Shaolei Lu
Impact in
- Health Informatics top 5%
- Cancer Research top 10%
Papers in
- Oncology 25
- Cancer Cells and Metastasis 5
- Cancer-related Molecular Pathways 4
-
- Epigenetics and DNA Methylation 6
- Co-authors
- Murray B. Resnick (22 shared papers)Arthur M. Mercurio (6 shared papers)Ashraf Ali Khan (2 shared papers)Evgeny Yakirevich (18 shared papers)Shamlal Mangray (11 shared papers)Kara A. Lombardo (8 shared papers)Karl J. Simin (1 shared paper)Lelia C Noble (5 shared papers)
- Journals
- Human Pathology (10 papers)Modern Pathology (4 papers)The American Journal of Surgical Pathology (4 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (4 papers)BMC Cancer (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Shaolei Lu
79 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Health Informatics 46
- Cancer Research 240
- Oncology 428
- Immunology and Allergy 97
- Molecular Biology 578
Countries citing papers authored by Shaolei Lu
This map shows the geographic impact of Shaolei Lu'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 Shaolei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolei Lu more than expected).
Fields of papers citing papers by Shaolei Lu
This network shows the impact of papers produced by Shaolei Lu. 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 Shaolei Lu. The network helps show where Shaolei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolei Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 101 | |
| 2 | 2021 | 95 | |
| 3 | 2009 | 93 | |
| 4 | 2021 | 90 | |
| 5 | 2011 | 87 | |
| 6 | 2012 | 86 | |
| 7 | 2009 | 73 | |
| 8 | 2016 | 68 | |
| 9 | 2020 | 58 | |
| 10 | 2013 | 53 | |
| 11 | 2021 | 50 | |
| 12 | 2012 | 49 | |
| 13 | 2020 | 43 | |
| 14 | 2013 | 41 | |
| 15 | 2008 | 40 | |
| 16 | 2020 | 37 | |
| 17 | 2005 | 36 | |
| 18 | 2022 | 31 | |
| 19 | 2019 | 29 | |
| 20 | 2022 | 28 |
About Shaolei Lu
Shaolei Lu is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Epidemiology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (5 papers), Metastasis and carcinoma case studies (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Cancer-related Molecular Pathways (4 papers), Eosinophilic Esophagitis (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (46 citations), Cancer Research (240 citations), Oncology (428 citations), Immunology and Allergy (97 citations) and Molecular Biology (578 citations). Shaolei Lu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Murray B. Resnick, Arthur M. Mercurio, Ashraf Ali Khan, Evgeny Yakirevich, Shamlal Mangray, Kara A. Lombardo, Karl J. Simin, Lelia C Noble, Dongfang Yang and Alexander S. Brodsky. Their work appears in journals such as Human Pathology, Modern Pathology, The American Journal of Surgical Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and BMC Cancer.
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.