Stephen Archacki
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- Cancer-related gene regulation 2
- Retinal Development and Disorders 2
- Co-authors
- Qing Wang (3 shared papers)Eric J. Topol (5 shared papers)Christine S. Moravec (3 shared papers)George O. Angheloiu (3 shared papers)Qiuyun Chen (7 shared papers)Shaoqi Rao (2 shared papers)Qing Wang (6 shared papers)Gong-Qing Shen (3 shared papers)
- Journals
- Gene (2 papers)Physiological Genomics (2 papers)Human Molecular Genetics (1 paper)RNA Biology (1 paper)Annals of Human Genetics (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Stephen Archacki
20 papers receiving 490 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 124
- Molecular Biology 267
- Immunology 70
- Cardiology and Cardiovascular Medicine 68
- Hematology 31
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-authors
The 25 scholars most cited alongside Stephen Archacki, 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 | 2003 | 112 | |
| 2 | 2003 | 71 | |
| 3 | 2019 | 51 | |
| 4 | 2020 | 29 | |
| 5 | 2012 | 26 | |
| 6 | 2004 | 24 | |
| 7 | 2014 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2007 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2011 | 13 | |
| 14 | Whole exome sequencing identifies a novel NRL mutation in a Chinese family with autosomal dominant retinitis pigmentosa. | 2016 | 12 |
| 15 | 2020 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2006 | 8 | |
| 19 | 2011 | 3 | |
| 20 | MOLECULAR IDENTIFICATION OF NOVEL GENES ASSOCIATED WITH ATHEROSCLEROSIS | 2011 | 1 |
About Stephen Archacki
Stephen Archacki is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Genetics and Immunology, having authored 20 papers that have together received 498 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (2 papers), Cancer-related gene regulation (2 papers), Genomics and Rare Diseases (2 papers), Retinal Development and Disorders (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cell Adhesion Molecules Research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (124 citations), Molecular Biology (267 citations), Immunology (70 citations), Cardiology and Cardiovascular Medicine (68 citations) and Hematology (31 citations). Stephen Archacki has collaborated with scholars based in United States, China and India. Frequent co-authors include Qing Wang, Eric J. Topol, Christine S. Moravec, George O. Angheloiu, Qiuyun Chen, Shaoqi Rao, Qing Wang, Gong-Qing Shen, Michael Kinter and Fan Wang. Their work appears in journals such as Gene, Physiological Genomics, Human Molecular Genetics, RNA Biology and Annals of Human Genetics.
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.