Micol Silic‐Benussi

1.5k citations
38 papers · 1.2k indexed · h-index 19
Topics
T-cell and Retrovirus Studies (17 papers)Vector-Borne Animal Diseases (13 papers)Animal Disease Management and Epidemiology (12 papers)

In The Last Decade

Micol Silic‐Benussi

37 papers receiving 1.2k citations

Peers

Micol Silic‐Benussi
Comparison fields: 5 of 84
  • Molecular Biology 549
  • Immunology 503
  • Agronomy and Crop Science 334
  • Cancer Research 326
  • Ecology, Evolution, Behavior and Systematics 315
Replace Makoto Yoshimitsu with:
Makoto Yoshimitsu Japan
Niclas Setterblad France
Daniel Bertolette United States
Penny B. Svetlik United States
Toshifumi Hara Japan
Sylvain Lefort France
Michael F. Clarke United States
Guijie Guo China
C. Lagrou France
I M Verma United States
Micol Silic‐Benussi relative to Makoto Yoshimitsu Japan Makoto Yoshimitsu's profile →
Citations per field
00.5×2.7×
Makoto Yoshimitsu · 1×
Citations per year

Countries citing papers authored by Micol Silic‐Benussi

Since Specialization
Citations

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

Fields of papers citing papers by Micol Silic‐Benussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micol Silic‐Benussi. 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 Micol Silic‐Benussi. The network helps show where Micol Silic‐Benussi may publish in the future.

Co-authorship network of co-authors of Micol Silic‐Benussi

This figure shows the co-authorship network connecting the top 25 collaborators of Micol Silic‐Benussi. A scholar is included among the top collaborators of Micol Silic‐Benussi 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 Micol Silic‐Benussi. Micol Silic‐Benussi 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 5
2 4
3 116
4 8
5 12
6 27
7 18
8 32
9 45
10 9
11 11
12 234
13 34
14 22
15 14
16 40
17 48
18 37
19 61
20 12

About Micol Silic‐Benussi

Micol Silic‐Benussi is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (17 papers), Vector-Borne Animal Diseases (13 papers) and Animal Disease Management and Epidemiology (12 papers). The work is most often cited by research in Agronomy and Crop Science (334 citations), Immunology (503 citations) and Cancer Research (326 citations). Micol Silic‐Benussi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Vincenzo Ciminale, Donna M. D’Agostino, Ilaria Cavallari, Vittoria Raimondi, Francesco Ciccarese, Stefano Indraccolo, Hajime Hiraragi, Michael D. Lairmore, Luigi Chieco‐Bianchi and Elisabetta Zulato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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