Sara Baccarini

14 total papers · 1.5k total citations
11 papers, 1.2k citations indexed

About

Sara Baccarini is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Sara Baccarini has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Sara Baccarini's work include Immune Cell Function and Interaction (4 papers), Viral-associated cancers and disorders (3 papers) and Immunotherapy and Immune Responses (3 papers). Sara Baccarini is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Viral-associated cancers and disorders (3 papers) and Immunotherapy and Immune Responses (3 papers). Sara Baccarini collaborates with scholars based in Italy and United States. Sara Baccarini's co-authors include Yuichiro Honjo, Abbasali Raz, Larry Tait, Pratima Nangia‐Makker, Victor Hogan, Robert S. Bresalier, Filippo Belardelli, Enrico Proietti, Davide Carlei and Carlo Ramoni and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and JNCI Journal of the National Cancer Institute.

In The Last Decade

Sara Baccarini

11 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sara Baccarini 532 491 405 145 141 11 1.2k
Sekhar Majumdar 310 0.6× 169 0.3× 728 1.8× 84 0.6× 227 1.6× 18 1.4k
Markus M. Weck 825 1.6× 281 0.6× 527 1.3× 63 0.4× 172 1.2× 18 1.4k
Jiabin An 189 0.4× 429 0.9× 529 1.3× 52 0.4× 211 1.5× 20 1.1k
Sukadev Lavu 669 1.3× 320 0.7× 563 1.4× 34 0.2× 124 0.9× 14 1.5k
Christof Meischl 302 0.6× 126 0.3× 437 1.1× 163 1.1× 71 0.5× 19 1.1k
Alex Smith 345 0.6× 208 0.4× 948 2.3× 64 0.4× 92 0.7× 9 1.5k
Angela Lewis 331 0.6× 255 0.5× 911 2.2× 65 0.4× 95 0.7× 16 1.5k
Kazuko Sakamoto 117 0.2× 348 0.7× 238 0.6× 121 0.8× 136 1.0× 15 961
Wanida Chearwae 267 0.5× 374 0.8× 657 1.6× 28 0.2× 197 1.4× 17 1.3k
Lyudmila Lyakh 844 1.6× 285 0.6× 485 1.2× 22 0.2× 111 0.8× 19 1.4k

Countries citing papers authored by Sara Baccarini

Since Specialization
Citations

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

Fields of papers citing papers by Sara Baccarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Baccarini

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Baccarini. A scholar is included among the top collaborators of Sara Baccarini 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 Baccarini. Sara Baccarini 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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