Ling Lin
Impact in
- Aging top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- FOXO transcription factor regulation 5
- S100 Proteins and Annexins 5
- Immunology 17
- Co-authors
- Stanford L. Peng (7 shared papers)Kebin Hu (18 shared papers)Jonathan D. Hron (1 shared paper)Danielle Morse (4 shared papers)Andrea Gerth (3 shared papers)Augustine M.K. Choi (2 shared papers)Jiaofei Cao (2 shared papers)Stefan W. Ryter (1 shared paper)
- Journals
- American Journal Of Pathology (3 papers)PLoS ONE (3 papers)International Journal of Molecular Sciences (3 papers)Journal of Biological Chemistry (3 papers)Plant Production Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Lin
95 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 134
- Aging 73
- Cancer Research 397
- Immunology 469
- Molecular Biology 1.5k
- Nephrology 102
Countries citing papers authored by Ling Lin
This map shows the geographic impact of Ling Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Lin more than expected).
Fields of papers citing papers by Ling Lin
This network shows the impact of papers produced by Ling Lin. 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 Lin. The network helps show where Ling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Lin, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 369 | |
| 2 | 2012 | 303 | |
| 3 | 2003 | 230 | |
| 4 | 2009 | 161 | |
| 5 | 2004 | 120 | |
| 6 | 2009 | 105 | |
| 7 | 2019 | 78 | |
| 8 | 2004 | 77 | |
| 9 | 2014 | 71 | |
| 10 | 2014 | 69 | |
| 11 | 2006 | 68 | |
| 12 | 2020 | 61 | |
| 13 | 2008 | 60 | |
| 14 | 2012 | 54 | |
| 15 | 2020 | 50 | |
| 16 | 1996 | 45 | |
| 17 | 2021 | 43 | |
| 18 | 2014 | 42 | |
| 19 | 2002 | 41 | |
| 20 | Tissue plasminogen activator and inflammation: from phenotype to signaling mechanisms. | 2014 | 38 |
About Ling Lin
Ling Lin is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Hematology, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), Viral Infections and Vectors (6 papers), Protease and Inhibitor Mechanisms (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), FOXO transcription factor regulation (5 papers), S100 Proteins and Annexins (5 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Aging (73 citations), Cancer Research (397 citations), Immunology (469 citations), Molecular Biology (1.5k citations) and Nephrology (102 citations). Ling Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Stanford L. Peng, Kebin Hu, Jonathan D. Hron, Danielle Morse, Andrea Gerth, Augustine M.K. Choi, Jiaofei Cao, Stefan W. Ryter, Alexander Geyer and Jeffrey A. Haspel. Their work appears in journals such as American Journal Of Pathology, PLoS ONE, International Journal of Molecular Sciences, Journal of Biological Chemistry and Plant Production Science.
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.