Anna Gajda
Impact in
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
- Pharmacology top 5%
- Antibiotics Pharmacokinetics and Efficacy
Papers in
- Pharmacology 40
- Antibiotics Pharmacokinetics and Efficacy 37
- Pollution 21
- Pharmaceutical and Antibiotic Environmental Impacts 20
- Co-authors
- Andrzej Posyniak (38 shared papers)Małgorzata Gbylik‐Sikorska (32 shared papers)Jan Żmudzki (7 shared papers)Grzegorz Tomczyk (4 shared papers)Artur Jabłoński (6 shared papers)Marcin Drąg (4 shared papers)Marcin Poręba (2 shared papers)Guy S. Salvesen (2 shared papers)
In The Last Decade
Anna Gajda
69 papers receiving 792 citations
Peers
Comparison fields: 5 of 100
- Pollution 194
- Pharmacology 206
- Molecular Medicine 49
- Analytical Chemistry 90
- Microbiology 54
Countries citing papers authored by Anna Gajda
This map shows the geographic impact of Anna Gajda'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 Gajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gajda more than expected).
Fields of papers citing papers by Anna Gajda
This network shows the impact of papers produced by Anna Gajda. 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 Gajda. The network helps show where Anna Gajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Gajda, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 79 | |
| 2 | 2012 | 43 | |
| 3 | 2017 | 37 | |
| 4 | 2013 | 34 | |
| 5 | 2014 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2023 | 27 | |
| 9 | 2017 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2018 | 23 | |
| 12 | 2011 | 18 | |
| 13 | 2018 | 18 | |
| 14 | 2012 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2015 | 14 |
About Anna Gajda
Anna Gajda is a scholar working on Pharmacology, Pollution, Food Science, Analytical Chemistry and Microbiology, having authored 71 papers that have together received 805 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (37 papers), Pharmaceutical and Antibiotic Environmental Impacts (20 papers), Pesticide Residue Analysis and Safety (15 papers), Microbial infections and disease research (10 papers), Antibiotic Resistance in Bacteria (8 papers), Analytical Methods in Pharmaceuticals (7 papers), Analytical Chemistry and Chromatography (5 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Pollution (194 citations), Pharmacology (206 citations), Molecular Medicine (49 citations), Analytical Chemistry (90 citations) and Microbiology (54 citations). Anna Gajda has collaborated with scholars based in Poland, Italy and Hungary. Frequent co-authors include Andrzej Posyniak, Małgorzata Gbylik‐Sikorska, Jan Żmudzki, Grzegorz Tomczyk, Artur Jabłoński, Marcin Drąg, Marcin Poręba, Guy S. Salvesen, Efstratios Stratikos and Kamila Mitrowska. Their work appears in journals such as Molecules, Food Chemistry, Journal of Veterinary Pharmacology and Therapeutics, Food Additives & Contaminants Part A and Journal of Chromatography A.
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.