D. Savva

1.5k citations
70 papers · 1.1k · h-index 19

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
  • Virology top 10%

Papers in

    • Protein Interaction Studies and Fluorescence Analysis 5
    • RNA and protein synthesis mechanisms 4
    • Animal Genetics and Reproduction 9

D. Savva

63 papers receiving 1.0k citations

Peers

D. Savva
Comparison fields: 5 of 136
  • Parasitology 276
  • Virology 44
  • Genetics 214
  • Health, Toxicology and Mutagenesis 96
  • Epidemiology 212
Replace Ruth E. Fowler with:
Ruth E. Fowler United Kingdom
Daiji Endoh Japan
George L. Foley United States
Maiko Watanabe Japan
Joseph G. Zinkl United States
Roberto Bermúdez Spain
Mark D. Driscoll United States
M. Svoboda Czechia
Wes Baumgartner United States
D. Savva relative to Ruth E. Fowler United Kingdom Ruth E. Fowler's profile →
Citations per field
00.5×3.7×
Ruth E. Fowler · 1×
Citations per year

Countries citing papers authored by D. Savva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. Savva Line = papers co-authored together D. Savva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990111
2 198782
3 199880
4 202273
5 199158
6 200557
7 199350
8 198945
9 200044
10 199042
11 199135
12 198429
13 199626
14 202125
15 200025
16 198422
17 198622
18 198920
19 199218
20 199615

About D. Savva

D. Savva is a scholar working on Molecular Biology, Genetics, Epidemiology, Parasitology and Health, Toxicology and Mutagenesis, having authored 70 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), Protein Interaction Studies and Fluorescence Analysis (5 papers), Environmental Toxicology and Ecotoxicology (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Parasitology (276 citations), Virology (44 citations), Genetics (214 citations), Health, Toxicology and Mutagenesis (96 citations) and Epidemiology (212 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, Francesco Amenta, Giulio Nittari, Barry Perry, C. J. Skidmore, Seyed Khosrow Tayebati and Daniele Tomassoni. Their work appears in journals such as Biochemical Society Transactions, Microbiology, FEBS Letters, Ecotoxicology and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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.

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