Marilyn M. Li

6.4k total citations · 1 hit paper
105 papers, 3.2k citations indexed

About

Marilyn M. Li is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Marilyn M. Li has authored 105 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 30 papers in Molecular Biology and 30 papers in Cancer Research. Recurrent topics in Marilyn M. Li's work include Cancer Genomics and Diagnostics (29 papers), Genomics and Rare Diseases (18 papers) and Genomic variations and chromosomal abnormalities (15 papers). Marilyn M. Li is often cited by papers focused on Cancer Genomics and Diagnostics (29 papers), Genomics and Rare Diseases (18 papers) and Genomic variations and chromosomal abnormalities (15 papers). Marilyn M. Li collaborates with scholars based in United States, Canada and Italy. Marilyn M. Li's co-authors include Daynna J. Wolff, Cindy L. Vnencak‐Jones, Somak Roy, Apostolia M. Tsimberidou, Michael Datto, Neal I. Lindeman, Shashikant Kulkarni, Eric J. Duncavage, Marina N. Nikiforova and Anas Younes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Marilyn M. Li

103 papers receiving 3.1k citations

Hit Papers

Standards and Guidelines for the Interpretation and Repor... 2016 2026 2019 2022 2016 400 800 1.2k

Peers

Marilyn M. Li
Alex McMillan United States
Marilyn M. Li
Citations per year, relative to Marilyn M. Li Marilyn M. Li (= 1×) peers Alex McMillan

Countries citing papers authored by Marilyn M. Li

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilyn M. Li. 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 Marilyn M. Li. The network helps show where Marilyn M. Li may publish in the future.

Co-authorship network of co-authors of Marilyn M. Li

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

All Works

20 of 20 papers shown
1.
Feng, Xu, et al.. (2025). Combining panel-based and whole-transcriptome-based gene fusion detection by long-read sequencing. Cell Reports Methods. 5(8). 101111–101111.
2.
Lee, Kristy, Noura S. Abul‐Husn, Laura M. Amendola, et al.. (2025). ACMG SF v3.3 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 27(8). 101454–101454. 6 indexed citations
3.
Torres-Diz, Manuel, Clara Reglero, Katharina E. Hayer, et al.. (2024). An Alternatively Spliced Gain-of-Function NT5C2 Isoform Contributes to Chemoresistance in Acute Lymphoblastic Leukemia. Cancer Research. 84(20). 3327–3336. 3 indexed citations
4.
Luo, Minjie, Derek Wong, Kristin Zelley, et al.. (2024). Identification of TP53 germline variants in pediatric patients undergoing tumor testing: strategy and prevalence. JNCI Journal of the National Cancer Institute. 116(8). 1356–1365. 2 indexed citations
5.
Chen, Jiani, Jinhua Wu, Fumin Lin, et al.. (2023). The spectrum of RAF1 fusion positive solid tumors in children and young adults.. Journal of Clinical Oncology. 41(16_suppl). e22013–e22013. 1 indexed citations
6.
Church, Alanna J., Shruti Rao, Arpad Danos, et al.. (2022). Standardized evidence-based approach for assessment of oncogenic and clinical significance of NTRK fusions. Cancer Genetics. 264-265. 50–59. 6 indexed citations
7.
Pugh, Trevor J., Jeffrey P. Bruce, Gary J. Doherty, et al.. (2022). AACR Project GENIE: 100,000 Cases and Beyond. Cancer Discovery. 12(9). 2044–2057. 49 indexed citations
8.
Li, Quan, Zilin Ren, Kajia Cao, et al.. (2022). CancerVar: An artificial intelligence–empowered platform for clinical interpretation of somatic mutations in cancer. Science Advances. 8(18). eabj1624–eabj1624. 29 indexed citations
9.
Li, Marilyn M., Catherine E. Cottrell, Somak Roy, et al.. (2022). Assessments of Somatic Variant Classification Using the Association for Molecular Pathology/American Society of Clinical Oncology/College of American Pathologists Guidelines. Journal of Molecular Diagnostics. 25(2). 69–86. 17 indexed citations
10.
Bridge, Julia A., A. John Iafrate, Marilyn M. Li, et al.. (2021). Mammary-type Myofibroblastoma with Leiomyomatous Differentiation: A Rare Variant with Potential Pitfalls. International Journal of Surgical Pathology. 30(2). 200–206. 3 indexed citations
11.
Jung, Hou-Sung, Fumin Lin, Adam J. Wolpaw, et al.. (2020). A Novel KMT2A-ARHGEF12 Fusion Gene Identified in a High-Grade B-cell Lymphoma. Cancer Genetics. 246-247. 41–43. 4 indexed citations
12.
Neill, Stewart G., Marilyn M. Li, Yajuan J. Liu, et al.. (2020). Copy number assessment in the genomic analysis of CNS neoplasia: An evidence-based review from the cancer genomics consortium (CGC) working group on primary CNS tumors. Cancer Genetics. 243. 19–47. 3 indexed citations
13.
Wu, Chao, Xiaonan Zhao, Kajia Cao, et al.. (2019). Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing. Clinical Chemistry. 66(1). 239–246. 9 indexed citations
14.
Li, Marilyn M., Michael Datto, Eric J. Duncavage, et al.. (2016). Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer. Journal of Molecular Diagnostics. 19(1). 4–23. 1205 indexed citations breakdown →
15.
Emrick, Lisa, Lauren Murphy, Alireza A. Shamshirsaz, et al.. (2014). Prenatal diagnosis of CLOVES syndrome confirmed by detection of a mosaic PIK3CA mutation in cultured amniocytes. American Journal of Medical Genetics Part A. 164(10). 2633–2637. 25 indexed citations
16.
Li, Peining, et al.. (2013). Progress and Perspective of Professional Training in Medical Genetics and Genomics: A Report of the Association of Chinese Geneticists in America. North American Journal of Medicine and Science. 6(4). 1 indexed citations
17.
Li, Marilyn M. & Hans C. Andersson. (2009). Clinical Application of Microarray-Based Molecular Cytogenetics: An Emerging New Era of Genomic Medicine. The Journal of Pediatrics. 155(3). 311–317. 23 indexed citations
18.
Liu, Henry, et al.. (2008). Paradoxical postural cerebrospinal fluid leak–induced headache: report of two cases. Journal of Clinical Anesthesia. 20(5). 383–385. 12 indexed citations
19.
Li, Marilyn M., Eveline C. Porter, Robert Lam, & Sarbjit V. Jassal. (2007). Quality Improvement Through the Introduction of Interdisciplinary Geriatric Hemodialysis Rehabilitation Care. American Journal of Kidney Diseases. 50(1). 90–97. 44 indexed citations
20.
Molnar, Frank, et al.. (2005). The risk of hemorrhagic complications in hospital in-patients who fall while receiving antithrombotic therapy.. Thrombosis Journal. 3(1). 1–1. 30 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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