Ran Lu
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Viral gastroenteritis research and epidemiology 10
-
- Metabolism, Diabetes, and Cancer 4
- Co-authors
- Tianpei Hong (8 shared papers)Shenghui Cui (3 shared papers)Yunchang Guo (1 shared paper)Chaoying Hu (1 shared paper)Jingli Li (1 shared paper)Yue Ma (1 shared paper)Ye Liu (5 shared papers)Jin Yang (3 shared papers)
- Journals
- Foodborne Pathogens and Disease (2 papers)China CDC Weekly (2 papers)Diabetes Obesity and Metabolism (2 papers)Information Sciences (1 paper)Biological Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ran Lu
44 papers receiving 543 citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 304
- Clinical Biochemistry 56
- Endocrinology, Diabetes and Metabolism 96
- Biotechnology 42
- Hepatology 33
Countries citing papers authored by Ran Lu
This map shows the geographic impact of Ran 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 Ran Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Lu more than expected).
Fields of papers citing papers by Ran Lu
This network shows the impact of papers produced by Ran 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 Ran Lu. The network helps show where Ran Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 157 | |
| 2 | 2019 | 35 | |
| 3 | 2017 | 31 | |
| 4 | 2021 | 27 | |
| 5 | 2017 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 21 | |
| 11 | 2021 | 17 | |
| 12 | 2011 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2012 | 12 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Ran Lu
Ran Lu is a scholar working on Infectious Diseases, Molecular Biology, Information Systems, Endocrinology, Diabetes and Metabolism and Artificial Intelligence, having authored 52 papers that have together received 556 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Heavy metals in environment (3 papers), Pancreatic function and diabetes (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Pediatric health and respiratory diseases (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (304 citations), Clinical Biochemistry (56 citations), Endocrinology, Diabetes and Metabolism (96 citations), Biotechnology (42 citations) and Hepatology (33 citations). Ran Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tianpei Hong, Shenghui Cui, Yunchang Guo, Chaoying Hu, Jingli Li, Yue Ma, Ye Liu, Jin Yang, Qing Tian and Haining Wang. Their work appears in journals such as Foodborne Pathogens and Disease, China CDC Weekly, Diabetes Obesity and Metabolism, Information Sciences and Biological Psychiatry.
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.