Bart Deplancke
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 12
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics 28
- RNA Research and Splicing 22
- Single-cell and spatial transcriptomics 15
- CRISPR and Genetic Engineering 13
- Gene Regulatory Network Analysis 13
- RNA and protein synthesis mechanisms 11
- Immunology top 2%
- Animal Science and Zoology top 1%
-
- Adipose Tissue and Metabolism 14
- Co-authors
- H. Rex GaskinsAlbertha J.M. WalhoutVincent GardeuxDaniel AlpernHeidi A. TissenbaumArnab MukhopadhyaySunil K. RaghavPetra Schwalie
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Bart Deplancke
127 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Aging 805
- Endocrine and Autonomic Systems 474
- Molecular Biology 4.8k
- Immunology 1.4k
- Animal Science and Zoology 432
Countries citing papers authored by Bart Deplancke
This map shows the geographic impact of Bart Deplancke'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 Bart Deplancke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Deplancke more than expected).
Fields of papers citing papers by Bart Deplancke
This network shows the impact of papers produced by Bart Deplancke. 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 Bart Deplancke. The network helps show where Bart Deplancke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bart Deplancke, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2022 | 14 | |
| 8 | Live-seq enables temporal transcriptomic recording of single cellsbreakdown → | 2022 | 155 |
| 9 | 2022 | 8 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 62 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 21 | |
| 17 | 2017 | 116 | |
| 18 | 2017 | 87 | |
| 19 | 2017 | 5 | |
| 20 | 2009 | 14 |
About Bart Deplancke
Bart Deplancke is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Biological Psychiatry and Immunology, having authored 130 papers that have together received 8.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), RNA Research and Splicing (22 papers), Single-cell and spatial transcriptomics (15 papers), Adipose Tissue and Metabolism (14 papers), CRISPR and Genetic Engineering (13 papers), Gene Regulatory Network Analysis (13 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Aging (805 citations), Endocrine and Autonomic Systems (474 citations), Molecular Biology (4.8k citations), Immunology (1.4k citations) and Animal Science and Zoology (432 citations). Bart Deplancke has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include H. Rex Gaskins, Albertha J.M. Walhout, Vincent Gardeux, Daniel Alpern, Heidi A. Tissenbaum, Arnab Mukhopadhyay, Sunil K. Raghav, Petra Schwalie, Willy Verstraete and Korneel Hens. Their work appears in journals such as Nature Communications, Cell Reports, PLoS Genetics, eLife and Nucleic Acids Research.
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.