Silvia Fallarini

1.3k citations
51 papers · 1.0k · h-index 20

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Pharmacological Receptor Mechanisms and Effects 4
    • Immune Cell Function and Interaction 11

Silvia Fallarini

50 papers receiving 1.0k citations

Peers

Silvia Fallarini
Comparison fields: 5 of 101
  • Biological Psychiatry 139
  • Behavioral Neuroscience 54
  • Immunology 182
  • Organic Chemistry 215
  • Molecular Biology 390
Replace Ashutosh Tripathi with:
Ashutosh Tripathi United States
Kak‐Shan Shia Taiwan
Ignacio Encı́o Spain
Alain Michel France
Di Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by Silvia Fallarini

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Fallarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Silvia Fallarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvia Fallarini Line = papers co-authored together Silvia Fallarini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009116
2 2010100
3 200568
4 201659
5 201247
6 200947
7 202044
8 200841
9 201038
10 201234
11 200726
12 201825
13 200824
14 201523
15 200722
16 200921
17 201521
18 201720
19 201919
20 201419

About Silvia Fallarini

Silvia Fallarini is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Carbohydrate Chemistry and Synthesis (9 papers), Glycosylation and Glycoproteins Research (8 papers), Boron Compounds in Chemistry (8 papers), Tryptophan and brain disorders (8 papers), Pneumonia and Respiratory Infections (5 papers), Organoboron and organosilicon chemistry (5 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). The work is most often cited by research in Biological Psychiatry (139 citations), Behavioral Neuroscience (54 citations), Immunology (182 citations), Organic Chemistry (215 citations) and Molecular Biology (390 citations). Silvia Fallarini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Grazia Lombardi, Giovanni Lombardi, Luigi Lay, Luigi Panza, Alberto Minassi, Gianluca Miglio, Claudia de Lalla, Federica Compostella, Angela Amoruso and Claudio Bardelli. Their work appears in journals such as The Journal of Organic Chemistry, Bioorganic & Medicinal Chemistry, Biochemical and Biophysical Research Communications, British Journal of Pharmacology and Molecules.

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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