Andrzej Płucienniczak
- Molecular Biology top 10%
- Biotechnology top 1%
- Plant Science top 10%
- Genetics top 10%
- Immunology
- Co-authors
- Grażyna PłucienniczakJózef KapustaTomasz PniewskiAndrzej B. LegockiHilary KoprowskiA. ModelskaVidadi YusibovMarie-Claude Letellier
- Topics
- Transgenic Plants and Applications (10 papers)Bacterial Genetics and Biotechnology (10 papers)RNA and protein synthesis mechanisms (9 papers)
- Partner nations
- PolandUnited StatesFrance
In The Last Decade
Andrzej Płucienniczak
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 886
- Biotechnology 451
- Plant Science 307
- Genetics 283
- Immunology 199
Countries citing papers authored by Andrzej Płucienniczak
This map shows the geographic impact of Andrzej Płucienniczak'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 Andrzej Płucienniczak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Płucienniczak more than expected).
Fields of papers citing papers by Andrzej Płucienniczak
This network shows the impact of papers produced by Andrzej Płucienniczak. 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 Andrzej Płucienniczak. The network helps show where Andrzej Płucienniczak may publish in the future.
Co-authorship network of co-authors of Andrzej Płucienniczak
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Płucienniczak. A scholar is included among the top collaborators of Andrzej Płucienniczak 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 Andrzej Płucienniczak. Andrzej Płucienniczak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 31 | |
| 3 | 54 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | Uses of monoclonal antibodies in medicine | 0 |
| 7 | Non-deterministic finite state automata built on DNA | 2 |
| 8 | Molecular inference network experimental approximation | 1 |
| 9 | 13 | |
| 10 | Molecular neuron network experimental approximation | 3 |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | Polymerase chain reaction: amplification and sequencing of the VP1 gene of foot-and-mouth disease virus type A | 1 |
| 15 | 3 | |
| 16 | Antigenic typing polish isolates of canine parvovirus | 4 |
| 17 | 11 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 8 |
About Andrzej Płucienniczak
Andrzej Płucienniczak is a scholar working on Biotechnology, Virology and Genetics, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (10 papers), Bacterial Genetics and Biotechnology (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Biotechnology (451 citations), Virology (104 citations) and Molecular Biology (886 citations). Andrzej Płucienniczak has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Grażyna Płucienniczak, Józef Kapusta, Tomasz Pniewski, Andrzej B. Legocki, Hilary Koprowski, A. Modelska, Vidadi Yusibov, Marie-Claude Letellier, Magdalena Figlerowicz and Rolf E. Streeck. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.
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.