Lu Jin
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 3
- CAR-T cell therapy research 1
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Weimin Ma (1 shared paper)James S. Thorp (1 shared paper)Steven M. Rovnyak (1 shared paper)Chih‐Wen Liu (1 shared paper)Fan Li (1 shared paper)Wei Zhu (1 shared paper)Zhong Chen (1 shared paper)Dong Li (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (1 paper)ACS Biomaterials Science & Engineering (1 paper)Pharmacology (1 paper)BioMed Research International (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lu Jin
15 papers receiving 483 citations
Peers
Comparison fields: 5 of 87
- Oncology 157
- Hepatology 40
- Immunology 106
- Behavioral Neuroscience 9
- Neurology 20
Countries citing papers authored by Lu Jin
This map shows the geographic impact of Lu Jin'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 Lu Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Jin more than expected).
Fields of papers citing papers by Lu Jin
This network shows the impact of papers produced by Lu Jin. 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 Lu Jin. The network helps show where Lu Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Jin, 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 | 2016 | 194 | |
| 2 | 1995 | 48 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2015 | 38 | |
| 6 | 2021 | 35 | |
| 7 | 2009 | 25 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 14 | |
| 10 | [A prospective comparison between surgery alone and postoperative chemoradiotherapy for locally advanced esophageal squamous cell carcinoma]. | 2010 | 12 |
| 11 | 2017 | 12 | |
| 12 | RESEARCH ON THE DC FAULTS INMULTI-TERMINAL DC TRANSMISSIONSYSTEM BASED ON MMC | 2013 | 10 |
| 13 | 2025 | 7 | |
| 14 | 2018 | 1 | |
| 15 | 2014 | 1 | |
| 16 | Near infrared spectroscopic model for determinating total catechins in tea polyphenol powder based on radical basis function network | 2006 | 0 |
About Lu Jin
Lu Jin is a scholar working on Oncology, Energy Engineering and Power Technology, Rehabilitation, Nephrology and Safety, Risk, Reliability and Quality, having authored 16 papers that have together received 491 indexed citations. Recurring topics across this work include Power Systems Fault Detection (1 paper), EFL/ESL Teaching and Learning (1 paper), Second Language Acquisition and Learning (1 paper), Second Language Learning and Teaching (1 paper), CAR-T cell therapy research (1 paper), Wind Energy Research and Development (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Surgical Sutures and Adhesives (1 paper). The work is most often cited by research in Oncology (157 citations), Hepatology (40 citations), Immunology (106 citations), Behavioral Neuroscience (9 citations) and Neurology (20 citations). Lu Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weimin Ma, James S. Thorp, Steven M. Rovnyak, Chih‐Wen Liu, Fan Li, Wei Zhu, Zhong Chen, Dong Li, Siji Wang and Minli Chen. Their work appears in journals such as IEEE Transactions on Power Systems, ACS Biomaterials Science & Engineering, Pharmacology, BioMed Research International and Clinical Cancer Research.
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.