Shaolei Lu
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 27
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 5
- Cancer Diagnosis and Treatment 4
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- Epigenetics and DNA Methylation 6
- Co-authors
- Murray B. Resnick (21 shared papers)Arthur M. Mercurio (6 shared papers)Ashraf Khan (2 shared papers)Evgeny Yakirevich (17 shared papers)Shamlal Mangray (11 shared papers)Karl Simin (1 shared paper)Kara A. Lombardo (8 shared papers)Lelia Noble (5 shared papers)
- Journals
- Human Pathology (10 papers)Modern Pathology (4 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (4 papers)Cancer Research (3 papers)BMC Cancer (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Shaolei Lu
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Immunology and Allergy 93
- Cancer Research 219
- Oncology 387
- Health Informatics 18
- Neurology 62
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 | 96 | |
| 2 | 2009 | 89 | |
| 3 | 2011 | 80 | |
| 4 | 2012 | 79 | |
| 5 | 2021 | 79 | |
| 6 | 2009 | 68 | |
| 7 | 2016 | 62 | |
| 8 | 2020 | 54 | |
| 9 | 2012 | 48 | |
| 10 | 2013 | 47 | |
| 11 | 2021 | 45 | |
| 12 | 2008 | 38 | |
| 13 | 2013 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2005 | 33 | |
| 16 | 2022 | 30 | |
| 17 | 2020 | 30 | |
| 18 | 2020 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2012 | 24 |
About Shaolei Lu
Shaolei Lu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Metastasis and carcinoma case studies (5 papers), Cancer Diagnosis and Treatment (4 papers) and Eosinophilic Esophagitis (4 papers). The work is most often cited by research in Immunology and Allergy (93 citations), Cancer Research (219 citations), Oncology (387 citations), Health Informatics (18 citations) and Neurology (62 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 Khan, Evgeny Yakirevich, Shamlal Mangray, Karl Simin, Kara A. Lombardo, Lelia Noble, Dongfang Yang and Alexander S. Brodsky. Their work appears in journals such as Human Pathology, Modern Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancer Research 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.