Maria Schwabe

737 total citations · 1 hit paper
32 papers, 485 citations indexed

About

Maria Schwabe is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Maria Schwabe has authored 32 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Maria Schwabe's work include Orthopaedic implants and arthroplasty (18 papers), Hip disorders and treatments (17 papers) and Total Knee Arthroplasty Outcomes (9 papers). Maria Schwabe is often cited by papers focused on Orthopaedic implants and arthroplasty (18 papers), Hip disorders and treatments (17 papers) and Total Knee Arthroplasty Outcomes (9 papers). Maria Schwabe collaborates with scholars based in United States, Germany and United Kingdom. Maria Schwabe's co-authors include Calvin K. Lai, Arghavan Salles, Kelsey L. Krus, Michael M. Awad, John C. Clohisy, Charles M. Lawrie, Cecilia Pascual‐Garrido, Jeffrey J. Nepple, Charles P. Hannon and Robert L. Barrack and has published in prestigious journals such as Journal of Bone and Joint Surgery, The American Journal of Sports Medicine and Journal of Shoulder and Elbow Surgery.

In The Last Decade

Maria Schwabe

28 papers receiving 477 citations

Hit Papers

Estimating Implicit and Explicit Gender Bias Among Health... 2019 2026 2021 2023 2019 50 100 150

Peers

Maria Schwabe
Comparison fields: 5 of 70
  • Surgery 268
  • Gender Studies 137
  • Public Health, Environmental and Occupational Health 116
  • General Health Professions 68
  • Cardiology and Cardiovascular Medicine 48
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Citations per field, relative to Maria Schwabe
Maria Schwabe · 1×
Citations per year, relative to Maria Schwabe
Maria Schwabe · 1×

Countries citing papers authored by Maria Schwabe

Since Specialization
Citations

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

Fields of papers citing papers by Maria Schwabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Schwabe

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Schwabe. A scholar is included among the top collaborators of Maria Schwabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Schwabe. Maria Schwabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 25
5 11
6
Telemedicine for Hip Preservation Patients: Access, Ability and Preference.
1
7 1
8 1
9 16
10 1
11 20
12 0
13 16
14 15
15 21
16 41
17 44
18
Estimating Implicit and Explicit Gender Bias Among Health Care Professionals and Surgeons breakdown →
171
19 20
20 4

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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