Eric P. Nawrocki
- Molecular Biology top 0.2%
- Ecology top 0.2%
- Plant Science top 0.5%
- Food Science top 0.5%
- Genetics top 1%
- Co-authors
- Sean R. EddyDiana L. KolbeVyacheslav ChetverninLeonid ZaslavskyMichael DiCuccioAlexandre LomsadzeTatiana TatusovaMark Borodovsky
- Topics
- RNA and protein synthesis mechanisms (21 papers)Genomics and Phylogenetic Studies (21 papers)RNA modifications and cancer (13 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eric P. Nawrocki
30 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 11.1k
- Ecology 4.3k
- Plant Science 3.6k
- Food Science 1.4k
- Genetics 1.4k
Countries citing papers authored by Eric P. Nawrocki
This map shows the geographic impact of Eric P. Nawrocki'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 Eric P. Nawrocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric P. Nawrocki more than expected).
Fields of papers citing papers by Eric P. Nawrocki
This network shows the impact of papers produced by Eric P. Nawrocki. 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 Eric P. Nawrocki. The network helps show where Eric P. Nawrocki may publish in the future.
Co-authorship network of co-authors of Eric P. Nawrocki
This figure shows the co-authorship network connecting the top 25 collaborators of Eric P. Nawrocki. A scholar is included among the top collaborators of Eric P. Nawrocki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric P. Nawrocki. Eric P. Nawrocki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 30 | |
| 3 | 0 | |
| 4 | 77 | |
| 5 | 5 | |
| 6 | Rfam 14: expanded coverage of metagenomic, viral and microRNA familiesbreakdown → | 584 |
| 7 | 42 | |
| 8 | Rfam 13.0: shifting to a genome-centric resource for non-coding RNA familiesbreakdown → | 639 |
| 9 | 51 | |
| 10 | NCBI prokaryotic genome annotation pipelinebreakdown → | 4619 |
| 11 | 270 | |
| 12 | Rfam 12.0: updates to the RNA families databasebreakdown → | 805 |
| 13 | 55 | |
| 14 | 31 | |
| 15 | Rfam 11.0: 10 years of RNA familiesbreakdown → | 615 |
| 16 | 64 | |
| 17 | 307 | |
| 18 | Infernal 1.0: inference of RNA alignmentsbreakdown → | 1065 |
| 19 | Rfam: updates to the RNA families databasebreakdown → | 733 |
| 20 | 246 |
About Eric P. Nawrocki
Eric P. Nawrocki is a scholar working on Molecular Biology, Ecology and Infectious Diseases, having authored 31 papers that have together received 16.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Genomics and Phylogenetic Studies (21 papers) and RNA modifications and cancer (13 papers). The work is most often cited by research in Endocrinology (973 citations), Ecology (4.3k citations) and Molecular Biology (11.1k citations). Eric P. Nawrocki has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sean R. Eddy, Diana L. Kolbe, Vyacheslav Chetvernin, Leonid Zaslavsky, Michael DiCuccio, Alexandre Lomsadze, Tatiana Tatusova, Mark Borodovsky, James Ostell and Azat Badretdin. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.