Waldemar Wierzba
- Infectious Diseases top 5%
- Oncology
- Public Health, Environmental and Occupational Health top 10%
- Neurology top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Jarosław PinkasMateusz JankowskiMariusz GujskiWojciech Stefan ZgliczyńskiAndrzej ŚliwczyńskiŁukasz SzumowskiEdward FranekFilip Raciborski
- Topics
- COVID-19 Clinical Research Studies (15 papers)COVID-19 and healthcare impacts (11 papers)Smoking Behavior and Cessation (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PolandUnited StatesNetherlands
In The Last Decade
Waldemar Wierzba
103 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 139
- Infectious Diseases 251
- Oncology 152
- Public Health, Environmental and Occupational Health 143
- Neurology 139
- Health, Toxicology and Mutagenesis 129
Countries citing papers authored by Waldemar Wierzba
This map shows the geographic impact of Waldemar Wierzba'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 Waldemar Wierzba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waldemar Wierzba more than expected).
Fields of papers citing papers by Waldemar Wierzba
This network shows the impact of papers produced by Waldemar Wierzba. 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 Waldemar Wierzba. The network helps show where Waldemar Wierzba may publish in the future.
Co-authorship network of co-authors of Waldemar Wierzba
This figure shows the co-authorship network connecting the top 25 collaborators of Waldemar Wierzba. A scholar is included among the top collaborators of Waldemar Wierzba 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 Waldemar Wierzba. Waldemar Wierzba 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 | 14 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 29 | |
| 10 | 32 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | Epidemiologia cukrzycy w Polsce w latach 2014–2017 | 1 |
| 17 | 1 | |
| 18 | Orzecznictwo lekarskie w kontekście poczucia bezpieczeństwa zdrowotnego | 0 |
| 19 | [The influence of a tibolone therapy on endometrium in postmenopausal women]. | 0 |
| 20 | [Life expectancy in the Plock area caused by lymphatic and erythrocyte line leukemia]. | 1 |
About Waldemar Wierzba
Waldemar Wierzba is a scholar working on Modeling and Simulation, Obstetrics and Gynecology and Infectious Diseases, having authored 116 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (15 papers), COVID-19 and healthcare impacts (11 papers) and Smoking Behavior and Cessation (8 papers). The work is most often cited by research in Infectious Diseases (251 citations), Modeling and Simulation (50 citations) and Health, Toxicology and Mutagenesis (129 citations). Waldemar Wierzba has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Jarosław Pinkas, Mateusz Jankowski, Mariusz Gujski, Wojciech Stefan Zgliczyński, Andrzej Śliwczyński, Łukasz Szumowski, Edward Franek, Filip Raciborski, Radosław Sierpiński and Iwona Bojar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.