Charles Rahal

2.0k citations
18 papers · 715 indexed · 2 hit papers · h-index 7
Topics
Global Health Care Issues (3 papers)Insurance, Mortality, Demography, Risk Management (3 papers)Genetic Associations and Epidemiology (2 papers)

In The Last Decade

Charles Rahal

16 papers receiving 692 citations

Hit Papers

A scientometric review of genome-wide association studies20182026202020232018202150100150200250

Peers

Charles Rahal
Comparison fields: 5 of 124
  • Genetics 202
  • General Health Professions 123
  • Sociology and Political Science 103
  • Economics and Econometrics 97
  • Health 88
Replace Maya Sabatello with:
Maya Sabatello United States
Graeme Laurie United Kingdom
Katherine A. Lynch United States
Siddharth Chandra United States
D. Mark Anderson United States
Molly McCarthy Australia
Liliana A. Ponguta United States
Martin Bujard Germany
Shelly R. Hovick United States
William Hobbs United States
Charles Rahal relative to Maya Sabatello United States Maya Sabatello's profile →
Citations per field
00.5×1.5×2.3×
Maya Sabatello · 1×
Citations per year

Countries citing papers authored by Charles Rahal

Since Specialization
Citations

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

Fields of papers citing papers by Charles Rahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Rahal

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Rahal. A scholar is included among the top collaborators of Charles Rahal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Rahal. Charles Rahal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 2
5 1
6 10
7
Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countriesbreakdown →
217
8 3
9 3
10 1
11 3
12
A scientometric review of genome-wide association studiesbreakdown →
251
13 6
14 81
15 91
16 38
17 0
18 3

About Charles Rahal

Charles Rahal is a scholar working on Statistics and Probability, General Social Sciences and Finance, having authored 18 papers that have together received 715 indexed citations. Recurring topics across this work include Global Health Care Issues (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Health (88 citations), Modeling and Simulation (39 citations) and Genetics (202 citations). Charles Rahal has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Melinda Mills, Jonas Schöley, Luyin Zhang, Ridhi Kashyap, Aaron Reeves, Jennifer B. Dowd, José Manuel Aburto, Trifon I. Missov, Ilya Kashnitsky and Magne Flemmen. Their work appears in journals such as The Lancet, PLoS ONE and American Sociological Review.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026