Michael L. Lu

3.7k citations
45 papers · 3.0k · h-index 25

Impact in

Papers in

Michael L. Lu

45 papers receiving 3.0k citations

Peers

Michael L. Lu
Comparison fields: 5 of 111
  • Cancer Research 885
  • Immunology and Allergy 261
  • Cell Biology 426
  • Molecular Biology 1.6k
  • Pulmonary and Respiratory Medicine 666
Replace David J. Mulholland with:
David J. Mulholland United States
Lu‐Hai Wang United States
Benilde Jiménez Spain
Eric Chastre France
Abdel‐Majid Khatib France
Geoffrey Bartholomeusz United States
Jennifer D. Black United States
Michal Safran Israel
Eugene Tulchinsky United Kingdom
Mary Migliorini United States
Michael L. Lu relative to David J. Mulholland United States David J. Mulholland's profile →
Citations per field
00.5×1.5×1.9×
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003290
2
Cholesterol-rich lipid rafts mediate akt-regulated survival in prostate cancer cells.
2002274
3 2003267
4 1998208
5 2001205
6 2002193
7 2003184
8 2008121
9 2007116
10 2002114
11 200189
12 200582
13 200268
14 200867
15 201762
16 200662
17 201459
18 200358
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 Cancer Research, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Prostate Cancer Treatment and Research (8 papers), Cell Adhesion Molecules Research (6 papers), Genetic Neurodegenerative Diseases (6 papers), Ubiquitin and proteasome pathways (5 papers), Protease and Inhibitor Mechanisms (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cancer Research (885 citations), Immunology and Allergy (261 citations), Cell Biology (426 citations), Molecular Biology (1.6k citations) and Pulmonary and Respiratory Medicine (666 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, Liyan Zhuang, David Masiello, Jianqing Lin, Keith R. Solomon, Galina K. Sukhova and Peter Libby. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Clinical Investigation, Human Gene Therapy and Scientific Reports.

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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