Jan Attig
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
Papers in
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- RNA Research and Splicing 13
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 7
- 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)Hansruedi Mathys (1 shared paper)Witold Filipowicz (1 shared paper)Marina Chekulaeva (1 shared paper)Roy Parker (1 shared paper)Christopher R. Sibley (3 shared papers)
- Journals
- eLife (3 papers)Genome biology (2 papers)Cell (2 papers)Nature Genetics (1 paper)Methods (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jan Attig
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 405
- Neurology 346
- Genetics 233
- Molecular Biology 1.5k
- Immunology 223
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 378 | |
| 2 | 2013 | 312 | |
| 3 | 2011 | 287 | |
| 4 | 2021 | 129 | |
| 5 | 2015 | 117 | |
| 6 | 2014 | 99 | |
| 7 | 2018 | 98 | |
| 8 | 2017 | 84 | |
| 9 | 2019 | 74 | |
| 10 | 2020 | 66 | |
| 11 | 2017 | 61 | |
| 12 | 2016 | 50 | |
| 13 | 2019 | 48 | |
| 14 | 2018 | 41 | |
| 15 | 2018 | 34 | |
| 16 | 2017 | 28 | |
| 17 | 2016 | 19 | |
| 18 | 2023 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2019 | 17 |
About Jan Attig
Jan Attig is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Epidemiology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (7 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), RNA regulation and disease (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 (405 citations), Neurology (346 citations), Genetics (233 citations), Molecular Biology (1.5k citations) and Immunology (223 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, Hansruedi Mathys, Witold Filipowicz, Marina Chekulaeva, Roy Parker, Christopher R. Sibley, Ina Huppertz and George R. Young. Their work appears in journals such as eLife, Genome biology, Cell, Nature Genetics and Methods.
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.