Stephen Archacki
- Co-authors
- Qing WangEric J. TopolGeorge O. AngheloiuChristine S. MoravecShaoqi RaoQiuyun ChenGong-Qing ShenMichael Kinter
- Topics
- Cardiovascular Function and Risk Factors (3 papers)Galectins and Cancer Biology (3 papers)Genetic Associations and Epidemiology (2 papers)
- Journals
- Journal of Biological ChemistryThe FASEB JournalBiochemical and Biophysical Research Communications
- Partner nations
- United StatesChinaItaly
In The Last Decade
Stephen Archacki
20 papers receiving 481 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 291
- Cancer Research 141
- Cardiology and Cardiovascular Medicine 83
- Immunology 74
- Genetics 58
Countries citing papers authored by Stephen Archacki
This map shows the geographic impact of Stephen Archacki'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 Stephen Archacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Archacki more than expected).
Fields of papers citing papers by Stephen Archacki
This network shows the impact of papers produced by Stephen Archacki. 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 Stephen Archacki. The network helps show where Stephen Archacki may publish in the future.
Co-authorship network of co-authors of Stephen Archacki
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Archacki. A scholar is included among the top collaborators of Stephen Archacki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Archacki. Stephen Archacki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 20 | |
| 3 | 11 | |
| 4 | 29 | |
| 5 | 51 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | Whole exome sequencing identifies a novel NRL mutation in a Chinese family with autosomal dominant retinitis pigmentosa. | 12 |
| 9 | 20 | |
| 10 | 22 | |
| 11 | 26 | |
| 12 | 21 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | MOLECULAR IDENTIFICATION OF NOVEL GENES ASSOCIATED WITH ATHEROSCLEROSIS | 1 |
| 16 | 17 | |
| 17 | 8 | |
| 18 | 22 | |
| 19 | 68 | |
| 20 | 111 |
About Stephen Archacki
Stephen Archacki is a scholar working on Cancer Research, Immunology and Allergy and Immunology, having authored 20 papers that have together received 487 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Galectins and Cancer Biology (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (141 citations), Molecular Biology (291 citations) and Cardiology and Cardiovascular Medicine (83 citations). Stephen Archacki has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Qing Wang, Eric J. Topol, George O. Angheloiu, Christine S. Moravec, Qing Wang, Shaoqi Rao, Qiuyun Chen, Gong-Qing Shen, Michael Kinter and Fan Wang. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.
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.