Janis L. Abkowitz
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Genetics top 1%
- Virus-based gene therapy research
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 62
- Hematopoietic Stem Cell Transplantation 29
- Acute Myeloid Leukemia Research 23
- Genetics 37
- Virus-based gene therapy research 23
- Hemoglobinopathies and Related Disorders 19
- Co-authors
- Peter GuttorpDavid W. KennedySandra N. CatlinZhantao YangSioḃán KeelJohn G. QuigleyKathleen M. SaboMichael Linenberger
- Journals
- Blood (45 papers)Experimental Hematology (5 papers)Blood Advances (5 papers)Journal of Clinical Investigation (4 papers)American Journal of Hematology (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Janis L. Abkowitz
127 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 130
- Hematology 1.9k
- Genetics 970
- Virology 321
- Immunology 977
- Aging 60
Countries citing papers authored by Janis L. Abkowitz
This map shows the geographic impact of Janis L. Abkowitz'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 Janis L. Abkowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janis L. Abkowitz more than expected).
Fields of papers citing papers by Janis L. Abkowitz
This network shows the impact of papers produced by Janis L. Abkowitz. 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 Janis L. Abkowitz. The network helps show where Janis L. Abkowitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Janis L. Abkowitz, 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 | 2024 | 25 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 13 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 45 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 41 | |
| 11 | Statistical inference in partially observed stochastic compartmental models with application to cell lineage tracking of in vivo hematopoiesis | 2016 | 1 |
| 12 | 2011 | 159 | |
| 13 | 2009 | 7 | |
| 14 | 2006 | 59 | |
| 15 | 2004 | 64 | |
| 16 | 1999 | 30 | |
| 17 | 1996 | 8 | |
| 18 | 1993 | 19 | |
| 19 | 1991 | 12 | |
| 20 | 1988 | 8 |
About Janis L. Abkowitz
Janis L. Abkowitz is a scholar working on Hematology, Genetics, Virology, Immunology and Genetics, having authored 132 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (29 papers), Acute Myeloid Leukemia Research (23 papers), Virus-based gene therapy research (23 papers), Hemoglobinopathies and Related Disorders (19 papers), Erythrocyte Function and Pathophysiology (13 papers), T-cell and B-cell Immunology (12 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Hematology (1.9k citations), Genetics (970 citations), Virology (321 citations), Immunology (977 citations) and Aging (60 citations). Janis L. Abkowitz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter Guttorp, David W. Kennedy, Sandra N. Catlin, Zhantao Yang, Sioḃán Keel, John G. Quigley, Kathleen M. Sabo, Michael Linenberger, Jing Chen and Brent L. Wood. Their work appears in journals such as Blood, Experimental Hematology, Blood Advances, Journal of Clinical Investigation and American Journal of Hematology.
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.