Neda Pecori

858 citations
14 papers · 650 · h-index 9

Impact in

Papers in

Neda Pecori

13 papers receiving 628 citations

Peers

Neda Pecori
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 187
  • Endocrinology, Diabetes and Metabolism 131
  • Physiology 187
  • Nephrology 46
  • Clinical Biochemistry 32
Replace H. Steinberg with:
H. Steinberg United States
B. W. Lassers Sweden
M M Lyons United States
Markku Asola Finland
Amy M. Jonk Netherlands
J R Attali France
Helena Tuunanen Finland
Glaucia S. Tres Brazil
G. C. Viberti United Kingdom
Alfredo Quiñones Galvan Italy
Neda Pecori relative to H. Steinberg United States H. Steinberg's profile →
Citations per field
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H. Steinberg · 1×
Citations per year

Countries citing papers authored by Neda Pecori

Since Specialization
Citations

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

Fields of papers citing papers by Neda Pecori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1991146
2 1996142
3 199076
4 199568
5 199350
6 199849
7 199744
8 199837
9 199324
10 19968
11 19962
12 19942
13 19861
14
Significance and clinical usefulness of low density lipoprotein electrophoretic mobility for the evaluation of nonenzymatic glycosylation.
19861

About Neda Pecori

Neda Pecori is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 650 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Cardiovascular Function and Risk Factors (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (2 papers), Diabetes Management and Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Potassium and Related Disorders (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (187 citations), Endocrinology, Diabetes and Metabolism (131 citations), Physiology (187 citations), Nephrology (46 citations) and Clinical Biochemistry (32 citations). Neda Pecori has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Andrea Natali, Eleuterio Ferrannini, Ele Ferrannini, G. Buzzigoli, Alfredo Quiñones Galvan, Paolo G. Camici, Antonio L’Abbate, Paolo Marraccini, Roberto Lorenzoni and Mario Marzilli. Their work appears in journals such as Hypertension, Clinical Science, European Journal of Clinical Investigation, Journal of the American College of Cardiology and Diabetes.

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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