H Qi
Impact in
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- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- Chromatin Remodeling and Cancer
Papers in
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- Melanoma and MAPK Pathways 2
- Protein Degradation and Inhibitors 1
- Chromatin Remodeling and Cancer 1
- Natural product bioactivities and synthesis 1
- Protein Kinase Regulation and GTPase Signaling 1
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Simon Halegoua (2 shared papers)Gabriella D’Arcangelo (1 shared paper)Robert C. Armstrong (1 shared paper)Thomas M. Roberts (1 shared paper)Miranda Yeung (1 shared paper)Srinivas Vinod Saladi (1 shared paper)Ivana L. de la Serna (1 shared paper)Wei Peng (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (1 paper)Oncogene (1 paper)Endocrine Related Cancer (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
H Qi
6 papers receiving 315 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 249
- Cancer Research 54
- Obstetrics and Gynecology 24
- Cell Biology 49
- Cellular and Molecular Neuroscience 52
Countries citing papers authored by H Qi
This map shows the geographic impact of H 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 H Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Qi more than expected).
Fields of papers citing papers by H Qi
This network shows the impact of papers produced by H 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 H Qi. The network helps show where H Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside H 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 | 1993 | 159 | |
| 2 | 2009 | 64 | |
| 3 | 2019 | 41 | |
| 4 | 2008 | 38 | |
| 5 | 2017 | 15 | |
| 6 | 1991 | 7 |
About H Qi
H Qi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Demography and Cancer Research, having authored 6 papers that have together received 324 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (2 papers), Protein Degradation and Inhibitors (1 paper), Chromatin Remodeling and Cancer (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer, Lipids, and Metabolism (1 paper), Natural product bioactivities and synthesis (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Molecular Biology (249 citations), Cancer Research (54 citations), Obstetrics and Gynecology (24 citations), Cell Biology (49 citations) and Cellular and Molecular Neuroscience (52 citations). H Qi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Simon Halegoua, Gabriella D’Arcangelo, Robert C. Armstrong, Thomas M. Roberts, Miranda Yeung, Srinivas Vinod Saladi, Ivana L. de la Serna, Wei Peng, Jipeng Wan and Qian Zhou. Their work appears in journals such as Journal of Cellular Biochemistry, Oncogene, Endocrine Related Cancer, Proceedings of the National Academy of Sciences and Cold Spring Harbor Symposia on Quantitative Biology.
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.