Huogen Lu
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Natural Antidiabetic Agents Studies
- Diet, Metabolism, and Disease
Papers in
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- Metabolism, Diabetes, and Cancer 3
- PI3K/AKT/mTOR signaling in cancer 3
- Angiogenesis and VEGF in Cancer 1
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- Apelin-related biomedical research 2
- Co-authors
- I. George Fantus (8 shared papers)Tianru Jin (2 shared papers)Weijuan Shao (2 shared papers)Yu‐Ting Chiang (1 shared paper)Warren D. Foltz (1 shared paper)Zhiwen Yu (1 shared paper)Yi Yang (1 shared paper)Tuanyao Chai (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Diabetes (1 paper)Endocrinology (1 paper)Canadian Journal of Physiology and Pharmacology (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- CanadaUnited StatesEgypt
In The Last Decade
Huogen Lu
10 papers receiving 501 citations
Peers
Comparison fields: 5 of 66
- Molecular Medicine 106
- Endocrinology, Diabetes and Metabolism 93
- Biochemistry 31
- Physiology 114
- Geriatrics and Gerontology 11
Countries citing papers authored by Huogen Lu
This map shows the geographic impact of Huogen 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 Huogen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huogen Lu more than expected).
Fields of papers citing papers by Huogen Lu
This network shows the impact of papers produced by Huogen 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 Huogen Lu. The network helps show where Huogen Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huogen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 264 | |
| 2 | 2006 | 47 | |
| 3 | 2011 | 43 | |
| 4 | The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism | 2013 | 37 |
| 5 | 2008 | 31 | |
| 6 | 2002 | 27 | |
| 7 | 2014 | 27 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 14 | |
| 10 | 2014 | 1 |
About Huogen Lu
Huogen Lu is a scholar working on Molecular Biology, Pharmacology, Surgery, Genetics and Physiology, having authored 10 papers that have together received 511 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Pancreatic function and diabetes (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Apelin-related biomedical research (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Molecular Medicine (106 citations), Endocrinology, Diabetes and Metabolism (93 citations), Biochemistry (31 citations), Physiology (114 citations) and Geriatrics and Gerontology (11 citations). Huogen Lu has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include I. George Fantus, Tianru Jin, Weijuan Shao, Yu‐Ting Chiang, Warren D. Foltz, Zhiwen Yu, Yi Yang, Tuanyao Chai, K Beard and I. George Fantus. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Canadian Journal of Physiology and Pharmacology and American Journal of Physiology-Endocrinology and Metabolism.
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.