G. Czaplicki

48 total papers · 1.1k total citations
27 papers, 707 citations indexed

About

G. Czaplicki is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Parasitology. According to data from OpenAlex, G. Czaplicki has authored 27 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, Evolution, Behavior and Systematics, 12 papers in Infectious Diseases and 12 papers in Parasitology. Recurrent topics in G. Czaplicki's work include Vector-Borne Animal Diseases (13 papers), Viral Infections and Vectors (9 papers) and Animal Disease Management and Epidemiology (8 papers). G. Czaplicki is often cited by papers focused on Vector-Borne Animal Diseases (13 papers), Viral Infections and Vectors (9 papers) and Animal Disease Management and Epidemiology (8 papers). G. Czaplicki collaborates with scholars based in Belgium, France and United Kingdom. G. Czaplicki's co-authors include Claude Saegerman, Sarah Porter, Jacques Mainil, Étienne Thiry, Raphaël R. Guatteo, Fabiana Dal Pozzo, Kris De Clercq, Frank Vandenbussche, Corinne Sailleau and Niko Speybroeck and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Emerging infectious diseases.

In The Last Decade

G. Czaplicki

27 papers receiving 680 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Czaplicki	375	374	342	237	107	27	707
Alfonso Carbonero	246 0.7×	335 0.9×	267 0.8×	187 0.8×	114 1.1×	44	793
C. Luzzago	302 0.8×	405 1.1×	150 0.4×	334 1.4×	66 0.6×	53	712
A. Bidovec	157 0.4×	320 0.9×	318 0.9×	71 0.3×	89 0.8×	28	650
Jorge Paniagua	95 0.3×	337 0.9×	158 0.5×	124 0.5×	146 1.4×	46	727
María José Cubero Pablo	133 0.4×	377 1.0×	231 0.7×	172 0.7×	245 2.3×	30	842
Saúl Jiménez‐Ruiz	153 0.4×	352 0.9×	163 0.5×	178 0.8×	128 1.2×	59	655
Fabiana Dal Pozzo	402 1.1×	350 0.9×	87 0.3×	378 1.6×	246 2.3×	52	910
Francesco Tolari	166 0.4×	309 0.8×	92 0.3×	240 1.0×	316 3.0×	52	856
Paola De Santis	298 0.8×	367 1.0×	64 0.2×	280 1.2×	66 0.6×	42	873
F. Hill	321 0.9×	232 0.6×	126 0.4×	402 1.7×	86 0.8×	51	817

Countries citing papers authored by G. Czaplicki

Since Specialization

Citations

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

Fields of papers citing papers by G. Czaplicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Czaplicki

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

All Works

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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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