Steve R. Head

541 citations
8 papers · 266 · h-index 6

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 1
    • Gene expression and cancer classification 1
    • Renal Transplantation Outcomes and Treatments 3

Steve R. Head

8 papers receiving 260 citations

Peers

Steve R. Head
Comparison fields: 5 of 58
  • Transplantation 113
  • Nephrology 34
  • Hepatology 18
  • Surgery 77
  • Immunology 35
Replace Ronaldo de Matos Esmeraldo with:
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Tianzhong Yan China
Keith Zucker United States
Mordi Muorah United Kingdom
Evelyn Seelow Germany
Bridget Litts United States
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Citations per field
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Citations per year

Countries citing papers authored by Steve R. Head

Since Specialization
Citations

This map shows the geographic impact of Steve R. Head'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 Steve R. Head with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve R. Head more than expected).

Fields of papers citing papers by Steve R. Head

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve R. Head. 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 Steve R. Head. The network helps show where Steve R. Head may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve R. Head, 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 Steve R. Head Line = papers co-authored together Steve R. Head links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201680
2 201066
3 200234
4 200932
5 200731
6 200021
7
Next Generation Genotyping (NGG) Using Riptide™. Performance Specifications when Best Practices are Applied
20201
8
RipTide High Throughput NGS Library Prep for Genotyping in Populations
20191

About Steve R. Head

Steve R. Head is a scholar working on Molecular Biology, Transplantation, Surgery, Nephrology and Pathology and Forensic Medicine, having authored 8 papers that have together received 266 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Gene expression and cancer classification (1 paper), Renal Diseases and Glomerulopathies (1 paper), Pregnancy and preeclampsia studies (1 paper), Transplantation: Methods and Outcomes (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Transplantation (113 citations), Nephrology (34 citations), Hepatology (18 citations), Surgery (77 citations) and Immunology (35 citations). Steve R. Head has collaborated with scholars based in United States, Austria and Iran. Frequent co-authors include Sunil M. Kurian, Daniel R. Salomon, Tony S. Mondala, Daniel Campbell, Christopher L. Marsh, Gernot Desoyé, Vito Quaranta, Martin Bilban, John R. Yates and Aleksey Nakorchevsky. Their work appears in journals such as International Immunopharmacology, Journal of the American Society of Nephrology, PLoS ONE, American Journal of Transplantation and Journal of Biomolecular Techniques JBT.

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.

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