Lan Ji
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Oncology 4
- Cancer Immunotherapy and Biomarkers 3
- Cytokine Signaling Pathways and Interactions 1
-
- Renal Diseases and Glomerulopathies 1
- Co-authors
- Jörg J. Jacoby (1 shared paper)Kerry Strong Russell (1 shared paper)Mu-Gen Liu (1 shared paper)April Kalinowski (1 shared paper)Qian Gao (1 shared paper)Xin-Yuan Fu (1 shared paper)Michael D. Schneider (1 shared paper)En Li (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science Immunology (1 paper)PLoS ONE (1 paper)Cancer Discovery (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Lan Ji
9 papers receiving 1.3k citations
Lan Ji's Hit Papers
Peers
Comparison fields: 5 of 67
- Oncology 669
- Immunology 169
- Hepatology 62
- Cardiology and Cardiovascular Medicine 138
- Cell Biology 60
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 | Fibrinogen-like Protein 1 Is a Major Immune Inhibitory Ligand of LAG-3 Hit paper breakdown → | 2018 | 730 |
| 2 | 2003 | 314 | |
| 3 | 2021 | 113 | |
| 4 | 2011 | 72 | |
| 5 | 2010 | 67 | |
| 6 | 2024 | 21 | |
| 7 | 2022 | 18 | |
| 8 | 2016 | 9 | |
| 9 | Basic pluripotent stem cell culture protocols | 2012 | 5 |
About Lan Ji
Lan Ji is a scholar working on Oncology, Nephrology, Cell Biology, Cellular and Molecular Neuroscience and Immunology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Pluripotent Stem Cells Research (1 paper), Renal Diseases and Glomerulopathies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cellular Mechanics and Interactions (1 paper), T-cell and B-cell Immunology (1 paper), Cardiac Fibrosis and Remodeling (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Oncology (669 citations), Immunology (169 citations), Hepatology (62 citations), Cardiology and Cardiovascular Medicine (138 citations) and Cell Biology (60 citations). Lan Ji has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Jörg J. Jacoby, Kerry Strong Russell, Mu-Gen Liu, April Kalinowski, Qian Gao, Xin-Yuan Fu, Michael D. Schneider, En Li, Michael C. Stankewich and Jon S. Morrow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Immunology, PLoS ONE, Cancer Discovery and Journal of Cell 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.