Patricia Taik

708 total citations
4 papers, 58 citations indexed

About

Patricia Taik is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Patricia Taik has authored 4 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 1 paper in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Patricia Taik's work include Oral and Maxillofacial Pathology (1 paper), Soft tissue tumor case studies (1 paper) and Bone Tumor Diagnosis and Treatments (1 paper). Patricia Taik is often cited by papers focused on Oral and Maxillofacial Pathology (1 paper), Soft tissue tumor case studies (1 paper) and Bone Tumor Diagnosis and Treatments (1 paper). Patricia Taik collaborates with scholars based in United States, Japan and China. Patricia Taik's co-authors include Andrew Uzilov, Robert Sebra, Kalmon D. Post, Michael Donovan, Andrew F. Stewart, Marc Y. Fink, Milind Mahajan, Joshua B. Bederson, Joaquín Villar and Kai Ying and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Phylogenetics and Evolution and The Oncologist.

In The Last Decade

Patricia Taik

4 papers receiving 58 citations

Peers

Patricia Taik
Comparison fields: 5 of 19
  • Endocrinology, Diabetes and Metabolism 31
  • Surgery 23
  • Genetics 19
  • Immunology 15
  • Epidemiology 11
Replace Nadezhda Dalantaeva with:
Nadezhda Dalantaeva United Kingdom
Catherine Brewer United States
Leila Sozaeva Russia
Elisha Stefanski United States
Takayuki Okuji Japan
Hidetoshi Kitajima Japan
David Tridgell United States
Javier Benítez Spain
Eyþór Björnsson Iceland
Alejandra Vázquez-Cárdenas Mexico
Nadezhda Dalantaeva United Kingdom View profile →
Citations per field, relative to Patricia Taik
Patricia Taik · 1×
Citations per year, relative to Patricia Taik
Patricia Taik · 1×

Countries citing papers authored by Patricia Taik

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Taik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Taik

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Taik. A scholar is included among the top collaborators of Patricia Taik 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 Patricia Taik. Patricia Taik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 3
2 7
3 32
4 16

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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2026