Shulin Lu
Impact in
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Extracellular vesicles in disease 4
- Advanced biosensing and bioanalysis techniques 3
-
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Nathan I. Shapiro (6 shared papers)Kiichiro Yano (4 shared papers)Samir M. Parikh (5 shared papers)Ionita Ghiran (11 shared papers)William C. Aird (2 shared papers)Katherine Spokes (1 shared paper)Michael Kluk (1 shared paper)Rebekah K. O’Donnell (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Shock (2 papers)Lab on a Chip (2 papers)iScience (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Shulin Lu
17 papers receiving 547 citations
Peers
Comparison fields: 5 of 85
- Physiology 29
- Critical Care and Intensive Care Medicine 32
- Endocrine and Autonomic Systems 32
- Cancer Research 68
- Immunology 88
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 | 143 | |
| 2 | 2018 | 95 | |
| 3 | 2016 | 74 | |
| 4 | 2010 | 57 | |
| 5 | 2019 | 52 | |
| 6 | 2021 | 27 | |
| 7 | 2012 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 19 | |
| 10 | 2023 | 15 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2017 | 1 |
About Shulin Lu
Shulin Lu is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Physiology and Immunology, having authored 17 papers that have together received 551 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Sepsis Diagnosis and Treatment (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Physiology (29 citations), Critical Care and Intensive Care Medicine (32 citations), Endocrine and Autonomic Systems (32 citations), Cancer Research (68 citations) and Immunology (88 citations). Shulin Lu has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Nathan I. Shapiro, Kiichiro Yano, Samir M. Parikh, Ionita Ghiran, William C. Aird, Katherine Spokes, Michael Kluk, Rebekah K. O’Donnell, Teresa Sánchez and Li Yang. Their work appears in journals such as Journal of Clinical Investigation, Shock, Lab on a Chip, iScience and ACS Synthetic Biology.
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.