Li Ren
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
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- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 15
- Pancreatic and Hepatic Oncology Research 3
- Cytokine Signaling Pathways and Interactions 3
- Peptidase Inhibition and Analysis 2
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- Parasitic infections in humans and animals 5
- Co-authors
- Zhi YaoYang YuLi WangZhifeng ZhuRong LuLi JiaDong DongYunli Zhou
- Journals
- Medicine (2 papers)Clinical Infectious Diseases (1 paper)Orphanet Journal of Rare Diseases (1 paper)Annals of Translational Medicine (1 paper)Cellular Physiology and Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Ren
31 papers receiving 603 citations
Peers
Comparison fields: 5 of 78
- Oncology 250
- Cancer Research 127
- Immunology 158
- Pathology and Forensic Medicine 80
- Pulmonary and Respiratory Medicine 129
Countries citing papers authored by Li Ren
This map shows the geographic impact of Li Ren'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 Li Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ren more than expected).
Fields of papers citing papers by Li Ren
This network shows the impact of papers produced by Li Ren. 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 Li Ren. The network helps show where Li Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Ren, 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 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 7 | |
| 8 | 2018 | 53 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 8 | |
| 12 | 2017 | 27 | |
| 13 | 2016 | 18 | |
| 14 | 2016 | 37 | |
| 15 | 2013 | 2 | |
| 16 | 2013 | 53 | |
| 17 | 2010 | 19 | |
| 18 | 2009 | 46 | |
| 19 | 2009 | 9 | |
| 20 | 2008 | 7 |
About Li Ren
Li Ren is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Urology and Parasitology, having authored 31 papers that have together received 610 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (5 papers), Congenital Anomalies and Fetal Surgery (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), BRCA gene mutations in cancer (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Oncology (250 citations), Cancer Research (127 citations), Immunology (158 citations), Pathology and Forensic Medicine (80 citations) and Pulmonary and Respiratory Medicine (129 citations). Li Ren has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhi Yao, Yang Yu, Li Wang, Zhifeng Zhu, Rong Lu, Li Jia, Dong Dong, Yunli Zhou, Aimin Zhang and John Chan. Their work appears in journals such as Medicine, Clinical Infectious Diseases, Orphanet Journal of Rare Diseases, Annals of Translational Medicine and Cellular Physiology and Biochemistry.
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.