Donn D'Alessio

1.4k citations
38 papers · 974 · h-index 20

Impact in

Papers in

Donn D'Alessio

38 papers receiving 859 citations

Peers

Donn D'Alessio
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 266
  • Infectious Diseases 212
  • Epidemiology 382
  • Genetics 204
  • Cardiology and Cardiovascular Medicine 129
Replace P. Raghupathy with:
P. Raghupathy India
German Tapia Norway
J. Thompson Netherlands
C Fabris Italy
David P. Earle United States
Robert H. Latham United States
Gregory F. Grauer United States
Siriwan Wananukul Thailand
J Janda Czechia
J. C. Guckian United States
Donn D'Alessio relative to P. Raghupathy India P. Raghupathy's profile →
Citations per field
00.5×3.8×
P. Raghupathy · 1×
Citations per year

Countries citing papers authored by Donn D'Alessio

Since Specialization
Citations

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

Fields of papers citing papers by Donn D'Alessio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donn D'Alessio. 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 Donn D'Alessio. The network helps show where Donn D'Alessio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200178
2 197668
3 196960
4 200552
5 198449
6 200646
7 196541
8 198839
9 199139
10 196539
11 199238
12 198136
13 198536
14 199533
15 196632
16 198128
17 198428
18 200724
19 197924
20 199223

About Donn D'Alessio

Donn D'Alessio is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Infectious Diseases and Genetics, having authored 38 papers that have together received 974 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Diabetes and associated disorders (6 papers), Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Diabetes Management and Research (4 papers), Influenza Virus Research Studies (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (266 citations), Infectious Diseases (212 citations), Epidemiology (382 citations), Genetics (204 citations) and Cardiology and Cardiovascular Medicine (129 citations). Donn D'Alessio has collaborated with scholars based in United States, Italy and Slovakia. Frequent co-authors include Catherine Allen, Mari Palta, Claire R. Dick, Tamara J. LeCaire, T. E. Minor, Donald B. Nelson, E. C. Dick, Elmer W. Akin, Ronald Klein and Richard L. Ward. Their work appears in journals such as Diabetes Care, American Journal of Epidemiology, JAMA, Diabetes and Journal of Clinical Microbiology.

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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