Anna Maria Masci

1.2k citations
43 papers · 695 indexed · h-index 14
Topics
Biomedical Text Mining and Ontologies (11 papers)Immune Cell Function and Interaction (9 papers)Bioinformatics and Genomic Networks (7 papers)

In The Last Decade

Anna Maria Masci

39 papers receiving 676 citations

Peers

Anna Maria Masci
Comparison fields: 5 of 96
  • Molecular Biology 324
  • Immunology 267
  • Virology 102
  • Neurology 82
  • Epidemiology 75
Replace Francesca Incardona with:
Francesca Incardona Italy
D Hafler United States
Christopher Szeto Australia
Xiaobo Zhou China
Ravshan Ataullakhanov Russia
Gang Xin United States
Donato Calista Italy
Bie Verbist Belgium
Michael Tacke Germany
Anna Maria Masci relative to Francesca Incardona Italy Francesca Incardona's profile →
Citations per field
00.5×4.6×
Francesca Incardona · 1×
Citations per year

Countries citing papers authored by Anna Maria Masci

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maria Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Maria Masci. 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 Anna Maria Masci. The network helps show where Anna Maria Masci may publish in the future.

Co-authorship network of co-authors of Anna Maria Masci

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Masci. A scholar is included among the top collaborators of Anna Maria Masci 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 Anna Maria Masci. Anna Maria Masci 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 0
2 2
3 1
4 7
5 1
6 6
7 10
8 19
9 24
10 96
11 26
12 13
13 43
14 4
15 30
16 10
17 30
18 67
19 8
20
Self-reactive antibody expression by human carcinoma cells engineered with monoclonal antibody genes.
9

About Anna Maria Masci

Anna Maria Masci is a scholar working on Immunology, Virology and Neurology, having authored 43 papers that have together received 695 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Immune Cell Function and Interaction (9 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Virology (102 citations), Immunology (267 citations) and Neurology (82 citations). Anna Maria Masci has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Luigi Racioppi, Serafino Zappacosta, Lindsay G. Cowell, Chris Mungall, Alexander D. Diehl, Judith A. Blake, Mario Galgani, Terrence F. Meehan, Laura Vitiello and Liliana Montella. 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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