Arthur I. Skoultchi
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 47
- Epigenetics and DNA Methylation 36
- RNA Research and Splicing 35
- RNA and protein synthesis mechanisms 26
- RNA modifications and cancer 19
- RNA Interference and Gene Delivery 13
- CRISPR and Genetic Engineering 13
- Hematology top 1%
- Genetics top 2%
- Genetics top 1%
- Immunology top 5%
-
- Erythrocyte Function and Pathophysiology 12
- Co-authors
- Yuhong FanHerbert M. LachmanChristopher L. WoodcockFarshid RadparvarTomáš StopkaNatasha RekhtmanIgor MatushanskyDmitry V. Fyodorov
- Cited by
- Molecular BiologyHematologyGenetics
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Arthur I. Skoultchi
145 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 8.1k
- Hematology 719
- Genetics 555
- Genetics 1.5k
- Immunology 897
Countries citing papers authored by Arthur I. Skoultchi
This map shows the geographic impact of Arthur I. Skoultchi'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 Arthur I. Skoultchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur I. Skoultchi more than expected).
Fields of papers citing papers by Arthur I. Skoultchi
This network shows the impact of papers produced by Arthur I. Skoultchi. 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 Arthur I. Skoultchi. The network helps show where Arthur I. Skoultchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arthur I. Skoultchi, 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 | 2023 | 3 | |
| 2 | 2020 | 53 | |
| 3 | 2016 | 43 | |
| 4 | 2016 | 10 | |
| 5 | 2015 | 33 | |
| 6 | 2014 | 6 | |
| 7 | 2014 | 20 | |
| 8 | 2013 | 49 | |
| 9 | 2009 | 21 | |
| 10 | 2007 | 129 | |
| 11 | Developmentally Regulated Tissue–specific Expression of the Mouse A–crystallin Requires Establishment of a Broad H3K9 Acetylation Domain Including the Upstream Region DCR1, Activated via FGF2 Signaling | 2005 | 1 |
| 12 | 2005 | 119 | |
| 13 | 2003 | 85 | |
| 14 | 1999 | 68 | |
| 15 | 1999 | 391 | |
| 16 | 1997 | 21 | |
| 17 | Mouse Sin3A interacts with and can functionally substitute for the amino-terminal repression of the Myc antagonist Mxi1. | 1996 | 36 |
| 18 | 1989 | 15 | |
| 19 | 1986 | 13 | |
| 20 | 1985 | 18 |
About Arthur I. Skoultchi
Arthur I. Skoultchi is a scholar working on Molecular Biology, Hematology and Genetics, having authored 148 papers that have together received 9.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (47 papers), Epigenetics and DNA Methylation (36 papers), RNA Research and Splicing (35 papers), RNA and protein synthesis mechanisms (26 papers), RNA modifications and cancer (19 papers), RNA Interference and Gene Delivery (13 papers), CRISPR and Genetic Engineering (13 papers) and Erythrocyte Function and Pathophysiology (12 papers). The work is most often cited by research in Molecular Biology (8.1k citations), Hematology (719 citations) and Genetics (555 citations). Arthur I. Skoultchi has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Yuhong Fan, Herbert M. Lachman, Christopher L. Woodcock, Farshid Radparvar, Tomáš Stopka, Natasha Rekhtman, Igor Matushansky, Dmitry V. Fyodorov, Carl L. Schildkraut and Todd Evans. Their work appears in journals such as Nature, Science and Cell.
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.