Min Lu
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
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- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- David S. Hsu (5 shared papers)Stephen H. Settle (1 shared paper)David W. Threadgill (1 shared paper)Reade B. Roberts (1 shared paper)Robert J. Coffey (1 shared paper)M. Kay Washington (1 shared paper)Sydney M. Sanderson (2 shared papers)Jason W. Locasale (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Cancer Research (2 papers)Neuro-Oncology (1 paper)Nature Communications (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Lu
32 papers receiving 1.4k citations
Min Lu's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 300
- Genetics 171
- Oncology 289
- Aging 20
- Biotechnology 97
Countries citing papers authored by Min Lu
This map shows the geographic impact of Min 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 Min Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lu more than expected).
Fields of papers citing papers by Min Lu
This network shows the impact of papers produced by Min 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 Min Lu. The network helps show where Min Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dietary methionine influences therapy in mouse cancer models and alters human metabolism Hit paper breakdown → | 2019 | 454 |
| 2 | 2002 | 227 | |
| 3 | 2004 | 142 | |
| 4 | Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial Hit paper breakdown → | 2023 | 123 |
| 5 | 2018 | 92 | |
| 6 | 2016 | 69 | |
| 7 | 2017 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 2018 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 24 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2016 | 22 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2011 | 6 | |
| 20 | 2021 | 5 |
About Min Lu
Min Lu is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related Molecular Pathways (2 papers), Adult and Continuing Education Topics (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (300 citations), Genetics (171 citations), Oncology (289 citations), Aging (20 citations) and Biotechnology (97 citations). Min Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David S. Hsu, Stephen H. Settle, David W. Threadgill, Reade B. Roberts, Robert J. Coffey, M. Kay Washington, Sydney M. Sanderson, Jason W. Locasale, John P. Richie and Gene P. Ables. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Neuro-Oncology, Nature Communications and Cancer Discovery.
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.