Jan Attig
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
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- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 8
- RNA regulation and disease 4
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Co-authors
- Jernej Ule (10 shared papers)Julian König (4 shared papers)George Kassiotis (10 shared papers)Roy Parker (1 shared paper)Marina Chekulaeva (1 shared paper)Witold Filipowicz (1 shared paper)Hansruedi Mathys (1 shared paper)Christopher R. Sibley (3 shared papers)
- Journals
- eLife (3 papers)Cell (2 papers)Genome biology (2 papers)Blood (1 paper)Nature Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jan Attig
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 416
- Genetics 241
- Neurology 337
- Molecular Biology 1.5k
- Immunology 226
Countries citing papers authored by Jan Attig
This map shows the geographic impact of Jan Attig'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 Jan Attig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Attig more than expected).
Fields of papers citing papers by Jan Attig
This network shows the impact of papers produced by Jan Attig. 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 Jan Attig. The network helps show where Jan Attig may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Attig, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 365 | |
| 2 | 2013 | 299 | |
| 3 | 2011 | 279 | |
| 4 | 2021 | 120 | |
| 5 | 2015 | 113 | |
| 6 | 2018 | 97 | |
| 7 | 2014 | 96 | |
| 8 | 2017 | 79 | |
| 9 | 2019 | 72 | |
| 10 | 2020 | 65 | |
| 11 | 2017 | 58 | |
| 12 | 2016 | 49 | |
| 13 | 2019 | 47 | |
| 14 | 2018 | 40 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 28 | |
| 17 | 2016 | 19 | |
| 18 | 2016 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2023 | 16 |
About Jan Attig
Jan Attig is a scholar working on Molecular Biology, Immunology, Cancer Research, Plant Science and Epidemiology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (8 papers), RNA regulation and disease (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Cancer Research (416 citations), Genetics (241 citations), Neurology (337 citations), Molecular Biology (1.5k citations) and Immunology (226 citations). Jan Attig has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jernej Ule, Julian König, George Kassiotis, Roy Parker, Marina Chekulaeva, Witold Filipowicz, Hansruedi Mathys, Christopher R. Sibley, Ina Huppertz and George R. Young. Their work appears in journals such as eLife, Cell, Genome biology, Blood and Nature Genetics.
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.