Ming Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Neuropeptides and Animal Physiology
Papers in
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- Glycosylation and Glycoproteins Research 4
- Epigenetics and DNA Methylation 4
- Ion channel regulation and function 3
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- Antibiotic Resistance in Bacteria 10
- Co-authors
- Qinghua Cui (1 shared paper)Juan Wang (1 shared paper)Chengxiang Qiu (1 shared paper)Laurence J. Miller (1 shared paper)Lee F. Kolakowski (1 shared paper)Edward W. McBride (1 shared paper)Martin Beinborn (1 shared paper)Herbert Y. Lin (1 shared paper)
- Journals
- Cancer Research (5 papers)Oncotarget (2 papers)Pancreatology (2 papers)International Journal of Cancer (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Lu
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 433
- Cellular and Molecular Neuroscience 307
- Molecular Biology 910
- Molecular Medicine 62
- Oncology 233
Countries citing papers authored by Ming Lu
This map shows the geographic impact of Ming 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 Ming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lu more than expected).
Fields of papers citing papers by Ming Lu
This network shows the impact of papers produced by Ming 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 Ming Lu. The network helps show where Ming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 451 | |
| 2 | 2009 | 352 | |
| 3 | 2001 | 142 | |
| 4 | 2017 | 114 | |
| 5 | 2009 | 87 | |
| 6 | 2007 | 86 | |
| 7 | 2014 | 45 | |
| 8 | 2020 | 40 | |
| 9 | 2011 | 33 | |
| 10 | 2023 | 32 | |
| 11 | 2015 | 32 | |
| 12 | 2010 | 31 | |
| 13 | 2016 | 28 | |
| 14 | 1996 | 27 | |
| 15 | 2013 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2013 | 22 | |
| 19 | 2018 | 20 | |
| 20 | 2023 | 20 |
About Ming Lu
Ming Lu is a scholar working on Molecular Biology, Molecular Medicine, Surgery, Cancer Research and Epidemiology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Pancreatitis Pathology and Treatment (7 papers), Glycosylation and Glycoproteins Research (4 papers), Epigenetics and DNA Methylation (4 papers), Immune cells in cancer (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cancer Research (433 citations), Cellular and Molecular Neuroscience (307 citations), Molecular Biology (910 citations), Molecular Medicine (62 citations) and Oncology (233 citations). Ming Lu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qinghua Cui, Juan Wang, Chengxiang Qiu, Laurence J. Miller, Lee F. Kolakowski, Edward W. McBride, Martin Beinborn, Herbert Y. Lin, Xin Qiao and Wei Zhao. Their work appears in journals such as Cancer Research, Oncotarget, Pancreatology, International Journal of Cancer and Frontiers in Pharmacology.
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.