Salina Chan

1.9k total citations
9 papers, 319 citations indexed

About

Salina Chan is a scholar working on Genetics, Cancer Research and Oncology. According to data from OpenAlex, Salina Chan has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Salina Chan's work include BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers) and Viral gastroenteritis research and epidemiology (1 paper). Salina Chan is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers) and Viral gastroenteritis research and epidemiology (1 paper). Salina Chan collaborates with scholars based in United States and Canada. Salina Chan's co-authors include E. Shelley Hwang, Rachel A. Greenup, Adam H. Buchanan, Jane McLennan, P. Kelly Marcom, Wendy Lorizio, Tracey P. Leedom, Laura van ‘t Veer, Lauren Ryan and Jeroen van den Akker and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgical Oncology and Breast Cancer Research and Treatment.

In The Last Decade

Salina Chan

9 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Salina Chan United States	6	203	144	127	112	46	9	319
Danielle Castillo United States	9	222 1.1×	103 0.7×	81 0.6×	130 1.2×	60 1.3×	27	327
Ashley Woodson United States	9	113 0.6×	116 0.8×	76 0.6×	90 0.8×	23 0.5×	18	242
Aaron J. Stuenkel United States	4	279 1.4×	143 1.0×	54 0.4×	108 1.0×	129 2.8×	6	367
Neal Clark Norway	9	232 1.1×	120 0.8×	104 0.8×	83 0.7×	126 2.7×	12	352
Judith Balmaña Gelpí Spain	4	150 0.7×	98 0.7×	126 1.0×	94 0.8×	36 0.8×	9	256
John L. Hopper Australia	4	180 0.9×	62 0.4×	129 1.0×	73 0.7×	53 1.2×	5	308
Nicolette M. Chun United States	9	262 1.3×	119 0.8×	58 0.5×	142 1.3×	87 1.9×	24	382
Vida Stegel Slovenia	11	135 0.7×	87 0.6×	75 0.6×	143 1.3×	56 1.2×	36	334
Joe Dennis United Kingdom	9	109 0.5×	61 0.4×	78 0.6×	88 0.8×	39 0.8×	24	247
Mateja Krajc Slovenia	11	203 1.0×	58 0.4×	73 0.6×	123 1.1×	66 1.4×	47	308

Countries citing papers authored by Salina Chan

Since Specialization

Citations

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

Fields of papers citing papers by Salina Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salina Chan

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Ding, Chien‐Kuang Cornelia, Salina Chan, Julie Mak, et al.. (2022). An exploration in pitfalls in interpreting SDHB immunohistochemistry. Histopathology. 81(2). 264–269. 8 indexed citations

2.

Walker, Evan J., Julia Carnevale, Amie Blanco, et al.. (2018). Referral frequency, attrition rate, and outcomes of germline testing in patients with pancreatic adenocarcinoma. Familial Cancer. 18(2). 241–251. 22 indexed citations

3.

Walker, Evan J., Julia Carnevale, Amie Blanco, et al.. (2018). Referral patterns and attrition rate for germline testing in pancreatic cancer (PC) patients.. Journal of Clinical Oncology. 36(15_suppl). 1591–1591. 1 indexed citations

4.

Blanco, Amie, Salina Chan, Alan Paciorek, et al.. (2018). Emerging value of multigene panels for germline testing in patients with neuroendocrine tumors.. Journal of Clinical Oncology. 36(4_suppl). 226–226. 1 indexed citations

5.

Sittler, Taylor, et al.. (2017). Multi-gene panel testing for hereditary cancer predisposition in unsolved high-risk breast and ovarian cancer patients. Breast Cancer Research and Treatment. 163(2). 383–390. 59 indexed citations

6.

Greenup, Rachel A., Adam H. Buchanan, Wendy Lorizio, et al.. (2013). Prevalence of BRCA Mutations Among Women with Triple-Negative Breast Cancer (TNBC) in a Genetic Counseling Cohort. Annals of Surgical Oncology. 20(10). 3254–3258. 170 indexed citations

7.

McIntyre, William F., et al.. (2011). Snow-shoveling and the risk of acute coronary syndromes. Clinical Research in Cardiology. 101(1). 11–15. 12 indexed citations

8.

Alain, Tommy, Huong Muzik, Salina Chan, et al.. (2009). Susceptibility of mantle cell lymphomas to reovirus oncolysis. Leukemia Research. 34(1). 100–108. 5 indexed citations

9.

Kurian, Allison W., Gail Gong, Nicolette M. Chun, et al.. (2008). Performance ofBRCA1/2Mutation Prediction Models in Asian Americans. Journal of Clinical Oncology. 26(29). 4752–4758. 41 indexed citations

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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