Angelo Elmi

956 citations
33 papers · 725 · h-index 13

Impact in

Papers in

Angelo Elmi

31 papers receiving 711 citations

Peers

Angelo Elmi
Comparison fields: 5 of 106
  • Health, Toxicology and Mutagenesis 185
  • Orthopedics and Sports Medicine 77
  • Urology 52
  • Environmental Chemistry 68
  • Chemical Health and Safety 4
Replace Hyeong Jun Ahn with:
Hyeong Jun Ahn United States
Kris Thayer United States
Jagteshwar Grewal United States
Cecile A. Laurent United States
Jeffrey M. Saland United States
Alexander Schwartzman United States
Sandy Huey-Jen Hsu Taiwan
Walter Klockenbusch Germany
Charles W. Schauberger United States
Lisa Wernroth Sweden
Angelo Elmi relative to Hyeong Jun Ahn United States Hyeong Jun Ahn's profile →
Citations per field
00.5×6.6×
Hyeong Jun Ahn · 1×
Citations per year

Countries citing papers authored by Angelo Elmi

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Elmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016150
2 2010131
3 2018103
4 200788
5 201234
6 201631
7 201528
8 202118
9 201918
10 201418
11 202016
12 201114
13 201112
14 202011
15 202210
16 20198
17 20225
18 20205
19 20183
20 20213

About Angelo Elmi

Angelo Elmi is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health, Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 33 papers that have together received 725 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers), Injury Epidemiology and Prevention (2 papers), Food Security and Health in Diverse Populations (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Attention Deficit Hyperactivity Disorder (2 papers), Sports injuries and prevention (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (185 citations), Orthopedics and Sports Medicine (77 citations), Urology (52 citations), Environmental Chemistry (68 citations) and Chemical Health and Safety (4 citations). Angelo Elmi has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Ami R. Zota, Robin E. Dodson, Veena Singla, Susanna D. Mitro, Gary Adamkiewicz, Sogol Mostoufi‐Moab, Lucy W. Kibe, Jon M. Burnham, Rachel J. Wetzsteon and Scott I. Zeitlin. Their work appears in journals such as Journal of Child and Adolescent Psychopharmacology, Blood, Addictive Behaviors, American Journal of Perinatology and Patient Education and Counseling.

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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