Sara La Manna

1.5k citations
64 papers · 1.2k indexed · h-index 20
Topics
Cytokine Signaling Pathways and Interactions (15 papers)Alzheimer's disease research and treatments (10 papers)Computational Drug Discovery Methods (9 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

Sara La Manna

60 papers receiving 1.2k citations

Peers

Sara La Manna
Comparison fields: 5 of 104
  • Molecular Biology 546
  • Oncology 279
  • Biomaterials 222
  • Immunology 144
  • Organic Chemistry 139
Replace Aihua Zou with:
Aihua Zou China
Paola Milla Italy
Florian Rothweiler Germany
Benjamin Bruno United States
Pasqualina Liana Scognamiglio Italy
Sushilkumar Patil India
Sergey A. Samsonov Poland
Derek J. Quinn United Kingdom
Congcong Lin China
Dipesh Baradia India
Sara La Manna relative to Aihua Zou China Aihua Zou's profile →
Citations per field
00.5×4.2×
Aihua Zou · 1×
Citations per year

Countries citing papers authored by Sara La Manna

Since Specialization
Citations

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

Fields of papers citing papers by Sara La Manna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara La Manna

This figure shows the co-authorship network connecting the top 25 collaborators of Sara La Manna. A scholar is included among the top collaborators of Sara La Manna 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 La Manna. Sara La Manna 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 0
3 5
4 3
5 14
6 6
7 10
8 7
9 5
10 6
11 28
12 10
13 5
14 24
15 9
16 20
17 21
18 11
19 19
20 21

About Sara La Manna

Sara La Manna is a scholar working on Oncology, Hematology and Computational Theory and Mathematics, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Alzheimer's disease research and treatments (10 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Pharmaceutical Science (119 citations), Biomaterials (222 citations) and Oncology (279 citations). Sara La Manna has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Daniela Marasco, Concetta Di Natale, Daniele Florio, Valentina Onesto, Paolo A. Netti, Elena Lagreca, Raffaele Vecchione, Ettore Novellino, Anna Maria Malfitano and Marilisa Leone. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

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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