L Gu
Impact in
- Clinical Biochemistry top 2%
- Paraoxonase enzyme and polymorphisms
- Biochemistry top 10%
- Biochemical Acid Research Studies
Papers in
-
- Amino Acid Enzymes and Metabolism 1
- Genetics 2
- Co-authors
- Yu-Rong XiaSusan HamaAldons J. LusisMohamad NavabDiana M. ShihAlan M. FogelmanHozumi MotohashiJohn P. Rapp
- Journals
- Mammalian Genome (3 papers)Journal of Clinical Investigation (2 papers)Blood (2 papers)High Temperature Material Processes An International Quarterly of High-Technology Plasma Processes (1 paper)Microbiological Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
L Gu
15 papers receiving 601 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 176
- Biochemistry 53
- Endocrinology, Diabetes and Metabolism 80
- Pharmacology 38
- Pharmacology 64
Countries citing papers authored by L Gu
This map shows the geographic impact of L Gu'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 L Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Gu more than expected).
Fields of papers citing papers by L Gu
This network shows the impact of papers produced by L Gu. 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 L Gu. The network helps show where L Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside L Gu, 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 | 2025 | 0 | |
| 2 | 2021 | 7 | |
| 3 | 2013 | 2 | |
| 4 | Evaluation of Stirring in Electric Arc Furnaces. | 2001 | 1 |
| 5 | 2001 | 10 | |
| 6 | 1997 | 51 | |
| 7 | 1996 | 79 | |
| 8 | 1996 | 214 | |
| 9 | [Histologic examination and immunohistochemical analysis of estrogen and progesterone receptors of eutopic and ectopic endometrium in patients with endometriosis]. | 1996 | 1 |
| 10 | 1995 | 1 | |
| 11 | 1994 | 21 | |
| 12 | 1994 | 10 | |
| 13 | 1994 | 5 | |
| 14 | 1994 | 81 | |
| 15 | 1994 | 97 | |
| 16 | 1993 | 23 |
About L Gu
L Gu is a scholar working on Biochemistry, Genetics, Hematology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 603 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (3 papers), Acute Myeloid Leukemia Research (2 papers), Diet, Metabolism, and Disease (2 papers), RNA modifications and cancer (2 papers), Metallurgical Processes and Thermodynamics (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Clinical Biochemistry (176 citations), Biochemistry (53 citations), Endocrinology, Diabetes and Metabolism (80 citations), Pharmacology (38 citations) and Pharmacology (64 citations). L Gu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Yu-Rong Xia, Susan Hama, Aldons J. Lusis, Mohamad Navab, Diana M. Shih, Alan M. Fogelman, Hozumi Motohashi, John P. Rapp, James Douglas Engel and Masayuki Yamamoto. Their work appears in journals such as Mammalian Genome, Journal of Clinical Investigation, Blood, High Temperature Material Processes An International Quarterly of High-Technology Plasma Processes and Microbiological 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.