John D. Quisel
- Hematology top 5%
- Erythropoietin and Anemia Treatment 1
- Genetics top 5%
- Bacterial Genetics and Biotechnology 3
- Hemoglobinopathies and Related Disorders 1
- Genetics top 10%
- Bacterial Genetics and Biotechnology 3
- Hemoglobinopathies and Related Disorders 1
- Molecular Medicine top 10%
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- Fungal and yeast genetics research 1
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- Pulmonary Hypertension Research and Treatments 2
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- Legume Nitrogen Fixing Symbiosis 2
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- Bacteriophages and microbial interactions 1
- Physiological and biochemical adaptations 1
- Co-authors
- Alan D. GrossmanDaniel Chi-Hong LinWilliam F. BurkholderRavindra KumarR. Scott PearsallDianne SakoArthur GrossmanDennis D. Wykoff
- Cited by
- HematologyGeneticsMolecular Medicine
- Journals
- Journal of Bacteriology (2 papers)Molecular Cell (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
John D. Quisel
7 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 242
- Genetics 219
- Genetics 270
- Molecular Medicine 40
- Molecular Biology 431
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-authorship network
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 | 2020 | 137 | |
| 2 | Abstract 18906: ACTRIIA-Fc Rebalances BMP and Activin/TGF-β Signaling to Attenuate Experimental Pulmonary Hypertension | 2017 | 1 |
| 3 | Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesisbreakdown → | 2014 | 346 |
| 4 | 2001 | 97 | |
| 5 | 2000 | 74 | |
| 6 | 1999 | 153 | |
| 7 | 1996 | 71 |
About John D. Quisel
John D. Quisel is a scholar working on Genetics, Genetics, Hematology, Ecology and Nutrition and Dietetics, having authored 7 papers that have together received 879 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), Hemoglobinopathies and Related Disorders (1 paper), Erythropoietin and Anemia Treatment (1 paper), Fungal and yeast genetics research (1 paper), Bacteriophages and microbial interactions (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Hematology (242 citations), Genetics (219 citations), Genetics (270 citations), Molecular Medicine (40 citations) and Molecular Biology (431 citations). John D. Quisel has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Alan D. Grossman, Daniel Chi-Hong Lin, William F. Burkholder, Ravindra Kumar, R. Scott Pearsall, Dianne Sako, Arthur Grossman, Dennis D. Wykoff, Rajasekhar N.V.S. Suragani and Kathryn Underwood. Their work appears in journals such as Journal of Bacteriology, Molecular Cell, Science Translational Medicine, Circulation 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.