Imre Boros
Impact in
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
- Immunology top 5%
- T-cell and Retrovirus Studies
Papers in
-
- Genomics and Chromatin Dynamics 25
- RNA Research and Splicing 19
- RNA and protein synthesis mechanisms 18
- RNA modifications and cancer 13
-
- Animal Disease Management and Epidemiology 12
- Co-authors
- Pál Venetianer (14 shared papers)Chou‐Zen Giam (7 shared papers)John N Brady (3 shared papers)Dávid Kovács (8 shared papers)Mónika Kiricsi (9 shared papers)Zoltán Kónya (7 shared papers)Nóra Igaz (8 shared papers)Orbán Komonyi (16 shared papers)
- Journals
- Molecular and Cellular Biology (10 papers)Nucleic Acids Research (8 papers)Gene (7 papers)Scientific Reports (6 papers)PLoS ONE (5 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Imre Boros
118 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 127
- Agronomy and Crop Science 456
- Immunology 677
- Molecular Biology 1.9k
- Ecology, Evolution, Behavior and Systematics 498
- Aging 44
Countries citing papers authored by Imre Boros
This map shows the geographic impact of Imre Boros'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 Imre Boros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imre Boros more than expected).
Fields of papers citing papers by Imre Boros
This network shows the impact of papers produced by Imre Boros. 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 Imre Boros. The network helps show where Imre Boros may publish in the future.
Co-authors
The 25 scholars most cited alongside Imre Boros, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 248 | |
| 2 | 1988 | 213 | |
| 3 | 2017 | 143 | |
| 4 | 2003 | 134 | |
| 5 | 2016 | 108 | |
| 6 | 1994 | 98 | |
| 7 | 1979 | 92 | |
| 8 | 1984 | 90 | |
| 9 | 2018 | 89 | |
| 10 | 1994 | 87 | |
| 11 | 1989 | 82 | |
| 12 | 2002 | 74 | |
| 13 | 2015 | 69 | |
| 14 | 1988 | 65 | |
| 15 | 2020 | 64 | |
| 16 | 2019 | 63 | |
| 17 | 2005 | 63 | |
| 18 | 2003 | 63 | |
| 19 | 1991 | 61 | |
| 20 | 2002 | 58 |
About Imre Boros
Imre Boros is a scholar working on Molecular Biology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Immunology and Genetics, having authored 121 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (19 papers), RNA and protein synthesis mechanisms (18 papers), RNA modifications and cancer (13 papers), T-cell and Retrovirus Studies (13 papers), Bacterial Genetics and Biotechnology (12 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (12 papers). The work is most often cited by research in Agronomy and Crop Science (456 citations), Immunology (677 citations), Molecular Biology (1.9k citations), Ecology, Evolution, Behavior and Systematics (498 citations) and Aging (44 citations). Imre Boros has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Pál Venetianer, Chou‐Zen Giam, John N Brady, Dávid Kovács, Mónika Kiricsi, Zoltán Kónya, Nóra Igaz, Orbán Komonyi, Tibor Pankotai and Kuan-Teh Jeang. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, Gene, Scientific Reports and PLoS ONE.
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.