John D. Quisel
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Hemoglobinopathies and Related Disorders 1
-
- Pulmonary Hypertension Research and Treatments 2
- Co-authors
- Alan D. Grossman (3 shared papers)Daniel Chi-Hong Lin (1 shared paper)William F. Burkholder (1 shared paper)Dianne Sako (3 shared papers)R. Scott Pearsall (3 shared papers)Ravindra Kumar (3 shared papers)Arthur Grossman (1 shared paper)Dennis D. Wykoff (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Molecular Cell (1 paper)Circulation (1 paper)Science Translational Medicine (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
John D. Quisel
7 papers receiving 887 citations
John D. Quisel's Hit Papers
Peers
Comparison fields: 5 of 81
- Hematology 230
- Genetics 204
- Genetics 268
- Molecular Medicine 40
- Molecular Biology 410
Countries citing papers authored by John D. Quisel
This map shows the geographic impact of John D. Quisel'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 John D. Quisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Quisel more than expected).
Fields of papers citing papers by John D. Quisel
This network shows the impact of papers produced by John D. Quisel. 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 John D. Quisel. The network helps show where John D. Quisel may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Quisel, 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 | Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesis Hit paper breakdown → | 2014 | 353 |
| 2 | 1999 | 152 | |
| 3 | 2020 | 146 | |
| 4 | 2001 | 98 | |
| 5 | 2000 | 74 | |
| 6 | 1996 | 73 | |
| 7 | Abstract 18906: ACTRIIA-Fc Rebalances BMP and Activin/TGF-β Signaling to Attenuate Experimental Pulmonary Hypertension | 2017 | 1 |
About John D. Quisel
John D. Quisel is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Ecology, Plant Science and Molecular Biology, having authored 7 papers that have together received 897 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Alkaline Phosphatase Research Studies (1 paper), Fungal and yeast genetics research (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Hematology (230 citations), Genetics (204 citations), Genetics (268 citations), Molecular Medicine (40 citations) and Molecular Biology (410 citations). John D. Quisel has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Alan D. Grossman, Daniel Chi-Hong Lin, William F. Burkholder, Dianne Sako, R. Scott Pearsall, Ravindra Kumar, Arthur Grossman, Dennis D. Wykoff, Samuel M. Cadena and Dianne Mitchell. Their work appears in journals such as Journal of Bacteriology, Molecular Cell, Circulation, Science Translational Medicine and Nature Medicine.
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.