) and Virology (75 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, Guillaume J. Filion, Joke G. van Bemmel, Ron Kerkhoven, Ulrich Braunschweig and Wim Brugman. 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.