Olivia Tuma

403 citations
36 papers · 178 · h-index 9

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 17
    • Cervical and Thoracic Myelopathy 3
    • Scoliosis diagnosis and treatment 3
    • Spinal Fractures and Fixation Techniques 3
    • Anesthesia and Pain Management 2
    • Surgical site infection prevention 1

Olivia Tuma

25 papers receiving 177 citations

Peers

Olivia Tuma
Comparison fields: 5 of 24
  • Pathology and Forensic Medicine 79
  • Health Informatics 3
  • Surgery 48
  • Health 4
  • Pharmacology 6
Replace Omri Maayan with:
Omri Maayan United States
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Sidhant Dalal United States
Gregory Paine United States
Daniel Shinn United States
Akaworn Mahatthanatrakul Thailand
Rupert Dietl Germany
Jannat M. Khan United States
Ki‐Han You South Korea
Jiro Morii Japan
Olivia Tuma relative to Omri Maayan United States Omri Maayan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Olivia Tuma

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Tuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

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About Olivia Tuma

Olivia Tuma is a scholar working on Pathology and Forensic Medicine, Surgery, Anesthesiology and Pain Medicine, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 36 papers that have together received 178 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (17 papers), Cervical and Thoracic Myelopathy (3 papers), Scoliosis diagnosis and treatment (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Anesthesia and Pain Management (2 papers), Pain Management and Treatment (1 paper), Surgical site infection prevention (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (79 citations), Health Informatics (3 citations), Surgery (48 citations), Health (4 citations) and Pharmacology (6 citations). Olivia Tuma has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Kasra Araghi, Sravisht Iyer, Pratyush Shahi, Tejas Subramanian, Evan Sheha, Omri Maayan, James Dowdell, Sheeraz A. Qureshi, Tomoyuki Asada and Eric Y. Stutheit-Zhao. Their work appears in journals such as Spine, The Spine Journal, Journal of Neurosurgery Spine, Clinical Spine Surgery A Spine Publication and Global Spine 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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