Daniel Panne
- Immunology top 5%
- interferon and immune responses 7
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 14
- RNA and protein synthesis mechanisms 10
- RNA Research and Splicing 7
- Protein Degradation and Inhibitors 6
- DNA Repair Mechanisms 5
- Ubiquitin and proteasome pathways 5
- Cancer Research top 10%
- Oncology top 10%
- Genetics top 10%
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Tom ManiatisStephen C. HarrisonEsther OrtegaJonathan GaucherKyle MuirYan LiCarmen Aguilar‐GurrieriSaadi Khochbin
- Journals
- The EMBO Journal (5 papers)Nature Structural & Molecular Biology (3 papers)Nature Communications (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Daniel Panne
32 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 797
- Molecular Biology 2.2k
- Cancer Research 279
- Oncology 354
- Genetics 265
Countries citing papers authored by Daniel Panne
This map shows the geographic impact of Daniel Panne'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 Daniel Panne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Panne more than expected).
Fields of papers citing papers by Daniel Panne
This network shows the impact of papers produced by Daniel Panne. 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 Daniel Panne. The network helps show where Daniel Panne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Panne, 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 | 2 | |
| 2 | 2022 | 34 | |
| 3 | 2020 | 40 | |
| 4 | The structural basis for cohesin–CTCF-anchored loopsbreakdown → | 2020 | 292 |
| 5 | 2018 | 57 | |
| 6 | 2018 | 60 | |
| 7 | 2018 | 121 | |
| 8 | 2016 | 35 | |
| 9 | 2016 | 123 | |
| 10 | 2016 | 58 | |
| 11 | 2013 | 200 | |
| 12 | 2013 | 186 | |
| 13 | 2013 | 1 | |
| 14 | 2010 | 142 | |
| 15 | 2009 | 29 | |
| 16 | 2007 | 476 | |
| 17 | 2007 | 137 | |
| 18 | 2004 | 142 | |
| 19 | 2000 | 60 | |
| 20 | 1998 | 21 |
About Daniel Panne
Daniel Panne is a scholar working on Immunology, Molecular Biology, Cancer Research, Genetics and Endocrinology, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), RNA and protein synthesis mechanisms (10 papers), interferon and immune responses (7 papers), RNA Research and Splicing (7 papers), Protein Degradation and Inhibitors (6 papers), DNA Repair Mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Immunology (797 citations), Molecular Biology (2.2k citations), Cancer Research (279 citations), Oncology (354 citations) and Genetics (265 citations). Daniel Panne has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Tom Maniatis, Stephen C. Harrison, Esther Ortega, Jonathan Gaucher, Kyle Muir, Yan Li, Carmen Aguilar‐Gurrieri, Saadi Khochbin, Thomas A. Bickle and Elisabeth A. Raleigh. Their work appears in journals such as The EMBO Journal, Nature Structural & Molecular Biology, Nature Communications, Cell Reports and Nature.
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.