Diego Sbardella

2.0k citations
67 papers · 1.5k · h-index 22

Impact in

    • Endoplasmic Reticulum Stress and Disease
  • Neurology top 10%
    • Neurological Disorders and Treatments

Papers in

    • Ubiquitin and proteasome pathways 22
    • Endoplasmic Reticulum Stress and Disease 11
    • Hemoglobin structure and function 7

Diego Sbardella

63 papers receiving 1.5k citations

Peers

Diego Sbardella
Comparison fields: 5 of 118
  • Cell Biology 234
  • Neurology 108
  • Ophthalmology 114
  • Cancer Research 187
  • Physiology 293
Replace Grazia Raffaella Tundo with:
Grazia Raffaella Tundo Italy
Stefani N. Thomas United States
Xiang Lin China
Laura Papucci Italy
Jin Won Cho South Korea
Vincenzo Flati Italy
Barbara J. Klocke United States
Dae Young Hur South Korea
Candace Guerrero United States
Diego Sbardella relative to Grazia Raffaella Tundo Italy Grazia Raffaella Tundo's profile →
Citations per field
00.5×1.5×2.4×
Grazia Raffaella Tundo · 1×
Citations per year

Countries citing papers authored by Diego Sbardella

Since Specialization
Citations

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

Fields of papers citing papers by Diego Sbardella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diego Sbardella, 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 Diego Sbardella Line = papers co-authored together Diego Sbardella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011189
2 201782
3 202081
4 202074
5 200663
6 201261
7 201952
8 202148
9 200847
10 201239
11 201737
12 201737
13 201834
14 201933
15 201131
16 201528
17 201028
18 201526
19 202125
20 201324

About Diego Sbardella

Diego Sbardella is a scholar working on Molecular Biology, Cell Biology, Oncology, Ophthalmology and Physiology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Peptidase Inhibition and Analysis (11 papers), Glaucoma and retinal disorders (8 papers), Protease and Inhibitor Mechanisms (8 papers), Retinal Diseases and Treatments (7 papers), Hemoglobin structure and function (7 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Cell Biology (234 citations), Neurology (108 citations), Ophthalmology (114 citations), Cancer Research (187 citations) and Physiology (293 citations). Diego Sbardella has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Massimo Coletta, Stefano Marini, Grazia Raffaella Tundo, Chiara Ciaccio, Magda Gioia, Giovanni Francesco Fasciglione, Giuseppe Grasso, Donato Di Pierro, Danilo Milardi and Francesco Oddone. Their work appears in journals such as JBIC Journal of Biological Inorganic Chemistry, PLoS ONE, Scientific Reports, International Journal of Molecular Sciences and Chemical Science.

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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