Anna Bajer
- Parasitology top 0.1%
- Infectious Diseases top 0.5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Ecology top 5%
- Genetics top 5%
- Co-authors
- E. SińskiJerzy M. BehnkeRenata Welc-FalęciakMałgorzata BednarskaEwa J. MierzejewskaAgnieszka PawełczykMohammed AlsarrafDorota Dwużnik-Szarek
- Topics
- Vector-borne infectious diseases (68 papers)Viral Infections and Vectors (56 papers)Parasitic Infections and Diagnostics (32 papers)
- Partner nations
- PolandUnited KingdomEgypt
In The Last Decade
Anna Bajer
142 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 92
- Parasitology 2.6k
- Infectious Diseases 2.1k
- Ecology, Evolution, Behavior and Systematics 853
- Ecology 640
- Genetics 455
Countries citing papers authored by Anna Bajer
This map shows the geographic impact of Anna Bajer'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 Bajer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bajer more than expected).
Fields of papers citing papers by Anna Bajer
This network shows the impact of papers produced by Anna Bajer. 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 Bajer. The network helps show where Anna Bajer may publish in the future.
Co-authorship network of co-authors of Anna Bajer
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Bajer. A scholar is included among the top collaborators of Anna Bajer 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 Anna Bajer. Anna Bajer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 51 | |
| 11 | 6 | |
| 12 | 31 | |
| 13 | Phylogenetic analyses of Bartonella sp. (Bacteria) of rodents from four separated valleys in Sinai Mountains (Egypt) | 1 |
| 14 | Wykrywanie pierwotniaków Cryptosporidium spp. w próbach środowiskowych | 0 |
| 15 | Asymptomatic babesiosis as a cause of splenomegaly and splenectomy in a dog. | 6 |
| 16 | 40 | |
| 17 | Molekularne badania inwazji Cryptosporidium spp. | 3 |
| 18 | Wspolwystepownie Cryptosporidium parvum, Giardia spp. i helmintow w populacjach drobnych gryzoni | 1 |
| 19 | Blood parasites in a wild rodent community of Mazury lakes District, Poland | 3 |
| 20 | Wildlife rodents from different habitats as a reservoir for Cryptosporidium parvum | 16 |
About Anna Bajer
Anna Bajer is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 151 papers that have together received 3.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (68 papers), Viral Infections and Vectors (56 papers) and Parasitic Infections and Diagnostics (32 papers). The work is most often cited by research in Parasitology (2.6k citations), Infectious Diseases (2.1k citations) and Ecology, Evolution, Behavior and Systematics (853 citations). Anna Bajer has collaborated with scholars based in Poland, United Kingdom and Egypt. Frequent co-authors include E. Siński, Jerzy M. Behnke, Renata Welc-Falęciak, Małgorzata Bednarska, Ewa J. Mierzejewska, Agnieszka Pawełczyk, Mohammed Alsarraf, Dorota Dwużnik-Szarek, Anna Rodo and Anna Paziewska. Their work appears in journals such as Blood, The Journal of Immunology 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.