Saba Sile

1.6k citations
19 papers · 557 · h-index 11

Impact in

Papers in

Saba Sile

19 papers receiving 546 citations

Peers

Saba Sile
Comparison fields: 5 of 86
  • Clinical Biochemistry 64
  • Genetics 89
  • Pathology and Forensic Medicine 145
  • Endocrinology, Diabetes and Metabolism 120
  • Ophthalmology 61
Replace Stefano Di Giulio with:
Stefano Di Giulio Italy
Sandro Feriozzi Italy
Esmeralda Castelblanco Spain
Maria B. Grant United States
Satoshi Yoshiji Japan
Denise D’Andrea United States
Kumiko Torisu Japan
Baoli Liu China
A Warnet France
G Sansone Italy
Saba Sile relative to Stefano Di Giulio Italy Stefano Di Giulio's profile →
Citations per field
00.5×12.2×
Stefano Di Giulio · 1×
Citations per year

Countries citing papers authored by Saba Sile

Since Specialization
Citations

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

Fields of papers citing papers by Saba Sile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014126
2 2007114
3 2021109
4 199755
5 200929
6 200829
7 202118
8 200116
9 200613
10 200713
11 200711
12 20055
13 20085
14 20215
15
Teprotumumab use in a real-world setting: Expanded access program findings
20212
16 20202
17 20222
18 20202
19
Dipeptidyl Peptidase IV in Angiotensin-Converting Enzyme Inhibitor-Associated Angioedema. Commentary
20081

About Saba Sile

Saba Sile is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Ophthalmology, Cardiology and Cardiovascular Medicine and Genetics, having authored 19 papers that have together received 557 indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (6 papers), Ion Transport and Channel Regulation (5 papers), Glaucoma and retinal disorders (4 papers), Ion channel regulation and function (3 papers), Peptidase Inhibition and Analysis (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Clinical Biochemistry (64 citations), Genetics (89 citations), Pathology and Forensic Medicine (145 citations), Endocrinology, Diabetes and Metabolism (120 citations) and Ophthalmology (61 citations). Saba Sile has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Robert J. Holt, Chang Yu, Raymond S. Douglas, Terry J. Smith, George J. Kahaly, James V. Gainer, Nancy J. Brown, John Nadeau, James Brian Byrd and Albert Adam. Their work appears in journals such as Hypertension, The Lancet Diabetes & Endocrinology, Journal of Hypertension, Current Opinion in Nephrology & Hypertension and Journal of Vascular Surgery.

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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