Susanne Steggerda
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- RNA Research and Splicing 5
- Nuclear Structure and Function 4
- Histone Deacetylase Inhibitors Research 3
- DNA Repair Mechanisms 2
-
- Cancer Research and Treatments 7
- Co-authors
- Bryce M. Paschal (4 shared papers)W. Scott Moye‐Rowley (2 shared papers)Sean T. Coleman (1 shared paper)Eric A. Epping (1 shared paper)John A. Wemmie (1 shared paper)Joseph J. Buggy (5 shared papers)David Auble (1 shared paper)Michelle Francesco (3 shared papers)
- Journals
- Cancer Research (6 papers)Journal of Biological Chemistry (2 papers)European Journal of Cancer (2 papers)Blood (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Susanne Steggerda
23 papers receiving 690 citations
Peers
Comparison fields: 5 of 71
- Genetics 162
- Pathology and Forensic Medicine 137
- Molecular Biology 451
- Immunology 94
- Cell Biology 63
Countries citing papers authored by Susanne Steggerda
This map shows the geographic impact of Susanne Steggerda'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 Susanne Steggerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Steggerda more than expected).
Fields of papers citing papers by Susanne Steggerda
This network shows the impact of papers produced by Susanne Steggerda. 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 Susanne Steggerda. The network helps show where Susanne Steggerda may publish in the future.
Co-authors
The 25 scholars most cited alongside Susanne Steggerda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 160 | |
| 2 | 1999 | 127 | |
| 3 | 1997 | 90 | |
| 4 | 2002 | 54 | |
| 5 | 2000 | 45 | |
| 6 | 2021 | 37 | |
| 7 | 2000 | 36 | |
| 8 | 2013 | 30 | |
| 9 | 2010 | 28 | |
| 10 | 1999 | 25 | |
| 11 | 2018 | 12 | |
| 12 | 2001 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2020 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2008 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2016 | 3 |
About Susanne Steggerda
Susanne Steggerda is a scholar working on Molecular Biology, Biotechnology, Immunology, Cancer Research and Oncology, having authored 23 papers that have together received 701 indexed citations. Recurring topics across this work include Cancer Research and Treatments (7 papers), RNA Research and Splicing (5 papers), Immune cells in cancer (4 papers), Nuclear Structure and Function (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Genetics (162 citations), Pathology and Forensic Medicine (137 citations), Molecular Biology (451 citations), Immunology (94 citations) and Cell Biology (63 citations). Susanne Steggerda has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Bryce M. Paschal, W. Scott Moye‐Rowley, Sean T. Coleman, Eric A. Epping, John A. Wemmie, Joseph J. Buggy, David Auble, Michelle Francesco, Betty Chang and Ben E. Black. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, European Journal of Cancer, Blood 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.