Gabriella E. Ode

914 citations
53 papers · 644 · h-index 12

Impact in

  • Surgery top 10%
    • Knee injuries and reconstruction techniques
    • Shoulder Injury and Treatment
    • Surgical Simulation and Training
    • Diversity and Career in Medicine

Papers in

    • Diversity and Career in Medicine 14
    • Shoulder Injury and Treatment 19
    • Knee injuries and reconstruction techniques 4
    • Surgical Simulation and Training 3

Gabriella E. Ode

40 papers receiving 614 citations

Peers

Gabriella E. Ode
Comparison fields: 5 of 55
  • Surgery 357
  • Gender Studies 92
  • Emergency Medicine 38
  • Hematology 40
  • Critical Care and Intensive Care Medicine 12
Replace Craig L. Israelite with:
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Citations per field
00.5×5×11.5×
Craig L. Israelite · 1×
Citations per year

Countries citing papers authored by Gabriella E. Ode

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella E. Ode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriella E. Ode. 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 Gabriella E. Ode. The network helps show where Gabriella E. Ode may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201564
3 201664
4 202051
5 202145
6 201640
7 202135
8 202228
9 202127
10 201621
11 201819
12 202017
13 202112
14 202111
15 202111
16 202010
17 20218
18 20217
19 20196
20 20185

About Gabriella E. Ode

Gabriella E. Ode is a scholar working on Gender Studies, Surgery, Rheumatology, Anesthesiology and Pain Medicine and Emergency Medicine, having authored 53 papers that have together received 644 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (19 papers), Diversity and Career in Medicine (14 papers), Knee injuries and reconstruction techniques (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Surgical Simulation and Training (3 papers), Healthcare Policy and Management (2 papers), Innovations in Medical Education (2 papers) and Health disparities and outcomes (1 paper). The work is most often cited by research in Surgery (357 citations), Gender Studies (92 citations), Emergency Medicine (38 citations), Hematology (40 citations) and Critical Care and Intensive Care Medicine (12 citations). Gabriella E. Ode has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Rachel B. Seymour, Jaysson T. Brooks, Eric W. Carson, Sue E. Leurgans, Elizabeth F. Shewman, Vincent M. Wang, Scott E. Porter, Geoffrey S. Van Thiel, Brian J. Cole and Michael J. Bosse. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Journal of Bone and Joint Surgery, The American Journal of Sports Medicine, Orthopaedic Journal of Sports Medicine and Current Reviews in Musculoskeletal Medicine.

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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