Lan Ji
Impact in
-
- Cardiac Fibrosis and Remodeling
- Viral Infections and Immunology Research
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Erythrocyte Function and Pathophysiology 3
- Reproductive biology and impacts on aquatic species 2
- Co-authors
- Caren C. Helbing (5 shared papers)Qian Gao (1 shared paper)April Kalinowski (1 shared paper)Jörg J. Jacoby (1 shared paper)Mu-Gen Liu (1 shared paper)Xin-Yuan Fu (1 shared paper)Kerry S. Russell (1 shared paper)En Li (1 shared paper)
- Journals
- Aquatic Toxicology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Science (1 paper)Diabetologia (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lan Ji
15 papers receiving 665 citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 141
- Physiology 26
- Health, Toxicology and Mutagenesis 72
- Oncology 139
- Immunology 92
Countries citing papers authored by Lan Ji
This map shows the geographic impact of Lan Ji'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 Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ji more than expected).
Fields of papers citing papers by Lan Ji
This network shows the impact of papers produced by Lan Ji. 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 Ji. The network helps show where Lan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Ji, 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 | 2003 | 295 | |
| 2 | 2011 | 61 | |
| 3 | 2010 | 59 | |
| 4 | 2006 | 57 | |
| 5 | 2007 | 30 | |
| 6 | 2007 | 30 | |
| 7 | 2023 | 28 | |
| 8 | 2005 | 25 | |
| 9 | 2007 | 24 | |
| 10 | 2006 | 20 | |
| 11 | A Method of Multi-Attribute Group Decision-Making Based on the Aggregation Operators for Interval Two-tuple Linguistic Information | 2009 | 16 |
| 12 | 2022 | 15 | |
| 13 | 2016 | 8 | |
| 14 | Basic pluripotent stem cell culture protocols | 2012 | 4 |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Lan Ji
Lan Ji is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Mechanics of Materials and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 673 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Reproductive biology and impacts on aquatic species (2 papers), Chemical Analysis and Environmental Impact (2 papers), Landslides and related hazards (2 papers), Rock Mechanics and Modeling (2 papers), Pancreatic function and diabetes (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (141 citations), Physiology (26 citations), Health, Toxicology and Mutagenesis (72 citations), Oncology (139 citations) and Immunology (92 citations). Lan Ji has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Caren C. Helbing, Qian Gao, April Kalinowski, Jörg J. Jacoby, Mu-Gen Liu, Xin-Yuan Fu, Kerry S. Russell, En Li, Yoshiki Iwamoto and Michael Schneider. Their work appears in journals such as Aquatic Toxicology, Proceedings of the National Academy of Sciences, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Science and Diabetologia.
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.