Junyu Lu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
Papers in
-
- ATP Synthase and ATPases Research 3
- Immunology 11
- Immune cells in cancer 7
- Co-authors
- Vincent Lee (3 shared papers)Yiping Wang (3 shared papers)Qi Cao (3 shared papers)Guoping Zheng (3 shared papers)Stephen I. Alexander (3 shared papers)David C.H. Harris (3 shared papers)Jianfeng Zhang (14 shared papers)Changqi Wang (2 shared papers)
In The Last Decade
Junyu Lu
37 papers receiving 674 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 44
- Nephrology 95
- Immunology 277
- Cancer Research 66
- Critical Care and Intensive Care Medicine 17
Countries citing papers authored by Junyu Lu
This map shows the geographic impact of Junyu 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 Junyu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Lu more than expected).
Fields of papers citing papers by Junyu Lu
This network shows the impact of papers produced by Junyu 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 Junyu Lu. The network helps show where Junyu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 195 | |
| 2 | 2014 | 91 | |
| 3 | 2024 | 53 | |
| 4 | 2015 | 51 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 35 | |
| 7 | 2020 | 28 | |
| 8 | Two gene set variation indexes as potential diagnostic tool for sepsis. | 2020 | 25 |
| 9 | 2023 | 24 | |
| 10 | 2010 | 17 | |
| 11 | 2017 | 14 | |
| 12 | 2015 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2013 | 5 |
About Junyu Lu
Junyu Lu is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Nephrology and Cancer Research, having authored 42 papers that have together received 678 indexed citations. Recurring topics across this work include Immune cells in cancer (7 papers), Renal Diseases and Glomerulopathies (5 papers), COVID-19 Clinical Research Studies (4 papers), Sepsis Diagnosis and Treatment (4 papers), Long-Term Effects of COVID-19 (3 papers), ATP Synthase and ATPases Research (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Mechanical Circulatory Support Devices (3 papers). The work is most often cited by research in Health Informatics (44 citations), Nephrology (95 citations), Immunology (277 citations), Cancer Research (66 citations) and Critical Care and Intensive Care Medicine (17 citations). Junyu Lu has collaborated with scholars based in China, Australia and Poland. Frequent co-authors include Vincent Lee, Yiping Wang, Qi Cao, Guoping Zheng, Stephen I. Alexander, David C.H. Harris, Jianfeng Zhang, Changqi Wang, Xiao Yu and Yan V. Sun. Their work appears in journals such as Frontiers in Cell and Developmental Biology, The American Journal of Emergency Medicine, Frontiers in Medicine, Journal of Inflammation Research and Nutrients.
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.