Lan Jiang
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
Papers in
-
- DNA Repair Mechanisms 4
- Receptor Mechanisms and Signaling 3
- Epigenetics and DNA Methylation 3
- Physiology 10
- Co-authors
- James S. Sutcliffe (3 shared papers)Jacob L. McCauley (8 shared papers)Chun Li (4 shared papers)Susan E. Folstein (2 shared papers)Ryan Delahanty (2 shared papers)Scott M. Williams (12 shared papers)Yifeng Zhou (14 shared papers)Jian Zheng (14 shared papers)
- Journals
- Annals of Human Genetics (6 papers)American Journal of Obstetrics and Gynecology (3 papers)Ophthalmology (3 papers)PLoS ONE (3 papers)DNA and Cell Biology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lan Jiang
86 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 141
- Cognitive Neuroscience 324
- Genetics 418
- Ophthalmology 121
- Aging 24
- Epidemiology 415
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-authors
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
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 322 | |
| 2 | 2015 | 183 | |
| 3 | 2005 | 143 | |
| 4 | 2010 | 122 | |
| 5 | 2019 | 92 | |
| 6 | 2020 | 77 | |
| 7 | 2006 | 76 | |
| 8 | 2006 | 74 | |
| 9 | 2020 | 73 | |
| 10 | 2013 | 63 | |
| 11 | 2014 | 60 | |
| 12 | 2006 | 56 | |
| 13 | 2012 | 55 | |
| 14 | 2012 | 50 | |
| 15 | 2008 | 49 | |
| 16 | 2007 | 48 | |
| 17 | 2013 | 45 | |
| 18 | 2011 | 45 | |
| 19 | 2019 | 45 | |
| 20 | 2021 | 43 |
About Lan Jiang
Lan Jiang is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), DNA Repair Mechanisms (4 papers), Preterm Birth and Chorioamnionitis (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Neurological diseases and metabolism (4 papers), Receptor Mechanisms and Signaling (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cognitive Neuroscience (324 citations), Genetics (418 citations), Ophthalmology (121 citations), Aging (24 citations) and Epidemiology (415 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, Ryan Delahanty, Scott M. Williams, Yifeng Zhou, Jian Zheng, Harish C. Prasad and Randy Blakely. Their work appears in journals such as Annals of Human Genetics, American Journal of Obstetrics and Gynecology, Ophthalmology, PLoS ONE and DNA and Cell 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.