Chiara D’Onofrio

56 total papers · 483 total citations
41 papers, 349 citations indexed

About

Chiara D’Onofrio is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chiara D’Onofrio has authored 41 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 16 papers in Agronomy and Crop Science and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chiara D’Onofrio's work include T-cell and Retrovirus Studies (20 papers), Animal Disease Management and Epidemiology (16 papers) and Vector-Borne Animal Diseases (8 papers). Chiara D’Onofrio is often cited by papers focused on T-cell and Retrovirus Studies (20 papers), Animal Disease Management and Epidemiology (16 papers) and Vector-Borne Animal Diseases (8 papers). Chiara D’Onofrio collaborates with scholars based in Italy, Austria and Germany. Chiara D’Onofrio's co-authors include R. Cortese, Vittorio Colantuoni, Enzo Bonmassar, Francesca Paradisi, Ornella Franzese, Antonella Puglianiello, Carla Amici, Marie‐Luise Lohmann‐Matthes, Ester Alvino and Giulia Lanzilli and has published in prestigious journals such as The EMBO Journal, Blood and ACS Applied Materials & Interfaces.

In The Last Decade

Chiara D’Onofrio

40 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Chiara D’Onofrio	162	133	79	62	39	41	349
Françoise Dubois	113 0.7×	43 0.3×	31 0.4×	52 0.8×	21 0.5×	26	342
Yasuharu Yamamoto	84 0.5×	97 0.7×	26 0.3×	30 0.5×	46 1.2×	36	337
Juliana Echevarria‐Lima	132 0.8×	149 1.1×	38 0.5×	32 0.5×	13 0.3×	35	395
I. L. Gol’dman	165 1.0×	116 0.9×	24 0.3×	20 0.3×	83 2.1×	36	391
Brenda Alston‐Mills	148 0.9×	61 0.5×	29 0.4×	13 0.2×	52 1.3×	29	389
Huifang Lv	88 0.5×	59 0.4×	107 1.4×	28 0.5×	24 0.6×	25	300
Quan Zhang	144 0.9×	175 1.3×	32 0.4×	19 0.3×	10 0.3×	22	401
Yingqi Zhu	159 1.0×	63 0.5×	31 0.4×	15 0.2×	20 0.5×	34	396
Jiaxin Jin	143 0.9×	40 0.3×	26 0.3×	21 0.3×	13 0.3×	34	342
Yu Cai	99 0.6×	48 0.4×	11 0.1×	41 0.7×	17 0.4×	39	363

Countries citing papers authored by Chiara D’Onofrio

Since Specialization

Citations

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

Fields of papers citing papers by Chiara D’Onofrio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiara D’Onofrio. 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 Chiara D’Onofrio. The network helps show where Chiara D’Onofrio may publish in the future.

Co-authorship network of co-authors of Chiara D’Onofrio

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara D’Onofrio. A scholar is included among the top collaborators of Chiara D’Onofrio 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 Chiara D’Onofrio. Chiara D’Onofrio 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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