Li Long
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Fibroblast Growth Factor Research 3
- Oncology 9
- Bone health and treatments 3
- Co-authors
- Pnina Brodt (3 shared papers)Renato Baserga (1 shared paper)R Rubin (1 shared paper)Raphael Rubin (1 shared paper)John Nip (1 shared paper)Aiguo Wu (1 shared paper)James A. Zanghi (2 shared papers)Zhanguo Li (3 shared papers)
- Journals
- Blood (3 papers)Annals of the Rheumatic Diseases (3 papers)Cancer Research (2 papers)eLife (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Long
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 250
- Rheumatology 194
- Endocrinology, Diabetes and Metabolism 153
- Immunology 192
- Molecular Biology 560
Countries citing papers authored by Li Long
This map shows the geographic impact of Li Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Long more than expected).
Fields of papers citing papers by Li Long
This network shows the impact of papers produced by Li Long. 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 Long. The network helps show where Li Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 179 | |
| 2 | Loss of the metastatic phenotype in murine carcinoma cells expressing an antisense RNA to the insulin-like growth factor receptor. | 1995 | 125 |
| 3 | 2013 | 107 | |
| 4 | 2016 | 92 | |
| 5 | 2012 | 72 | |
| 6 | 1998 | 72 | |
| 7 | Paracrine growth stimulation by hepatocyte-derived insulin-like growth factor-1: a regulatory mechanism for carcinoma cells metastatic to the liver. | 1994 | 60 |
| 8 | 2019 | 59 | |
| 9 | 2003 | 51 | |
| 10 | 2022 | 48 | |
| 11 | 2017 | 37 | |
| 12 | 2024 | 32 | |
| 13 | 2018 | 32 | |
| 14 | 2017 | 29 | |
| 15 | 2018 | 26 | |
| 16 | 2010 | 26 | |
| 17 | Circulating Dickkopf-1 and osteoprotegerin in patients with early and longstanding rheumatoid arthritis. | 2010 | 24 |
| 18 | 2020 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2022 | 17 |
About Li Long
Li Long is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Fibroblast Growth Factor Research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Bone health and treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Biomarkers in Disease Mechanisms (2 papers), Immune cells in cancer (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Cancer Research (250 citations), Rheumatology (194 citations), Endocrinology, Diabetes and Metabolism (153 citations), Immunology (192 citations) and Molecular Biology (560 citations). Li Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pnina Brodt, Renato Baserga, R Rubin, Raphael Rubin, John Nip, Aiguo Wu, James A. Zanghi, Zhanguo Li, Jun Sun and Xiaofang Xu. Their work appears in journals such as Blood, Annals of the Rheumatic Diseases, Cancer Research, eLife and Experimental Cell 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.