Annamaria Naggi

6.3k citations
144 papers · 4.8k indexed · h-index 36
Topics
Proteoglycans and glycosaminoglycans research (88 papers)Glycosylation and Glycoproteins Research (53 papers)Carbohydrate Chemistry and Synthesis (30 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Annamaria Naggi

142 papers receiving 4.6k citations

Peers

Annamaria Naggi
Comparison fields: 5 of 137
  • Cell Biology 2.5k
  • Molecular Biology 2.3k
  • Organic Chemistry 854
  • Hematology 672
  • Surgery 527
Replace Benito Casu with:
Benito Casu Italy
Ganesh Venkataraman United States
Youngro Byun South Korea
Susanne Alban Germany
Kevin R. Holme Canada
Bo Yang China
Birger Blombäck Sweden
Neha S. Gandhi Australia
Duncan S. Pepper United Kingdom
Roger L. Lundblad United States
Annamaria Naggi relative to Benito Casu Italy Benito Casu's profile →
Citations per field
00.5×1.5×
Benito Casu · 1×
Citations per year

Countries citing papers authored by Annamaria Naggi

Since Specialization
Citations

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

Fields of papers citing papers by Annamaria Naggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamaria Naggi

This figure shows the co-authorship network connecting the top 25 collaborators of Annamaria Naggi. A scholar is included among the top collaborators of Annamaria Naggi 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 Annamaria Naggi. Annamaria Naggi 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 1
3 12
4 12
5 30
6 14
7 25
8 19
9 63
10 31
11 209
12 110
13 228
14 29
15 6
16 6
17 48
18 36
19 3
20
Dipyridamole-.BETA.-cyclodextrin complex: Preparation and characterization.
6

About Annamaria Naggi

Annamaria Naggi is a scholar working on Cell Biology, Hematology and Internal Medicine, having authored 144 papers that have together received 4.8k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (88 papers), Glycosylation and Glycoproteins Research (53 papers) and Carbohydrate Chemistry and Synthesis (30 papers). The work is most often cited by research in Cell Biology (2.5k citations), Internal Medicine (247 citations) and Hematology (672 citations). Annamaria Naggi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giangiacomo Torri, Benito Casu, Marco Guerrini, Israël Vlodavsky, Neta Ilan, B. Focher, Giuseppe Cassinelli, Ram Sasisekharan, A. Cosani and M. Terbojevich. 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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