Runnan Qi
Impact in
-
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Advanced Biosensing Techniques and Applications
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Advanced biosensing and bioanalysis techniques
- Fungal and yeast genetics research
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Gene expression and cancer classification 2
- Molecular Biology Techniques and Applications 2
- Genomics and Chromatin Dynamics 1
-
- Nanomaterials for catalytic reactions 1
- Co-authors
- John Quackenbush (3 shared papers)Renee Gaspard (2 shared papers)S. Dharap (3 shared papers)Cyril G. Gay (1 shared paper)Joanne E. Hughes (1 shared paper)Erik Snesrud (1 shared paper)Priti S. Hegde (2 shared papers)Emmanuel Lazaridis (1 shared paper)
- Journals
- BioTechniques (3 papers)Atherosclerosis Supplements (1 paper)Journal of Colloid and Interface Science (1 paper)Journal of Surgical Research (1 paper)Reproductive Biology and Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Runnan Qi
6 papers receiving 819 citations
Runnan Qi's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 606
- Biophysics 34
- Cancer Research 67
- Genetics 99
- Plant Science 97
Countries citing papers authored by Runnan Qi
This map shows the geographic impact of Runnan 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 Runnan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runnan Qi more than expected).
Fields of papers citing papers by Runnan Qi
This network shows the impact of papers produced by Runnan 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 Runnan Qi. The network helps show where Runnan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Runnan 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
| # | Work | ||
|---|---|---|---|
| 1 | A Concise Guide to cDNA Microarray Analysis Hit paper breakdown → | 2000 | 737 |
| 2 | 2001 | 109 | |
| 3 | 2024 | 7 | |
| 4 | 2001 | 4 | |
| 5 | A concise guide to microarray analysis. | 2000 | 3 |
| 6 | 2025 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2008 | 0 |
About Runnan Qi
Runnan Qi is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 8 papers that have together received 862 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (1 paper), Nanomaterials for catalytic reactions (1 paper), Copper-based nanomaterials and applications (1 paper), Thyroid Disorders and Treatments (1 paper), Advanced Photocatalysis Techniques (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Molecular Biology (606 citations), Biophysics (34 citations), Cancer Research (67 citations), Genetics (99 citations) and Plant Science (97 citations). Runnan Qi has collaborated with scholars based in China, United States and Italy. Frequent co-authors include John Quackenbush, Renee Gaspard, S. Dharap, Cyril G. Gay, Joanne E. Hughes, Erik Snesrud, Priti S. Hegde, Emmanuel Lazaridis, Emilia Dauway and T. Yeatman. Their work appears in journals such as BioTechniques, Atherosclerosis Supplements, Journal of Colloid and Interface Science, Journal of Surgical Research and Reproductive Biology and Endocrinology.
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.