Marilyn M. Li
- Cancer Research top 2%
- Molecular Biology top 10%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Co-authors
- Daynna J. WolffCindy L. Vnencak‐JonesSomak RoyApostolia M. TsimberidouMichael DattoNeal I. LindemanShashikant KulkarniEric J. Duncavage
- Topics
- Cancer Genomics and Diagnostics (29 papers)Genomics and Rare Diseases (18 papers)Genomic variations and chromosomal abnormalities (15 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Marilyn M. Li
103 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 1.0k
- Molecular Biology 997
- Genetics 733
- Pulmonary and Respiratory Medicine 723
- Oncology 589
Countries citing papers authored by Marilyn M. Li
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 49 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancerbreakdown → | 1205 |
| 15 | 25 | |
| 16 | Progress and Perspective of Professional Training in Medical Genetics and Genomics: A Report of the Association of Chinese Geneticists in America | 1 |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 44 | |
| 20 | 30 |
About Marilyn M. Li
Marilyn M. Li is a scholar working on Cancer Research, Genetics and Genetics, having authored 105 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (29 papers), Genomics and Rare Diseases (18 papers) and Genomic variations and chromosomal abnormalities (15 papers). The work is most often cited by research in Cancer Research (1.0k citations), Genetics (391 citations) and Pathology and Forensic Medicine (479 citations). Marilyn M. Li has collaborated with scholars based in United States, Canada and Italy. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.