Steve Abella
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 9
-
- Fibroblast Growth Factor Research 3
- Co-authors
- Michael Boxer (4 shared papers)Leonard M. Klein (4 shared papers)Kathryn S. Kolibaba (5 shared papers)Jing Hu (4 shared papers)Jeff P. Sharman (5 shared papers)Michael Hawkins (2 shared papers)Meihua Wu (2 shared papers)Thomas L. Slovis (1 shared paper)
- Journals
- Blood (10 papers)Journal of Clinical Oncology (2 papers)Annals of Oncology (2 papers)Clinical Cancer Research (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Steve Abella
21 papers receiving 375 citations
Peers
Comparison fields: 5 of 59
- Genetics 115
- Pathology and Forensic Medicine 101
- Hematology 53
- Immunology 72
- Oncology 62
Countries citing papers authored by Steve Abella
This map shows the geographic impact of Steve Abella'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 Steve Abella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Abella more than expected).
Fields of papers citing papers by Steve Abella
This network shows the impact of papers produced by Steve Abella. 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 Steve Abella. The network helps show where Steve Abella may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Abella, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 1996 | 73 | |
| 3 | 1995 | 46 | |
| 4 | 2018 | 20 | |
| 5 | 2001 | 15 | |
| 6 | 2015 | 14 | |
| 7 | 2003 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2015 | 8 | |
| 11 | 2013 | 4 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2011 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2023 | 1 |
About Steve Abella
Steve Abella is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 21 papers that have together received 388 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (6 papers), Bladder and Urothelial Cancer Treatments (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Fibroblast Growth Factor Research (3 papers), Neutropenia and Cancer Infections (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Genetics (115 citations), Pathology and Forensic Medicine (101 citations), Hematology (53 citations), Immunology (72 citations) and Oncology (62 citations). Steve Abella has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Michael Boxer, Leonard M. Klein, Kathryn S. Kolibaba, Jing Hu, Jeff P. Sharman, Michael Hawkins, Meihua Wu, Thomas L. Slovis, Jill Kelly and Robert Lee. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research and Pediatric Research.
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.