D. Savva
Impact in
- Parasitology top 2%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Virology top 10%
Papers in ⓘ
-
- Protein Interaction Studies and Fluorescence Analysis 5
- Genetics 14
- Animal Genetics and Reproduction 9
- Co-authors
- Richard Holliman (7 shared papers)J.D. Johnson (6 shared papers)J. Mandelstam (2 shared papers)Julie Johnson (3 shared papers)Giulio Nittari (6 shared papers)Francesco Amenta (2 shared papers)Barry Perry (5 shared papers)C. J. Skidmore (6 shared papers)
- Journals
- Biochemical Society Transactions (5 papers)Microbiology (3 papers)Ecotoxicology (3 papers)FEBS Letters (3 papers)International Journal of Environmental Research and Public Health (2 papers)
- Partner nations
- United KingdomItalyCyprus
In The Last Decade
D. Savva
62 papers receiving 993 citations
Peers
Comparison fields: 5 of 140
- Parasitology 276
- Virology 51
- Genetics 213
- Health, Toxicology and Mutagenesis 94
- Epidemiology 234
Countries citing papers authored by D. Savva
This map shows the geographic impact of D. Savva'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 D. Savva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Savva more than expected).
Fields of papers citing papers by D. Savva
This network shows the impact of papers produced by D. Savva. 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 D. Savva. The network helps show where D. Savva may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Savva, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 111 | |
| 2 | 1987 | 82 | |
| 3 | 1998 | 80 | |
| 4 | 2022 | 69 | |
| 5 | 1991 | 57 | |
| 6 | 2005 | 55 | |
| 7 | 1993 | 50 | |
| 8 | 1989 | 45 | |
| 9 | 2000 | 43 | |
| 10 | 1990 | 42 | |
| 11 | 1991 | 35 | |
| 12 | 1984 | 29 | |
| 13 | 1996 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2000 | 25 | |
| 16 | 1984 | 22 | |
| 17 | 1986 | 22 | |
| 18 | 1989 | 20 | |
| 19 | 1992 | 18 | |
| 20 | 1996 | 15 |
About D. Savva
D. Savva is a scholar working on Molecular Biology, Genetics, Epidemiology, Parasitology and Health, Toxicology and Mutagenesis, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (10 papers), Animal Genetics and Reproduction (9 papers), Herpesvirus Infections and Treatments (8 papers), Environmental Toxicology and Ecotoxicology (5 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Parasitology (276 citations), Virology (51 citations), Genetics (213 citations), Health, Toxicology and Mutagenesis (94 citations) and Epidemiology (234 citations). D. Savva has collaborated with scholars based in United Kingdom, Italy and Cyprus. Frequent co-authors include Richard Holliman, J.D. Johnson, J. Mandelstam, Julie Johnson, Giulio Nittari, Francesco Amenta, Barry Perry, C. J. Skidmore, Seyed Khosrow Tayebati and Daniele Tomassoni. Their work appears in journals such as Biochemical Society Transactions, Microbiology, Ecotoxicology, FEBS Letters and International Journal of Environmental Research and Public Health.
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.