Jin Lu
Impact in
- Microbiology top 10%
- Reproductive tract infections research
- Microbial infections and disease research
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- Hepatitis C virus research
Papers in
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- RNA and protein synthesis mechanisms 2
- Congenital heart defects research 2
- Mitochondrial Function and Pathology 1
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- Pneumonia and Respiratory Infections 2
- Co-authors
- Susmita Shrivastava (1 shared paper)Gail H. Cassell (1 shared paper)Donna M. Crabb (1 shared paper)Lynn B. Duffy (1 shared paper)Shibu Yooseph (1 shared paper)Li Xiao (1 shared paper)Ken B. Waites (1 shared paper)Jason Inman (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)BMC Microbiology (1 paper)Journal of Bacteriology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jin Lu
11 papers receiving 178 citations
Peers
Comparison fields: 5 of 56
- Microbiology 66
- Hepatology 33
- Parasitology 18
- Nephrology 14
- Epidemiology 61
Countries citing papers authored by Jin Lu
This map shows the geographic impact of Jin 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 Jin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lu more than expected).
Fields of papers citing papers by Jin Lu
This network shows the impact of papers produced by Jin 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 Jin Lu. The network helps show where Jin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 | 73 | |
| 2 | 2005 | 41 | |
| 3 | Effects of air bubbles and tube transportation on blood oxygen tension in arterial blood gas analysis. | 2003 | 23 |
| 4 | 2001 | 20 | |
| 5 | 2021 | 9 | |
| 6 | 2002 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 3 | |
| 9 | 2011 | 2 | |
| 10 | [Effects of long-term estrogen replacement treatment on the blood pressure and expression of IR and IRS-1 in myocardium]. | 2005 | 1 |
| 11 | 2022 | 1 |
About Jin Lu
Jin Lu is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Genetics and Cancer Research, having authored 11 papers that have together received 182 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Pneumonia and Respiratory Infections (2 papers), Congenital heart defects research (2 papers), Cancer-related molecular mechanisms research (2 papers), Streptococcal Infections and Treatments (2 papers), Mitochondrial Function and Pathology (1 paper), MicroRNA in disease regulation (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Microbiology (66 citations), Hepatology (33 citations), Parasitology (18 citations), Nephrology (14 citations) and Epidemiology (61 citations). Jin Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Susmita Shrivastava, Gail H. Cassell, Donna M. Crabb, Lynn B. Duffy, Shibu Yooseph, Li Xiao, Ken B. Waites, Jason Inman, Vanya Paralanov and Barbara A. Methé. Their work appears in journals such as Journal of Cell Science, BMC Microbiology, Journal of Bacteriology, Frontiers in Cell and Developmental Biology and European Journal of Biochemistry.
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.