Marco Baccarin

679 total citations
25 papers, 480 citations indexed

About

Marco Baccarin is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, Marco Baccarin has authored 25 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 12 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Marco Baccarin's work include Genomic variations and chromosomal abnormalities (11 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Autism Spectrum Disorder Research (5 papers). Marco Baccarin is often cited by papers focused on Genomic variations and chromosomal abnormalities (11 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Autism Spectrum Disorder Research (5 papers). Marco Baccarin collaborates with scholars based in Italy, United States and Czechia. Marco Baccarin's co-authors include Silvana Guerneri, Donatella Milani, Paola Castronovo, Alessandra Rossini, Antonio M. Persico, Carlo Gaetano, Laura Porretti, Federico Colombo, Maurizio C. Capogrossi and Giulio Pompilio and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cardiovascular Research.

In The Last Decade

Marco Baccarin

25 papers receiving 471 citations

Peers

Marco Baccarin
Comparison fields: 5 of 76
  • Molecular Biology 274
  • Genetics 120
  • Cancer Research 112
  • Surgery 98
  • Genetics 92
Replace Guilai Shi with:
Guilai Shi China
Christopher L. Ricupero United States
Chengjie Lian China
Grace Yoon Canada
Mark W. Youngblood United States
Soo Kyung Koo South Korea
Elicia Estrella United States
Xiu Qin Xu China
M. Pike United Kingdom
Juergen Scharner United Kingdom
Guilai Shi China View profile →
Citations per field, relative to Marco Baccarin
Marco Baccarin · 1×
Citations per year, relative to Marco Baccarin
Marco Baccarin · 1×

Countries citing papers authored by Marco Baccarin

Since Specialization
Citations

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

Fields of papers citing papers by Marco Baccarin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Baccarin

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Baccarin. A scholar is included among the top collaborators of Marco Baccarin 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 Marco Baccarin. Marco Baccarin 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
# Work Indexed citations
1 3
2 4
3 7
4 38
5 21
6 3
7 2
8 19
9 3
10 40
11 6
12 8
13 21
14 8
15 2
16 4
17 9
18 23
19 46
20 97

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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