J P Kushner
- Molecular Biology top 10%
- Hematology top 1%
- Rheumatology top 2%
- Physiology top 5%
- Genetics top 2%
- Co-authors
- Jerry KaplanJohn H. WardRead R. TaintorR L MenloveZdenek VavrinChristof WestenfelderJohn B. HibbsCarl Kablitz
- Topics
- Porphyrin Metabolism and Disorders (17 papers)Iron Metabolism and Disorders (13 papers)Heme Oxygenase-1 and Carbon Monoxide (9 papers)
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesFranceAustralia
In The Last Decade
J P Kushner
34 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 990
- Hematology 698
- Rheumatology 490
- Physiology 463
- Genetics 457
Countries citing papers authored by J P Kushner
This map shows the geographic impact of J P Kushner'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 J P Kushner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J P Kushner more than expected).
Fields of papers citing papers by J P Kushner
This network shows the impact of papers produced by J P Kushner. 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 J P Kushner. The network helps show where J P Kushner may publish in the future.
Co-authorship network of co-authors of J P Kushner
This figure shows the co-authorship network connecting the top 25 collaborators of J P Kushner. A scholar is included among the top collaborators of J P Kushner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J P Kushner. J P Kushner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Longitudinal study of a mouse model of familial porphyria cutanea tarda. | 1 |
| 3 | Structural and kinetic characterization of mutant human uroporphyrinogen decarboxylases. | 1 |
| 4 | 8 | |
| 5 | 43 | |
| 6 | 327 | |
| 7 | 133 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 53 | |
| 13 | Neonatal hemochromatosis. Genetic analysis of transferrin-receptor, H-apoferritin, and L-apoferritin loci and of the human leukocyte antigen class I region. | 18 |
| 14 | 51 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 220 | |
| 18 | 18 | |
| 19 | Transferrin receptor function in hereditary hemochromatosis. | 36 |
| 20 | 8 |
About J P Kushner
J P Kushner is a scholar working on Hematology, Rheumatology and Clinical Biochemistry, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (17 papers), Iron Metabolism and Disorders (13 papers) and Heme Oxygenase-1 and Carbon Monoxide (9 papers). The work is most often cited by research in Hematology (698 citations), Genetics (457 citations) and Rheumatology (490 citations). J P Kushner has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Jerry Kaplan, John H. Ward, Read R. Taintor, R L Menlove, John H. Ward, Zdenek Vavrin, Christof Westenfelder, John B. Hibbs, Carl Kablitz and Martha P. McMurry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.