Patricia Taik

45 total papers · 688 total citations
4 papers, 57 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 57 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 Genomics and Phylogenetic Studies (1 paper), Aquaculture disease management and microbiota (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). Patricia Taik is often cited by papers focused on Genomics and Phylogenetic Studies (1 paper), Aquaculture disease management and microbiota (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). Patricia Taik collaborates with scholars based in United States, Taiwan and Japan. Patricia Taik's co-authors include Robert Sebra, Andrew Uzilov, Rong Chen, Chun Yee Lau, Andrew F. Stewart, Pedram Javanmard, Joaquín Villar, Kai Ying, Kalmon D. Post and Joshua B. Bederson 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 57 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Patricia Taik	30	22	18	14	11	4	57
Heather Lloyd-Jones	166 5.5×	16 0.7×	7 0.4×	9 0.6×	9 0.8×	3	223
H. Sharif	26 0.9×	12 0.5×	2 0.1×	11 0.8×	12 1.1×	7	226
Erik Waldenström	8 0.3×	12 0.5×	8 0.4×	4 0.3×	12 1.1×	6	221
Salima El Chehadeh-Djebbar	39 1.3×	14 0.6×	10 0.6×	22 1.6×	2 0.2×	4	221
Wang Xiao	14 0.5×	33 1.5×	4 0.2×	4 0.3×	3 0.3×	5	49
N. Conte	16 0.5×	19 0.9×	5 0.3×	21 1.5×	3 0.3×	5	284
Yan Chen	13 0.4×	24 1.1×	4 0.2×	4 0.3×	23 2.1×	7	240
Takayuki Okuji	19 0.6×	4 0.2×	3 0.2×	15 1.1×	20 1.8×	4	66
Javier Benítez	25 0.8×	7 0.3×	11 0.6×	3 0.2×	25 2.3×	6	76
John Tzartos	10 0.3×	17 0.8×	17 0.9×	10 0.7×	2 0.2×	5	276

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

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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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