Robert K. Slany
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
Papers in
- Hematology 38
- Acute Myeloid Leukemia Research 37
-
- Genomics and Chromatin Dynamics 24
- Protein Degradation and Inhibitors 19
- RNA modifications and cancer 10
- Cancer-related gene regulation 10
- Ubiquitin and proteasome pathways 9
- Co-authors
- María-Paz García-CuéllarJay L. HessChristian BachMichael L. ClearyThomas A. MilneCatherine LavauBernd B. ZeisigArndt Borkhardt
- Journals
- Blood (11 papers)Oncogene (7 papers)Leukemia (4 papers)Haematologica (4 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Robert K. Slany
66 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 88
- Hematology 1.5k
- Molecular Biology 3.1k
- Genetics 246
- Cancer Research 198
- Oncology 304
Countries citing papers authored by Robert K. Slany
This map shows the geographic impact of Robert K. Slany'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 Robert K. Slany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert K. Slany more than expected).
Fields of papers citing papers by Robert K. Slany
This network shows the impact of papers produced by Robert K. Slany. 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 Robert K. Slany. The network helps show where Robert K. Slany may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert K. Slany, 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 | 2022 | 12 | |
| 2 | 2020 | 4 | |
| 3 | 2019 | 11 | |
| 4 | 2016 | 51 | |
| 5 | 2015 | 2 | |
| 6 | 2014 | 30 | |
| 7 | 2013 | 40 | |
| 8 | 2012 | 53 | |
| 9 | 2010 | 110 | |
| 10 | 2009 | 28 | |
| 11 | 2007 | 164 | |
| 12 | 2005 | 141 | |
| 13 | 2005 | 88 | |
| 14 | 2003 | 42 | |
| 15 | 2003 | 38 | |
| 16 | 2000 | 24 | |
| 17 | 1998 | 197 | |
| 18 | 1995 | 8 | |
| 19 | 1994 | 37 | |
| 20 | 1994 | 35 |
About Robert K. Slany
Robert K. Slany is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (37 papers), Genomics and Chromatin Dynamics (24 papers), Protein Degradation and Inhibitors (19 papers), RNA modifications and cancer (10 papers), Cancer-related gene regulation (10 papers), Ubiquitin and proteasome pathways (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (1.5k citations), Molecular Biology (3.1k citations), Genetics (246 citations), Cancer Research (198 citations) and Oncology (304 citations). Robert K. Slany has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include María-Paz García-Cuéllar, Jay L. Hess, Christian Bach, Michael L. Cleary, Thomas A. Milne, Catherine Lavau, Bernd B. Zeisig, Arndt Borkhardt, Emanuel Maethner and Uta Fuchs. Their work appears in journals such as Blood, Oncogene, Leukemia, Haematologica and Molecular and Cellular 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.