Natalie B. Tan

25 total papers · 826 total citations
8 papers, 127 citations indexed

About

Natalie B. Tan is a scholar working on Genetics, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Natalie B. Tan has authored 8 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Surgery and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Natalie B. Tan's work include Genomics and Rare Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Cancer Genomics and Diagnostics (2 papers). Natalie B. Tan is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Cancer Genomics and Diagnostics (2 papers). Natalie B. Tan collaborates with scholars based in Australia, United States and India. Natalie B. Tan's co-authors include Zornitza Stark, Tiong Yang Tan, Alejandro Metke‐Jimenez, Clair Sullivan, Dean Phelan, Nicola Waddell, Alan J. Robertson, Amanda B. Spurdle, Susan M. White and David J. Amor and has published in prestigious journals such as The American Journal of Human Genetics, Human Mutation and Genetics in Medicine.

In The Last Decade

Natalie B. Tan

7 papers receiving 127 citations

Author Peers

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

Author						Papers	Cites
Natalie B. Tan	68	49	22	16	16	8	127
Maria Concetta Cutrupi	44 0.6×	49 1.0×	11 0.5×	8 0.5×	7 0.4×	7	122
Lynette Rives	51 0.8×	33 0.7×	9 0.4×	5 0.3×	8 0.5×	7	95
Naeimeh Tayebi	89 1.3×	90 1.8×	22 1.0×	3 0.2×	11 0.7×	10	216
Paul L. Auer	41 0.6×	53 1.1×	14 0.6×	4 0.3×	8 0.5×	7	99
K. Wong	53 0.8×	186 3.8×	17 0.8×	5 0.3×	19 1.2×	10	241
Ewa Goljan	81 1.2×	90 1.8×	11 0.5×	8 0.5×	3 0.2×	9	217
Rena A. Godfrey	52 0.8×	30 0.6×	6 0.3×	6 0.4×	6 0.4×	8	94
Bryan Sayson	48 0.7×	69 1.4×	8 0.4×	29 1.8×	7 0.4×	8	159
Pascal Arp	57 0.8×	97 2.0×	8 0.4×	7 0.4×	5 0.3×	6	141
Andrée MacMillan	46 0.7×	69 1.4×	16 0.7×	19 1.2×	2 0.1×	7	146

Countries citing papers authored by Natalie B. Tan

Since Specialization

Citations

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

Fields of papers citing papers by Natalie B. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie B. Tan. 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 Natalie B. Tan. The network helps show where Natalie B. Tan may publish in the future.

Co-authorship network of co-authors of Natalie B. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie B. Tan. A scholar is included among the top collaborators of Natalie B. Tan 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 Natalie B. Tan. Natalie B. Tan 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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