Lingyi Lu
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Oncology top 10%
- Cancer survivorship and care
- Global Cancer Incidence and Screening
Papers in
-
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Genetics 14
- Genetic Associations and Epidemiology 12
- Co-authors
- Kathryn E. Weaver (5 shared papers)L. Douglas Case (4 shared papers)Ann M. Geiger (4 shared papers)Carl D. Langefeld (20 shared papers)Donald W. Bowden (19 shared papers)Barry I. Freedman (19 shared papers)Andrew A. Hicks (15 shared papers)Jasmin Divers (14 shared papers)
- Journals
- American Journal of Nephrology (3 papers)Human Genetics (3 papers)Kidney International (3 papers)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Lingyi Lu
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Nephrology 243
- Oncology 321
- Genetics 118
- Endocrinology, Diabetes and Metabolism 142
- Genetics 233
Countries citing papers authored by Lingyi Lu
This map shows the geographic impact of Lingyi 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 Lingyi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyi Lu more than expected).
Fields of papers citing papers by Lingyi Lu
This network shows the impact of papers produced by Lingyi 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 Lingyi Lu. The network helps show where Lingyi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyi 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 194 | |
| 2 | 2010 | 116 | |
| 3 | 2013 | 105 | |
| 4 | 2011 | 60 | |
| 5 | 2014 | 58 | |
| 6 | 2009 | 56 | |
| 7 | 2011 | 53 | |
| 8 | 2011 | 52 | |
| 9 | 2015 | 50 | |
| 10 | 2013 | 49 | |
| 11 | 2013 | 39 | |
| 12 | 2010 | 38 | |
| 13 | 2006 | 38 | |
| 14 | 2007 | 37 | |
| 15 | 2013 | 36 | |
| 16 | 2022 | 35 | |
| 17 | 2010 | 33 | |
| 18 | 2011 | 32 | |
| 19 | 2011 | 25 | |
| 20 | 2011 | 24 |
About Lingyi Lu
Lingyi Lu is a scholar working on Molecular Biology, Genetics, Nephrology, Oncology and Rheumatology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Renal Diseases and Glomerulopathies (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Machine Learning in Bioinformatics (5 papers), Dementia and Cognitive Impairment Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer survivorship and care (4 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Nephrology (243 citations), Oncology (321 citations), Genetics (118 citations), Endocrinology, Diabetes and Metabolism (142 citations) and Genetics (233 citations). Lingyi Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Kathryn E. Weaver, L. Douglas Case, Ann M. Geiger, Carl D. Langefeld, Donald W. Bowden, Barry I. Freedman, Andrew A. Hicks, Jasmin Divers, Nynikka R. Palmer and Yixue Li. Their work appears in journals such as American Journal of Nephrology, Human Genetics, Kidney International, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring and Cancer Epidemiology Biomarkers & Prevention.
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.