Sara Savić

1.7k citations
90 papers · 754 indexed · h-index 17
Topics
Viral Infections and Vectors (33 papers)Vector-borne infectious diseases (28 papers)Vector-Borne Animal Diseases (18 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in MicrobiologyIndustrial Crops and Products

In The Last Decade

Sara Savić

88 papers receiving 740 citations

Peers

Sara Savić
Comparison fields: 5 of 81
  • Infectious Diseases 396
  • Parasitology 352
  • Public Health, Environmental and Occupational Health 263
  • Ecology, Evolution, Behavior and Systematics 190
  • Agronomy and Crop Science 122
Replace Ioana Adriana Matei with:
Ioana Adriana Matei Romania
Márcia Almeida de Melo Brazil
Xin‐Lou Li China
Daniele De Meneghi Italy
Julius Awah‐Ndukum Cameroon
Raafat M. Shaapan Egypt
Gerald Muchemi Kenya
Cátia Marques Portugal
Eric Ogola Kenya
Christiane Maria Barcellos Magalhães da Rocha Brazil
Sara Savić relative to Ioana Adriana Matei Romania Ioana Adriana Matei's profile →
Citations per field
00.5×1.5×2.3×
Ioana Adriana Matei · 1×
Citations per year

Countries citing papers authored by Sara Savić

Since Specialization
Citations

This map shows the geographic impact of Sara Savić'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 Sara Savić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Savić more than expected).

Fields of papers citing papers by Sara Savić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Savić. 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 Sara Savić. The network helps show where Sara Savić may publish in the future.

Co-authorship network of co-authors of Sara Savić

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Savić. A scholar is included among the top collaborators of Sara Savić 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 Sara Savić. Sara Savić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 3
4 3
5 4
6 7
7 13
8 3
9 23
10 0
11 8
12 16
13 2
14 30
15 24
16 28
17
Influence of Intensive Animal Breeding to the Appearance of Infectious Diseases (Zoonoses)
2
18 44
19 43
20
A PRELIMINARY TRIAL TO EVALUATE THE GAMMA- INTERFERON ASSAY FOR THE DETECTION OF TUBERCULOSIS IN CATTLE UNDER LOCAL CONDITIONS IN SERBIA
2

About Sara Savić

Sara Savić is a scholar working on Parasitology, Infectious Diseases and Agronomy and Crop Science, having authored 90 papers that have together received 754 indexed citations. Recurring topics across this work include Viral Infections and Vectors (33 papers), Vector-borne infectious diseases (28 papers) and Vector-Borne Animal Diseases (18 papers). The work is most often cited by research in Parasitology (352 citations), Infectious Diseases (396 citations) and Agronomy and Crop Science (122 citations). Sara Savić has collaborated with scholars based in Serbia, United Kingdom and Italy. Frequent co-authors include Aleksandar Potkonjak, Massimo Canali, Suzana Otašević, Maurizio Aragrande, Barbara Häsler, Alicia Rojas, Yaarit Nachum‐Biala, Ricardo Gutiérrez, Simona Gabrielli and Shimon Harrus. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Industrial Crops and Products.

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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