Lin Zhu
- Molecular Biology
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Physiology top 10%
- Co-authors
- John M. StaffordBrian T. PalmisanoRobert H. EckelChristopher H. EmfingerMelissa MartinezNing LiJingxin LiuPeijun Li
- Topics
- Liver Disease Diagnosis and Treatment (8 papers)Adipose Tissue and Metabolism (7 papers)Pancreatitis Pathology and Treatment (7 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Lin Zhu
72 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 468
- Epidemiology 388
- Endocrinology, Diabetes and Metabolism 375
- Surgery 315
- Physiology 276
Countries citing papers authored by Lin Zhu
This map shows the geographic impact of Lin Zhu'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 Lin Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Zhu more than expected).
Fields of papers citing papers by Lin Zhu
This network shows the impact of papers produced by Lin Zhu. 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 Lin Zhu. The network helps show where Lin Zhu may publish in the future.
Co-authorship network of co-authors of Lin Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Zhu. A scholar is included among the top collaborators of Lin Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Zhu. Lin Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | TACE-HAIC combined with targeted therapy and immunotherapy versus TACE alone for hepatocellular carcinoma with portal vein tumour thrombus: a propensity score matching studybreakdown → | 71 |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 30 | |
| 17 | Sex differences in lipid and lipoprotein metabolismbreakdown → | 357 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | The rudiment assessment for the correlation factors of the quality of life in gastrointestinal cancer patients | 1 |
About Lin Zhu
Lin Zhu is a scholar working on Complementary and alternative medicine, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Adipose Tissue and Metabolism (7 papers) and Pancreatitis Pathology and Treatment (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (375 citations), Cancer Research (243 citations) and Hepatology (127 citations). Lin Zhu has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include John M. Stafford, Brian T. Palmisano, Robert H. Eckel, Christopher H. Emfinger, Melissa Martinez, Ning Li, Jingxin Liu, Peijun Li, Yanbing Xu and Qianping Chen. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.