Shulin Lu
Impact in
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Extracellular vesicles in disease 4
- Advanced biosensing and bioanalysis techniques 3
- Advanced Biosensing Techniques and Applications 2
-
- Microfluidic and Capillary Electrophoresis Applications 4
- Microfluidic and Bio-sensing Technologies 3
- Biosensors and Analytical Detection 2
- Co-authors
- Nathan I. Shapiro (6 shared papers)Kiichiro Yano (4 shared papers)Ionita Ghiran (12 shared papers)Samir M. Parikh (5 shared papers)William C. Aird (2 shared papers)Jennifer Jones (5 shared papers)Guoqi Zhang (1 shared paper)Li Yang (1 shared paper)
- Journals
- Shock (2 papers)Journal of Clinical Investigation (2 papers)Journal of Visualized Experiments (2 papers)Lab on a Chip (2 papers)iScience (1 paper)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Shulin Lu
17 papers receiving 567 citations
Peers
Comparison fields: 5 of 79
- Physiology 29
- Critical Care and Intensive Care Medicine 26
- Cancer Research 63
- Molecular Biology 284
- Immunology 75
Countries citing papers authored by Shulin Lu
This map shows the geographic impact of Shulin 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 Shulin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulin Lu more than expected).
Fields of papers citing papers by Shulin Lu
This network shows the impact of papers produced by Shulin 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 Shulin Lu. The network helps show where Shulin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shulin 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 | 2013 | 146 | |
| 2 | 2018 | 98 | |
| 3 | 2016 | 75 | |
| 4 | 2010 | 59 | |
| 5 | 2019 | 56 | |
| 6 | 2021 | 28 | |
| 7 | 2017 | 21 | |
| 8 | 2012 | 20 | |
| 9 | 2016 | 19 | |
| 10 | 2023 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2025 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 1 | |
| 18 | 2021 | 0 |
About Shulin Lu
Shulin Lu is a scholar working on Molecular Biology, Biomedical Engineering, Epidemiology, Immunology and Physiology, having authored 18 papers that have together received 571 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), MicroRNA in disease regulation (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Biomarkers in Disease Mechanisms (2 papers), Biosensors and Analytical Detection (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Physiology (29 citations), Critical Care and Intensive Care Medicine (26 citations), Cancer Research (63 citations), Molecular Biology (284 citations) and Immunology (75 citations). Shulin Lu has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Nathan I. Shapiro, Kiichiro Yano, Ionita Ghiran, Samir M. Parikh, William C. Aird, Jennifer Jones, Guoqi Zhang, Li Yang, Michael Kluk and Gab Seok Kim. Their work appears in journals such as Shock, Journal of Clinical Investigation, Journal of Visualized Experiments, Lab on a Chip and iScience.
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.