Lin Qi
Impact in
- Physiology top 10%
- Nitric Oxide and Endothelin Effects
-
- Renin-Angiotensin System Studies
- Blood Pressure and Hypertension Studies
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 9
- Co-authors
- Paola Rogliani (2 shared papers)Joel Moss (2 shared papers)Manfredi Tesauro (1 shared paper)Prem Prashant Chaudhary (1 shared paper)Walter C. Thompson (1 shared paper)Xing‐Ding Zhang (9 shared papers)Marian DiFiglia (2 shared papers)Fang Lin (2 shared papers)
- Journals
- Neuro-Oncology (3 papers)PLoS ONE (3 papers)ACS Applied Materials & Interfaces (2 papers)Cancer Research (2 papers)Oncogene (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lin Qi
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Physiology 340
- Cardiology and Cardiovascular Medicine 257
- Genetics 100
- Cancer Research 126
- Endocrinology, Diabetes and Metabolism 139
Countries citing papers authored by Lin Qi
This map shows the geographic impact of Lin Qi'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 Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Qi more than expected).
Fields of papers citing papers by Lin Qi
This network shows the impact of papers produced by Lin Qi. 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 Qi. The network helps show where Lin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Qi, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 445 | |
| 2 | 2012 | 115 | |
| 3 | 2020 | 93 | |
| 4 | 2013 | 73 | |
| 5 | 2018 | 65 | |
| 6 | 1999 | 58 | |
| 7 | 2018 | 45 | |
| 8 | 2012 | 42 | |
| 9 | 2010 | 40 | |
| 10 | 2016 | 36 | |
| 11 | 1990 | 29 | |
| 12 | 2015 | 29 | |
| 13 | 2023 | 27 | |
| 14 | 2013 | 23 | |
| 15 | 2018 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 2016 | 16 | |
| 18 | 2021 | 15 | |
| 19 | Role of kisspeptin/GPR54 in the first trimester trophoblast of women with a history of recurrent spontaneous abortion. | 2017 | 13 |
| 20 | The in vivo chondrogenesis of cartilage stem/progenitor cells from auricular cartilage and the perichondrium. | 2019 | 13 |
About Lin Qi
Lin Qi is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Immunology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Autophagy in Disease and Therapy (6 papers), Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related molecular mechanisms research (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Physiology (340 citations), Cardiology and Cardiovascular Medicine (257 citations), Genetics (100 citations), Cancer Research (126 citations) and Endocrinology, Diabetes and Metabolism (139 citations). Lin Qi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Paola Rogliani, Joel Moss, Manfredi Tesauro, Prem Prashant Chaudhary, Walter C. Thompson, Xing‐Ding Zhang, Marian DiFiglia, Fang Lin, Jin Wang and Pingting Yang. Their work appears in journals such as Neuro-Oncology, PLoS ONE, ACS Applied Materials & Interfaces, Cancer Research and Oncogene.
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.