Steve R. Head

539 total citations
8 papers, 263 citations indexed

About

Steve R. Head is a scholar working on Molecular Biology, Transplantation and Surgery. According to data from OpenAlex, Steve R. Head has authored 8 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Transplantation and 1 paper in Surgery. Recurrent topics in Steve R. Head's work include Renal Transplantation Outcomes and Treatments (3 papers), Pregnancy and preeclampsia studies (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Steve R. Head is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Pregnancy and preeclampsia studies (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Steve R. Head collaborates with scholars based in United States, Austria and Canada. Steve R. Head's co-authors include Sunil M. Kurian, Daniel R. Salomon, Tony S. Mondala, Daniel Campbell, Gernot Desoyé, Vito Quaranta, Martin Bilban, Christopher L. Marsh, John R. Yates and Johannes A. Hewel and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and American Journal of Transplantation.

In The Last Decade

Steve R. Head

8 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steve R. Head United States	6	132	96	86	41	37	8	263
Marianne Lantz United States	9	166 1.3×	83 0.9×	78 0.9×	92 2.2×	11 0.3×	12	332
Bridget Litts United States	9	49 0.4×	27 0.3×	107 1.2×	91 2.2×	39 1.1×	15	316
Beth Begley United States	4	111 0.8×	92 1.0×	23 0.3×	22 0.5×	10 0.3×	4	229
Keith Zucker United States	8	233 1.8×	88 0.9×	114 1.3×	17 0.4×	20 0.5×	8	427
M. Audet France	10	65 0.5×	162 1.7×	42 0.5×	51 1.2×	6 0.2×	18	281
Ronaldo de Matos Esmeraldo Brazil	7	54 0.4×	58 0.6×	60 0.7×	24 0.6×	16 0.4×	20	226
Mordi Muorah United Kingdom	6	18 0.1×	38 0.4×	53 0.6×	26 0.6×	55 1.5×	12	188
Ayman Al Jurdi United States	9	47 0.4×	40 0.4×	10 0.1×	42 1.0×	8 0.2×	29	242
Evelyn Seelow Germany	7	16 0.1×	25 0.3×	19 0.2×	40 1.0×	26 0.7×	12	170
Emilia Escuredo United Kingdom	5	34 0.3×	28 0.3×	101 1.2×	33 0.8×	9 0.2×	9	400

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-authorship network of co-authors of Steve R. Head

This figure shows the co-authorship network connecting the top 25 collaborators of Steve R. Head. A scholar is included among the top collaborators of Steve R. Head 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 Steve R. Head. Steve R. Head is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Siddique, Azeem, Nils Homer, Phillip Ordoukhanian, et al.. (2020). Next Generation Genotyping (NGG) Using Riptide™. Performance Specifications when Best Practices are Applied. Journal of Biomolecular Techniques JBT. 31. 1 indexed citations

2.

Ordoukhanian, Phillip, Steve R. Head, Nils Homer, et al.. (2019). RipTide High Throughput NGS Library Prep for Genotyping in Populations. PubMed Central. 1 indexed citations

3.

Modena, Brian D., Sunil M. Kurian, Lillian W. Gaber, et al.. (2016). Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long‐Term Outcomes. American Journal of Transplantation. 16(7). 1982–1998. 77 indexed citations

4.

Nakorchevsky, Aleksey, Johannes A. Hewel, Sunil M. Kurian, et al.. (2010). Molecular Mechanisms of Chronic Kidney Transplant Rejection via Large-Scale Proteogenomic Analysis of Tissue Biopsies. Journal of the American Society of Nephrology. 21(2). 362–373. 66 indexed citations

5.

Kurian, Sunil M., John P. Burke, Daniel Campbell, et al.. (2009). Genome-Wide Analysis of Immune Activation in Human T and B Cells Reveals Distinct Classes of Alternatively Spliced Genes. PLoS ONE. 4(11). e7906–e7906. 32 indexed citations

6.

Kurian, Sunil M., et al.. (2007). Applying genomics to organ transplantation medicine in both discovery and validation of biomarkers. International Immunopharmacology. 7(14). 1948–1960. 31 indexed citations

7.

Bilban, Martin, et al.. (2002). Defining signal thresholds in DNA microarrays: exemplary application for invasive cancer. BMC Genomics. 3(1). 19–19. 34 indexed citations

8.

Bilban, Martin, Steve R. Head, Gernot Desoyé, & Vito Quaranta. (2000). DNA Microarrays: A Novel Approach to Investigate Genomics in Trophoblast Invasion—A Review. Placenta. 21. S99–S105. 21 indexed citations

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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