Steve McClellan

972 citations
11 papers · 771 · h-index 9

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • RNA Interference and Gene Delivery 2
    • Advanced biosensing and bioanalysis techniques 1
    • Kruppel-like factors research 1
    • Protein Degradation and Inhibitors 1
    • Cancer Cells and Metastasis 4

Steve McClellan

10 papers receiving 762 citations

Peers

Steve McClellan
Comparison fields: 5 of 86
  • Oncology 321
  • Cancer Research 169
  • Nutrition and Dietetics 148
  • Reproductive Medicine 58
  • Health, Toxicology and Mutagenesis 78
Replace Damiano Conte with:
Damiano Conte Canada
Miho Shiokawa Japan
Kathryn Smart United Kingdom
Yang Zong United States
Jiantao Cui China
Rajeev Shrimali United States
Mark B. Van der Hoek Australia
A. P. M. Cappa Italy
Kyoko Kojima United States
Hua Geng China
Steve McClellan relative to Damiano Conte Canada Damiano Conte's profile →
Citations per field
00.5×6.4×
Damiano Conte · 1×
Citations per year

Countries citing papers authored by Steve McClellan

Since Specialization
Citations

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

Fields of papers citing papers by Steve McClellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2009180
2 2012148
3 2014127
4 2010101
5 201069
6 201556
7 201244
8 202127
9 202118
10 20191
11 20210

About Steve McClellan

Steve McClellan is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Pathology and Forensic Medicine, having authored 11 papers that have together received 771 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Kruppel-like factors research (1 paper), Protein Degradation and Inhibitors (1 paper), MicroRNA in disease regulation (1 paper), Pharmacological Effects of Medicinal Plants (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (321 citations), Cancer Research (169 citations), Nutrition and Dietetics (148 citations), Reproductive Medicine (58 citations) and Health, Toxicology and Mutagenesis (78 citations). Steve McClellan has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Robert J. Cousins, Juan P. Liuzzi, Tolunay Beker Aydemir, Michael A. Finan, Rodney P. Rocconi, Lalita A. Shevde, Erhong Meng, Eddie Reed, Lilian J. Oliveira and Peter J. Hansen. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Journal of Clinical Oncology, Journal of Leukocyte Biology and The Journal of Urology.

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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