Lan Jiang
Impact in
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genetic Associations and Epidemiology
- Ophthalmology top 5%
- Intraocular Surgery and Lenses
Papers in
- Aging 2
-
- Neurological diseases and metabolism 5
- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- James S. SutcliffeJacob L. McCauleyChun LiSusan E. FolsteinScott M. WilliamsRyan DelahantyYifeng ZhouJian Zheng
- Journals
- Annals of Human Genetics (6 papers)American Journal of Obstetrics and Gynecology (3 papers)DNA and Cell Biology (3 papers)Ophthalmology (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lan Jiang
83 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 141
- Genetics 483
- Ophthalmology 157
- Cognitive Neuroscience 321
- Epidemiology 510
- Clinical Biochemistry 97
Countries citing papers authored by Lan Jiang
This map shows the geographic impact of Lan Jiang'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 Lan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Jiang more than expected).
Fields of papers citing papers by Lan Jiang
This network shows the impact of papers produced by Lan Jiang. 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 Lan Jiang. The network helps show where Lan Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lan Jiang, 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 | 2023 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 69 | |
| 8 | 2019 | 89 | |
| 9 | 2015 | 175 | |
| 10 | A new particle filtering algorithm for multiple target tracking with non-linear observations | 2014 | 1 |
| 11 | 2013 | 24 | |
| 12 | 2013 | 45 | |
| 13 | 2013 | 61 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 9 | |
| 16 | 2011 | 15 | |
| 17 | 2010 | 32 | |
| 18 | 2007 | 36 | |
| 19 | 2006 | 10 | |
| 20 | 2006 | 70 |
About Lan Jiang
Lan Jiang is a scholar working on Aging, Neurology, Clinical Biochemistry, Nephrology and Geriatrics and Gerontology, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Neurological diseases and metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), DNA Repair Mechanisms (4 papers), Preterm Birth and Chorioamnionitis (4 papers), Neonatal Respiratory Health Research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (483 citations), Ophthalmology (157 citations), Cognitive Neuroscience (321 citations), Epidemiology (510 citations) and Clinical Biochemistry (97 citations). Lan Jiang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James S. Sutcliffe, Jacob L. McCauley, Chun Li, Susan E. Folstein, Scott M. Williams, Ryan Delahanty, Yifeng Zhou, Jian Zheng, Qiao Han and Harish C. Prasad. Their work appears in journals such as Annals of Human Genetics, American Journal of Obstetrics and Gynecology, DNA and Cell Biology, Ophthalmology and PLoS ONE.
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.