Qingcong Lin
Impact in
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- Carcinogens and Genotoxicity Assessment
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Angiogenesis and VEGF in Cancer
Papers in
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- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 2
- Oncology 7
- Lymphatic System and Diseases 2
- Co-authors
- Arthur I. Skoultchi (4 shared papers)Raju Kucherlapati (4 shared papers)Allen Sirotkin (1 shared paper)Allan Clark (2 shared papers)Thomas A. Kunkel (2 shared papers)Yuan Tao (2 shared papers)Dai Fukumura (3 shared papers)Rakesh K. Jain (3 shared papers)
- Journals
- Cancer Research (9 papers)Oncotarget (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genomics (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qingcong Lin
23 papers receiving 743 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 152
- Molecular Biology 559
- Reproductive Medicine 43
- Oncology 134
- Biochemistry 28
Countries citing papers authored by Qingcong Lin
This map shows the geographic impact of Qingcong 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 Qingcong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingcong Lin more than expected).
Fields of papers citing papers by Qingcong Lin
This network shows the impact of papers produced by Qingcong 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 Qingcong Lin. The network helps show where Qingcong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingcong 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 108 | |
| 2 | 2000 | 107 | |
| 3 | 2003 | 92 | |
| 4 | 2006 | 87 | |
| 5 | 2006 | 75 | |
| 6 | 2013 | 60 | |
| 7 | 2014 | 42 | |
| 8 | 2004 | 40 | |
| 9 | 2009 | 36 | |
| 10 | 2008 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2001 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2012 | 16 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Qingcong Lin
Qingcong Lin is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Physiology and Immunology, having authored 25 papers that have together received 759 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Lymphatic System and Diseases (2 papers), Cancer Research and Treatments (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (152 citations), Molecular Biology (559 citations), Reproductive Medicine (43 citations), Oncology (134 citations) and Biochemistry (28 citations). Qingcong Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Arthur I. Skoultchi, Raju Kucherlapati, Allen Sirotkin, Allan Clark, Thomas A. Kunkel, Yuan Tao, Dai Fukumura, Rakesh K. Jain, Jeroen Hagendoorn and Timothy P. Padera. Their work appears in journals such as Cancer Research, Oncotarget, Proceedings of the National Academy of Sciences, Genomics and Blood.
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.