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Researcher · Spectrum Research (United States) · United States

Erika Brodt

Erika Brodt publishes mostly in Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, on topics such as Spine and Intervertebral Disc Pathology, Musculoskeletal pain and rehabilitation and Cervical and Thoracic Myelopathy.

OpenAlex
World rank
#1,155,599
of 7,710,434 ranked researchers
Rank in United States
#371,982
of 1,627,098
Works
114
Citations
3.4k
Citations per work
29.4
h-index
23
i10-index 32Top 12% in Surgery
Erika Brodt

What does Erika Brodt research?

Erika Brodt's work is mostly in Medicine (47%), Economics, Econometrics and Finance (5%), Decision Sciences (5%).

Health Sciences: 54 works · 47.5% of their workMedicine: 54 works · 47.5% of their workSurgery: 20 works · 17.3% of their workCardiology and Cardiovascular Medicine: 12 works · 10.8% of their workPathology and Forensic Medicine: 12 works · 10.8% of their workPharmacology: 10 works · 8.6% of their workEverything else: 49 works · 42.8% of their workSocial Sciences: 11 works · 9.7% of their workEconomics, Econometrics and Finance: 6 works · 5.0% of their workEconomics and Econometrics: 6 works · 5.0% of their workDecision Sciences: 5 works · 4.7% of their workStatistics, Probability and Uncertainty: 5 works · 4.7% of their workTHEIR WORKErika Brodt114works
Health Sciences47%Social Sciences10%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine5447.5%
  2. Everything else4942.8%
    1. Economics, Econometrics and Finance65.0%
    2. Decision Sciences54.7%
  1. 1Surgery17% of their works
  2. 2Pathology and Forensic Medicine11% of their works
  3. 3Cardiology and Cardiovascular Medicine11% of their works
  4. 4Pharmacology9% of their works
  5. 5Economics and Econometrics5% of their works
  6. 6Statistics, Probability and Uncertainty5% of their works

Research topics

Which keywords describe Erika Brodt's research?

The keywords of their largest research topics: Degenerative Disc Disease, Low Back Pain, Chronic Pain, Intervertebral Disc, Lumbar Disc Degeneration, Anterior Cervical Discectomy, Catheter Ablation and Cervical Spine Surgery.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Degenerative Disc Disease432 topics
  2. Low Back Pain432 topics
  3. Chronic Pain282 topics
  4. Intervertebral Disc231 topic
  5. Lumbar Disc Degeneration231 topic
  6. Anterior Cervical Discectomy201 topic
  7. Catheter Ablation202 topics
  8. Cervical Spine Surgery201 topic
  9. Disability201 topic
  10. Global Burden201 topic
  11. Anticoagulant Therapy111 topic
  12. Atrial Fibrillation111 topic
  13. Arrhythmias91 topic
  14. Cost-effectiveness Analysis91 topic
  15. Meta-Analysis91 topic
  16. PRISMA Statement91 topic
  17. Quality of Life91 topic
  18. Ventricular Tachycardia91 topic
  19. Central Sensitization81 topic
  20. Neuropathic Pain81 topic

Where does Erika Brodt work?

Erika Brodt's main affiliation in the publication record is Spectrum Research (United States), United States.

How many publications and citations does Erika Brodt have?

OpenAlex counts 114 works and 3,351 citations for Erika Brodt, an h-index of 23, ranking #1,155,599 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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