Paige Teller

984 citations
16 papers · 720 · h-index 11

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Nephrology top 10%
    • Parathyroid Disorders and Treatments

Papers in

    • Breast Cancer Treatment Studies 4
    • Cancer Genomics and Diagnostics 2
    • Breast Implant and Reconstruction 2

Paige Teller

15 papers receiving 694 citations

Peers

Paige Teller
Comparison fields: 5 of 80
  • Genetics 126
  • Nephrology 70
  • Rehabilitation 56
  • Surgery 319
  • Oncology 194
Replace Sachin S. Vaikunth with:
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Catherine Alexakis France
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Aleksandar Francki United States
Paige Teller relative to Sachin S. Vaikunth United States Sachin S. Vaikunth's profile →
Citations per field
00.5×3.9×
Sachin S. Vaikunth · 1×
Citations per year

Countries citing papers authored by Paige Teller

Since Specialization
Citations

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

Fields of papers citing papers by Paige Teller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001216
2 2001193
3 200991
4 202166
5 201133
6 202324
7 201222
8 200922
9 201017
10 201811
11 202311
12 20106
13 20225
14 20222
15
[Pneumonia of torpid evolution in a 65 year-old patient].
19981
16
Fisiología de la cicatrización de la herida: de la lesión al a maduración
20090

About Paige Teller

Paige Teller is a scholar working on Cancer Research, Surgery, Oncology, Rehabilitation and Molecular Biology, having authored 16 papers that have together received 720 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (4 papers), Breast Cancer Treatment Studies (4 papers), Wound Healing and Treatments (3 papers), BRCA gene mutations in cancer (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Pressure Ulcer Prevention and Management (2 papers), Breast Implant and Reconstruction (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (126 citations), Nephrology (70 citations), Rehabilitation (56 citations), Surgery (319 citations) and Oncology (194 citations). Paige Teller has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Soeun Ngoy, Mohit Jain, Ronglih Liao, Carl S. Apstein, Rodney H. Falk, Martha Skinner, Lawreen H. Connors, H DerSimonian, Daniel A. Brenner and Albert S.B. Edge. Their work appears in journals such as Annals of Surgical Oncology, Plastic & Reconstructive Surgery, Circulation, The Breast Journal and The Application of Clinical Genetics.

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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