B. Gajda
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Ovarian function and disorders
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- Reproductive Biology and Fertility
Papers in
-
- Reproductive Biology and Fertility 40
- Genetics 23
- Animal Genetics and Reproduction 22
- Co-authors
- Z. Smorąg (52 shared papers)Marek Romek (13 shared papers)Jolanta Jura (9 shared papers)L. Kątska-Książkiewicz (5 shared papers)B. Ryńska (6 shared papers)Mariusz Kępczyński (2 shared papers)Monika Trzcińska (1 shared paper)Ryszard Słomski (6 shared papers)
In The Last Decade
B. Gajda
62 papers receiving 619 citations
Peers
Comparison fields: 5 of 75
- Reproductive Medicine 303
- Public Health, Environmental and Occupational Health 462
- Genetics 173
- Physiology 26
- Biochemistry 35
Countries citing papers authored by B. Gajda
This map shows the geographic impact of B. 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 B. Gajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Gajda more than expected).
Fields of papers citing papers by B. Gajda
This network shows the impact of papers produced by B. 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 B. Gajda. The network helps show where B. Gajda may publish in the future.
Co-authors
The 25 scholars most cited alongside B. 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 56 | |
| 2 | 1989 | 45 | |
| 3 | 2004 | 38 | |
| 4 | 2008 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2010 | 28 | |
| 8 | 2006 | 24 | |
| 9 | 2003 | 23 | |
| 10 | 2007 | 22 | |
| 11 | Distribution of porcine endogenous retroviruses (PERVs) DNA in organs of a domestic pig. | 2005 | 21 |
| 12 | 1994 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2010 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 1991 | 13 | |
| 17 | 2004 | 13 | |
| 18 | 2008 | 12 | |
| 19 | 2011 | 12 | |
| 20 | 2012 | 11 |
About B. Gajda
B. Gajda is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Reproductive Medicine and Surgery, having authored 66 papers that have together received 654 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (40 papers), Animal Genetics and Reproduction (22 papers), Sperm and Testicular Function (16 papers), Pluripotent Stem Cells Research (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Xenotransplantation and immune response (4 papers), CRISPR and Genetic Engineering (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Reproductive Medicine (303 citations), Public Health, Environmental and Occupational Health (462 citations), Genetics (173 citations), Physiology (26 citations) and Biochemistry (35 citations). B. Gajda has collaborated with scholars based in Poland, Canada and France. Frequent co-authors include Z. Smorąg, Marek Romek, Jolanta Jura, L. Kątska-Książkiewicz, B. Ryńska, Mariusz Kępczyński, Monika Trzcińska, Ryszard Słomski, Jacek Jura and Marek M. Pienkowski. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Reproduction in Domestic Animals, Fertility and Sterility and Annals of Animal Science.
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.