Zina Model

482 citations
21 papers · 276 · h-index 10

Impact in

Papers in

Zina Model

20 papers receiving 270 citations

Peers

Zina Model
Comparison fields: 5 of 54
  • Endocrine and Autonomic Systems 45
  • Rehabilitation 42
  • Surgery 145
  • Cellular and Molecular Neuroscience 50
  • Pharmacy 6
Replace Colombe Otis with:
Colombe Otis Canada
Rodrigo Tomazini Martins Australia
Luther C. Jones Australia
Mónica Danùs Spain
C. Hasse Germany
Alyssa Huang United States
Nari Choi South Korea
Kelly M. Bui United States
Marcel P.J. Garssen Netherlands
Monika Michałowska‐Sawczyn Poland
Zina Model relative to Colombe Otis Canada Colombe Otis's profile →
Citations per field
00.5×8.4×
Colombe Otis · 1×
Citations per year

Countries citing papers authored by Zina Model

Since Specialization
Citations

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

Fields of papers citing papers by Zina Model

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 201541
3 201539
4 201221
5 201520
6 201617
7 201516
8 201613
9 201812
10 202110
11 20158
12 20215
13 20165
14 20234
15 20234
16
Latin America Indicator Research Coalition examines prehospital care using a trauma systems applicationof LCoGS indicator 1.
20173
17 20233
18 20222
19 20231
20 20241

About Zina Model

Zina Model is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Rehabilitation and Endocrine and Autonomic Systems, having authored 21 papers that have together received 276 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (9 papers), Nerve Injury and Rehabilitation (4 papers), Peripheral Nerve Disorders (3 papers), Circadian rhythm and melatonin (2 papers), Elbow and Forearm Trauma Treatment (2 papers), Global Health and Surgery (1 paper), Injury Epidemiology and Prevention (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (45 citations), Rehabilitation (42 citations), Surgery (145 citations), Cellular and Molecular Neuroscience (50 citations) and Pharmacy (6 citations). Zina Model has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Steve K. Lee, Scott W. Wolfe, Samir K. Trehan, Joseph LeSauter, Rae Silver, Christopher J. Dy, Carol A. Mancuso, Matthew P. Butler, David J. Byun and David R. Weaver. Their work appears in journals such as The Journal Of Hand Surgery, Hand, Hand Clinics, Global Health Research and Policy and PLoS ONE.

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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