Yan Lü
Impact in
- Nephrology top 1%
- Parathyroid Disorders and Treatments
- Hepatology top 5%
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- RNA modifications and cancer 5
- Epidemiology 19
- Liver Disease Diagnosis and Treatment 14
- Co-authors
- Huijie Zhang (11 shared papers)Eduardo Slatopolsky (6 shared papers)Adriana Dusso (4 shared papers)Xin Gao (4 shared papers)Xuelian Xiong (9 shared papers)Ryland B. Edwards (1 shared paper)Mark D. Markel (1 shared paper)Brian J. Cole (1 shared paper)
- Journals
- Hepatology (3 papers)Journal of Clinical Investigation (3 papers)Molecular Metabolism (3 papers)Journal of Hepatology (3 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yan Lü
116 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 127
- Nephrology 379
- Hepatology 177
- Epidemiology 758
- Cancer Research 335
- Physiology 562
Countries citing papers authored by Yan Lü
This map shows the geographic impact of Yan Lü'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 Yan Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Lü more than expected).
Fields of papers citing papers by Yan Lü
This network shows the impact of papers produced by Yan Lü. 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 Yan Lü. The network helps show where Yan Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Lü, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 231 | |
| 2 | 2019 | 210 | |
| 3 | 2013 | 198 | |
| 4 | 2016 | 138 | |
| 5 | 2014 | 127 | |
| 6 | 2001 | 125 | |
| 7 | 2016 | 124 | |
| 8 | 2014 | 112 | |
| 9 | 2001 | 93 | |
| 10 | 2002 | 93 | |
| 11 | 2018 | 91 | |
| 12 | 2019 | 90 | |
| 13 | 2018 | 88 | |
| 14 | 2019 | 80 | |
| 15 | 2021 | 77 | |
| 16 | 2021 | 73 | |
| 17 | 2019 | 70 | |
| 18 | 2017 | 70 | |
| 19 | 2018 | 60 | |
| 20 | 2002 | 57 |
About Yan Lü
Yan Lü is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 120 papers that have together received 3.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Adipose Tissue and Metabolism (7 papers), Parathyroid Disorders and Treatments (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (5 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Nephrology (379 citations), Hepatology (177 citations), Epidemiology (758 citations), Cancer Research (335 citations) and Physiology (562 citations). Yan Lü has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Huijie Zhang, Eduardo Slatopolsky, Adriana Dusso, Xin Gao, Xuelian Xiong, Ryland B. Edwards, Mark D. Markel, Brian J. Cole, Xiaopeng Zhu and Xi Xu. Their work appears in journals such as Hepatology, Journal of Clinical Investigation, Molecular Metabolism, Journal of Hepatology and Advanced Science.
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.