Michael L. Lu

45 papers receiving 3.1k citations

Peers

Michael L. Lu
Comparison fields: 5 of 111
  • Cancer Research 815
  • Immunology and Allergy 225
  • Cell Biology 406
  • Molecular Biology 1.4k
  • Pulmonary and Respiratory Medicine 614
Replace David J. Mulholland with:
David J. Mulholland United States
Omar E. Franco United States
Eric Chastre France
Lu‐Hai Wang United States
Benilde Jiménez Spain
Karen Swisshelm United States
Abdel‐Majid Khatib France
Irina Mikhailenko United States
Mary Migliorini United States
Serhiy Souchelnytskyi Sweden
Michael L. Lu relative to David J. Mulholland United States David J. Mulholland's profile →
Citations per field
00.5×1.7×
David J. Mulholland · 1×
Citations per year

Countries citing papers authored by Michael L. Lu

Since Specialization
Citations

This map shows the geographic impact of Michael L. 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 Michael L. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Lu more than expected).

Fields of papers citing papers by Michael L. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. 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 Michael L. Lu. The network helps show where Michael L. Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael L. Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael L. Lu Line = papers co-authored together Michael L. Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003303
2
Cholesterol-rich lipid rafts mediate akt-regulated survival in prostate cancer cells.
2002287
3 2003280
4 2001216
5 1998213
6 2002202
7 2003192
8 2008125
9 2007119
10 2002116
11 200190
12 200587
13 200268
14 200868
15 201764
16 200664
17 201461
18 200359
19 201555
20 201550

About Michael L. Lu

Michael L. Lu is a scholar working on Molecular Biology, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 3.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Prostate Cancer Treatment and Research (7 papers), Genetic Neurodegenerative Diseases (6 papers), Cell Adhesion Molecules Research (6 papers), Ubiquitin and proteasome pathways (4 papers), Protease and Inhibitor Mechanisms (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Caveolin-1 and cellular processes (3 papers). The work is most often cited by research in Cancer Research (815 citations), Immunology and Allergy (225 citations), Cell Biology (406 citations), Molecular Biology (1.4k citations) and Pulmonary and Respiratory Medicine (614 citations). Michael L. Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Steven P. Balk, Xin Yuan, Michael R. Freeman, Michael C. Schneider, Jianqing Lin, David Masiello, Keith R. Solomon, Liyan Zhuang, Galina K. Sukhova and Guo‐Ping Shi. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Clinical Investigation, Journal of Virology and Brazilian Journal of Medical and Biological Research.

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.

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