Anna Gambin
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
-
- Computational Drug Discovery Methods
Papers in
-
- Metabolomics and Mass Spectrometry Studies 15
- Genomics and Phylogenetic Studies 12
- Gene expression and cancer classification 10
- Machine Learning in Bioinformatics 9
- Spectroscopy 22
- Advanced Proteomics Techniques and Applications 15
- Mass Spectrometry Techniques and Applications 14
- Co-authors
- Błażej Miasojedow (12 shared papers)Michał Startek (15 shared papers)Neo Christopher Chung (2 shared papers)Mateusz Krzysztof Łącki (6 shared papers)Tomasz Gambin (17 shared papers)Paweł Stankiewicz (17 shared papers)Piotr Dittwald (8 shared papers)Jerzy Tiuryn (5 shared papers)
- Journals
- Analytical Chemistry (7 papers)BMC Bioinformatics (5 papers)Journal of the American Society for Mass Spectrometry (4 papers)Bioinformatics (4 papers)Journal of Computational Biology (4 papers)
- Partner nations
- PolandUnited StatesBelgium
In The Last Decade
Anna Gambin
92 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 171
- Molecular Biology 894
- Computational Theory and Mathematics 190
- Spectroscopy 163
- Genetics 273
- Plant Science 348
Countries citing papers authored by Anna Gambin
This map shows the geographic impact of Anna Gambin'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 Anna Gambin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gambin more than expected).
Fields of papers citing papers by Anna Gambin
This network shows the impact of papers produced by Anna Gambin. 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 Anna Gambin. The network helps show where Anna Gambin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Gambin, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | 2016 | 121 | |
| 3 | 2017 | 115 | |
| 4 | 2017 | 110 | |
| 5 | 2006 | 102 | |
| 6 | 2019 | 69 | |
| 7 | 2012 | 63 | |
| 8 | 2015 | 61 | |
| 9 | 2014 | 51 | |
| 10 | 2023 | 51 | |
| 11 | 2012 | 38 | |
| 12 | 2022 | 37 | |
| 13 | 2017 | 36 | |
| 14 | 2012 | 34 | |
| 15 | 2013 | 32 | |
| 16 | 2007 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2013 | 26 | |
| 19 | 2014 | 25 | |
| 20 | 2016 | 25 |
About Anna Gambin
Anna Gambin is a scholar working on Molecular Biology, Spectroscopy, Genetics, Plant Science and Artificial Intelligence, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Mass Spectrometry Techniques and Applications (14 papers), Genomic variations and chromosomal abnormalities (14 papers), Chromosomal and Genetic Variations (14 papers), Genomics and Phylogenetic Studies (12 papers), Gene expression and cancer classification (10 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Molecular Biology (894 citations), Computational Theory and Mathematics (190 citations), Spectroscopy (163 citations), Genetics (273 citations) and Plant Science (348 citations). Anna Gambin has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Błażej Miasojedow, Michał Startek, Neo Christopher Chung, Mateusz Krzysztof Łącki, Tomasz Gambin, Paweł Stankiewicz, Piotr Dittwald, Jerzy Tiuryn, Mikołaj Rybiński and Dirk Valkenborg. Their work appears in journals such as Analytical Chemistry, BMC Bioinformatics, Journal of the American Society for Mass Spectrometry, Bioinformatics and Journal of Computational 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.