Cristina Tringali

1.9k citations
47 papers · 1.5k indexed · h-index 24
Topics
Glycosylation and Glycoproteins Research (18 papers)Erythrocyte Function and Pathophysiology (11 papers)Sphingolipid Metabolism and Signaling (10 papers)
Partner nations
ItalyUnited StatesJapan

In The Last Decade

Cristina Tringali

46 papers receiving 1.5k citations

Peers

Cristina Tringali
Comparison fields: 5 of 101
  • Molecular Biology 1.1k
  • Immunology 328
  • Cell Biology 309
  • Physiology 267
  • Epidemiology 207
Replace Jonathan Clark with:
Jonathan Clark United Kingdom
Orie Tajima Japan
Mika Ikeda Japan
Brian C. Capell United States
Gilles Ponzio France
Satoru Sugimoto Japan
Christopher B. Jackson Finland
Hedwich F. Kuipers United States
Takatoshi Nakagawa Japan
Volkan Seyrantepe Türkiye
Cristina Tringali relative to Jonathan Clark United Kingdom Jonathan Clark's profile →
Citations per field
00.5×1.5×1.9×
Jonathan Clark · 1×
Citations per year

Countries citing papers authored by Cristina Tringali

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Tringali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Tringali

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Tringali. A scholar is included among the top collaborators of Cristina Tringali 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 Cristina Tringali. Cristina Tringali 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 5
3 5
4 30
5 43
6 30
7 25
8 33
9 15
10 7
11 18
12 15
13 22
14 22
15 11
16 8
17 69
18 17
19 26
20 6

About Cristina Tringali

Cristina Tringali is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Erythrocyte Function and Pathophysiology (11 papers) and Sphingolipid Metabolism and Signaling (10 papers). The work is most often cited by research in Cell Biology (309 citations), Molecular Biology (1.1k citations) and Immunology (328 citations). Cristina Tringali has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Bruno Venerando, Guido Tettamanti, Nadia Papini, Paola Giussani, Eugenio Monti, Luigi Anastasia, Laura Riboni, Paola Viani, Alessandro Prinetti and Paola Fusi. Their work appears in journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

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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