J P Kushner

3.1k citations
35 papers · 2.5k indexed · h-index 19

J P Kushner

34 papers receiving 2.4k citations

Peers

J P Kushner
Comparison fields: 5 of 106
  • Hematology 698
  • Genetics 457
  • Rheumatology 490
  • Nutrition and Dietetics 379
  • Physiology 463
Replace Zoubida Karim with:
Zoubida Karim France
Lorenza Tacchini Italy
Dieter Printz Austria
Hervé Puy France
Tsukasa Matsubara Japan
John W. Forstrom United States
J. D. Lutton United States
Sandro Altamura Germany
Maura Poli Italy
Mark P. Fletcher United States
J P Kushner relative to Zoubida Karim France Zoubida Karim's profile →
Citations per field
00.5×1.5×2.2×
Zoubida Karim · 1×
Citations per year

Countries citing papers authored by J P Kushner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside J P Kushner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J P Kushner Line = papers co-authored together J P Kushner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Longitudinal study of a mouse model of familial porphyria cutanea tarda.
20091
3
Structural and kinetic characterization of mutant human uroporphyrinogen decarboxylases.
20091
4 20078
5 200643
6 2006327
7 2006133
8 200140
9 19972
10 199618
11 19944
12 199053
13
Neonatal hemochromatosis. Genetic analysis of transferrin-receptor, H-apoferritin, and L-apoferritin loci and of the human leukocyte antigen class I region.
199018
14 198951
15 19897
16 19887
17 1987220
18 198518
19
Transferrin receptor function in hereditary hemochromatosis.
198436
20 19838

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), Heme Oxygenase-1 and Carbon Monoxide (9 papers), Neonatal Health and Biochemistry (8 papers), Folate and B Vitamins Research (8 papers), Trace Elements in Health (6 papers), Hemoglobinopathies and Related Disorders (6 papers) and Metabolism and Genetic Disorders (4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026