Anna Didkowska
Impact in
- Microbiology top 10%
- Microbial infections and disease research
- Small Animals top 5%
- Helminth infection and control
- Infectious Diseases and Mycology
Papers in
-
- Tuberculosis Research and Epidemiology 18
- Epidemiology 23
- Mycobacterium research and diagnosis 21
- Co-authors
- Krzysztof Anusz (44 shared papers)Monika Krajewska‐Wędzina (21 shared papers)Daniel Klich (20 shared papers)Wanda Olech (20 shared papers)Ewa Augustynowicz‐Kopeć (13 shared papers)Magdalena Rzewuska (7 shared papers)Ewelina Kwiecień (8 shared papers)W. Ray Waters (4 shared papers)
- Journals
- Animals (5 papers)Pathogens (5 papers)BMC Veterinary Research (4 papers)International Journal for Parasitology Parasites and Wildlife (3 papers)PLoS ONE (3 papers)
- Partner nations
- PolandUnited StatesSpain
In The Last Decade
Anna Didkowska
45 papers receiving 251 citations
Peers
Comparison fields: 5 of 49
- Microbiology 52
- Small Animals 59
- Infectious Diseases 101
- Endocrinology 18
- Epidemiology 105
Countries citing papers authored by Anna Didkowska
This map shows the geographic impact of Anna Didkowska'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 Didkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Didkowska more than expected).
Fields of papers citing papers by Anna Didkowska
This network shows the impact of papers produced by Anna Didkowska. 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 Didkowska. The network helps show where Anna Didkowska may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Didkowska, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2020 | 20 | |
| 3 | 2020 | 19 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Anna Didkowska
Anna Didkowska is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Small Animals and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 259 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (21 papers), Tuberculosis Research and Epidemiology (18 papers), Microbial infections and disease research (14 papers), Animal Disease Management and Epidemiology (6 papers), Helminth infection and control (5 papers), Infectious Diseases and Mycology (5 papers), Zoonotic diseases and public health (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Microbiology (52 citations), Small Animals (59 citations), Infectious Diseases (101 citations), Endocrinology (18 citations) and Epidemiology (105 citations). Anna Didkowska has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Krzysztof Anusz, Monika Krajewska‐Wędzina, Daniel Klich, Wanda Olech, Ewa Augustynowicz‐Kopeć, Magdalena Rzewuska, Ewelina Kwiecień, W. Ray Waters, Michele A. Miller and Konstantin P. Lyashchenko. Their work appears in journals such as Animals, Pathogens, BMC Veterinary Research, International Journal for Parasitology Parasites and Wildlife 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.