Melissa Scribani

2.0k citations
79 papers · 1.3k · h-index 20

Impact in

Papers in

Melissa Scribani

73 papers receiving 1.3k citations

Peers

Melissa Scribani
Comparison fields: 5 of 104
  • Epidemiology 373
  • Radiological and Ultrasound Technology 34
  • Surgery 220
  • General Health Professions 125
  • Pharmacy 21
Replace Kia Fatt Quek with:
Kia Fatt Quek Malaysia
John Owen United States
Serge Fanello France
Lyubov L. Tmanova United States
Jacqueline Grupp‐Phelan United States
Leanne Jones United Kingdom
Arnona Ziv Israel
Arnaldo Prata‐Barbosa Brazil
Filippo Festini Italy
Patrick Mattis United States
Melissa Scribani relative to Kia Fatt Quek Malaysia Kia Fatt Quek's profile →
Citations per field
00.5×1.5×1.9×
Kia Fatt Quek · 1×
Citations per year

Countries citing papers authored by Melissa Scribani

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Scribani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014266
2 201862
3 201958
4 201949
5 201545
6 201544
7 201239
8 201635
9 201433
10 201932
11 201431
12 201829
13 201929
14 201728
15 201725
16 202123
17 202022
18 201822
19 202121
20 201620

About Melissa Scribani

Melissa Scribani is a scholar working on Public Health, Environmental and Occupational Health, Radiological and Ultrasound Technology, Surgery, Social Psychology and Epidemiology, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (5 papers), Injury Epidemiology and Prevention (5 papers), Occupational Health and Safety Research (4 papers), Agriculture and Farm Safety (4 papers), Telemedicine and Telehealth Implementation (4 papers), Human-Animal Interaction Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and LGBTQ Health, Identity, and Policy (4 papers). The work is most often cited by research in Epidemiology (373 citations), Radiological and Ultrasound Technology (34 citations), Surgery (220 citations), General Health Professions (125 citations) and Pharmacy (21 citations). Melissa Scribani has collaborated with scholars based in United States, Sweden and Pakistan. Frequent co-authors include Anne Gadomski, Paul Jenkins, Nicole L. Krupa, Jocelyn R. Wittstein, Karn Wijarnpreecha, Brian C. Lau, John J. May, Umair Iqbal, Donghee Kim and Aijaz Ahmed. Their work appears in journals such as American Journal of Industrial Medicine, The American Journal of Sports Medicine, Transgender Health, Journal of Primary Care & Community Health and Nutrition Journal.

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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