Ray Gani

411 citations
17 papers · 321 · h-index 9

Impact in

Papers in

Ray Gani

15 papers receiving 301 citations

Peers

Ray Gani
Comparison fields: 5 of 53
  • Internal Medicine 31
  • Pathology and Forensic Medicine 78
  • Cardiology and Cardiovascular Medicine 96
  • Economics and Econometrics 90
  • Epidemiology 103
Replace Ellen Maxwell with:
Ellen Maxwell Australia
Harkirat Singh India
J. P. O'Malley United States
Marie-Joëlle Jabagi France
Daniela Gey United States
Vinícius Lins Ferreira Brazil
Ruoyan Gai Tobe China
Eva Iglesias Flores Spain
Matthew T Crim United States
S. Karie France
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Citations per field
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Citations per year

Countries citing papers authored by Ray Gani

Since Specialization
Citations

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

Fields of papers citing papers by Ray Gani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201299
2 200891
3 202022
4 201221
5 202217
6 201017
7 202013
8 202112
9 202210
10 20077
11
A retrospective real-world study of dapagliflozin versus other oral antidiabetic drugs added to metformin in patients with type 2 diabetes.
20186
12
The Cost-Effectiveness of Universal Varicella Vaccination in Italy: A Model-Based Assessment of Vaccination Strategies
20202
13 20232
14 20231
15 20181
16 20250
17 20080

About Ray Gani

Ray Gani is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Health and Infectious Diseases, having authored 17 papers that have together received 321 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Delphi Technique in Research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Respiratory Support and Mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Internal Medicine (31 citations), Pathology and Forensic Medicine (78 citations), Cardiology and Cardiovascular Medicine (96 citations), Economics and Econometrics (90 citations) and Epidemiology (103 citations). Ray Gani has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Steve Hughes, David O. Bates, John Kerrigan, Gavin Giovannoni, Feng Pan, Martín Cowie, Jonathan Plumb, Paul Robinson, Sonja Sorensen and Jesús Ruiz-Aragón. Their work appears in journals such as Vaccines, PharmacoEconomics, Value in Health, Primary Care Respiratory Journal and Human Vaccines & Immunotherapeutics.

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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