Ling Ling
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Growth Hormone and Insulin-like Growth Factors
Papers in
- Surgery 11
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- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Peter E. Lobie (4 shared papers)Tao Zhu (3 shared papers)Martin L. Hibberd (6 shared papers)Ralph Graichen (1 shared paper)Eyleen L. K. Goh (1 shared paper)Christopher H. Mody (3 shared papers)Stuart T. Nichol (1 shared paper)Amy L. Hartman (1 shared paper)
In The Last Decade
Ling Ling
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Transplantation 83
- Endocrinology, Diabetes and Metabolism 222
- Infectious Diseases 234
- Geriatrics and Gerontology 35
- Immunology 185
Countries citing papers authored by Ling Ling
This map shows the geographic impact of Ling Ling'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 Ling Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ling more than expected).
Fields of papers citing papers by Ling Ling
This network shows the impact of papers produced by Ling Ling. 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 Ling Ling. The network helps show where Ling Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ling, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 206 | |
| 2 | 2009 | 206 | |
| 3 | 2002 | 115 | |
| 4 | 2008 | 88 | |
| 5 | 2018 | 86 | |
| 6 | Resveratrol Induces Apoptosis and Autophagy in T-cell Acute Lymphoblastic Leukemia Cells by Inhibiting Akt/mTOR and Activating p38-MAPK | 2013 | 83 |
| 7 | 2002 | 68 | |
| 8 | 2011 | 52 | |
| 9 | 2003 | 37 | |
| 10 | 2022 | 29 | |
| 11 | 2004 | 29 | |
| 12 | 2013 | 27 | |
| 13 | 2022 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2010 | 22 | |
| 16 | 2015 | 21 | |
| 17 | 2000 | 20 | |
| 18 | 2013 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2021 | 14 |
About Ling Ling
Ling Ling is a scholar working on Surgery, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Fungal Infections and Studies (4 papers), Mesenchymal stem cell research (3 papers), Vibrio bacteria research studies (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Malaria Research and Control (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Transplantation (83 citations), Endocrinology, Diabetes and Metabolism (222 citations), Infectious Diseases (234 citations), Geriatrics and Gerontology (35 citations) and Immunology (185 citations). Ling Ling has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Peter E. Lobie, Tao Zhu, Martin L. Hibberd, Ralph Graichen, Eyleen L. K. Goh, Christopher H. Mody, Stuart T. Nichol, Amy L. Hartman, Jason Spurrell and Jian Fei Wang. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, BioMed Research International, The American Journal of Emergency Medicine and American Journal of Transplantation.
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.