Joan E. Etzell
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Genomic variations and chromosomal abnormalities
Papers in
-
- Acute Myeloid Leukemia Research 5
- Genetics 5
- Co-authors
- Sandy DeVries (3 shared papers)Frederic M. Waldman (2 shared papers)Endi Wang (4 shared papers)Hiep T. Nguyen (1 shared paper)Paul J. Turek (1 shared paper)Ann D. Thor (2 shared papers)Clarence Eng (2 shared papers)Eugene L. Gottfried (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (4 papers)American Journal of Clinical Pathology (4 papers)Human Pathology (3 papers)American Journal of Hematology (3 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesIrelandAustralia
In The Last Decade
Joan E. Etzell
26 papers receiving 609 citations
Peers
Comparison fields: 5 of 70
- Hematology 109
- Genetics 90
- Cancer Research 117
- Pathology and Forensic Medicine 124
- Dermatology 54
Countries citing papers authored by Joan E. Etzell
This map shows the geographic impact of Joan E. Etzell'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 Joan E. Etzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan E. Etzell more than expected).
Fields of papers citing papers by Joan E. Etzell
This network shows the impact of papers produced by Joan E. Etzell. 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 Joan E. Etzell. The network helps show where Joan E. Etzell may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan E. Etzell, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2002 | 71 | |
| 3 | 2001 | 61 | |
| 4 | 1998 | 52 | |
| 5 | 1992 | 51 | |
| 6 | 1996 | 45 | |
| 7 | 2001 | 44 | |
| 8 | 1998 | 39 | |
| 9 | 1999 | 27 | |
| 10 | 2016 | 22 | |
| 11 | 2005 | 18 | |
| 12 | 2004 | 18 | |
| 13 | 2002 | 15 | |
| 14 | 1998 | 13 | |
| 15 | 2005 | 12 | |
| 16 | 2009 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2006 | 10 | |
| 20 | 2006 | 9 |
About Joan E. Etzell
Joan E. Etzell is a scholar working on Hematology, Genetics, Physiology, Pathology and Forensic Medicine and Toxicology, having authored 26 papers that have together received 654 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Clinical Laboratory Practices and Quality Control (3 papers), Lysosomal Storage Disorders Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Neuroblastoma Research and Treatments (2 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Hematology (109 citations), Genetics (90 citations), Cancer Research (117 citations), Pathology and Forensic Medicine (124 citations) and Dermatology (54 citations). Joan E. Etzell has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Sandy DeVries, Frederic M. Waldman, Endi Wang, Hiep T. Nguyen, Paul J. Turek, Ann D. Thor, Clarence Eng, Eugene L. Gottfried, Valerie L. Ng and Philip H. Cogen. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology, Human Pathology, American Journal of Hematology and Journal of Clinical Oncology.
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.