Sarsha Yap

38 total papers · 763 total citations
25 papers, 543 citations indexed

About

Sarsha Yap is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Sarsha Yap has authored 25 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Sarsha Yap's work include Global Cancer Incidence and Screening (10 papers), Cancer Risks and Factors (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Sarsha Yap is often cited by papers focused on Global Cancer Incidence and Screening (10 papers), Cancer Risks and Factors (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Sarsha Yap collaborates with scholars based in Australia, South Africa and Singapore. Sarsha Yap's co-authors include Phillip W. Taylor, Dianne L. O’Connell, Marianne Weber, Karen Canfell, David Goldsbury, Emily Banks, Benjamin G. Fanson, Christopher W. Weldon, Sam Egger and Lennert Veerman and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Sarsha Yap

24 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Sarsha Yap	188	140	112	67	51	25	543
A.J. van Loon	96 0.5×	107 0.8×	47 0.4×	6 0.1×	57 1.1×	25	453
Tanimola Martins	187 1.0×	78 0.6×	7 0.1×	52 0.8×	94 1.8×	27	543
Kathrin Sommer	100 0.5×	26 0.2×	86 0.8×	38 0.6×	34 0.7×	20	472
Rhonda VanDyke	55 0.3×	152 1.1×	28 0.3×	11 0.2×	91 1.8×	22	566
A. Hoekstra	36 0.2×	71 0.5×	18 0.2×	11 0.2×	38 0.7×	24	492
Haruka Morita	26 0.1×	39 0.3×	21 0.2×	16 0.2×	28 0.5×	22	489
Nicholas M. A. Smith	22 0.1×	21 0.1×	55 0.5×	28 0.4×	80 1.6×	28	459
Mark Mai	46 0.2×	32 0.2×	23 0.2×	6 0.1×	32 0.6×	21	546
Deborah H. Allen	77 0.4×	140 1.0×	8 0.1×	7 0.1×	41 0.8×	32	509
Gorana Capkun	75 0.4×	35 0.3×	11 0.1×	33 0.5×	68 1.3×	24	515

Countries citing papers authored by Sarsha Yap

Since Specialization

Citations

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

Fields of papers citing papers by Sarsha Yap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarsha Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Sarsha Yap. A scholar is included among the top collaborators of Sarsha Yap 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 Sarsha Yap. Sarsha Yap 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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