Steve Dingwall

528 citations
9 papers · 372 · h-index 7

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • DNA Repair Mechanisms
    • Mesenchymal stem cell research

Papers in

Steve Dingwall

9 papers receiving 369 citations

Peers

Steve Dingwall
Comparison fields: 5 of 63
  • Molecular Biology 297
  • Genetics 34
  • Developmental Neuroscience 13
  • Cancer Research 46
  • Immunology 50
Replace Michele Marass with:
Michele Marass Germany
Samuel Emerson United States
Federica Verginelli Italy
Hiroki Ueharu Japan
Rosa Ferrentino Italy
Oscar E. Ruiz United States
Katja Maurus Germany
Anna Maria Ranzoni United Kingdom
Kim Vanuytsel United States
Nicholas C. Kappas United States
Steve Dingwall relative to Michele Marass Germany Michele Marass's profile →
Citations per field
00.5×10.5×
Michele Marass · 1×
Citations per year

Countries citing papers authored by Steve Dingwall

Since Specialization
Citations

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

Fields of papers citing papers by Steve Dingwall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009203
2 201668
3 201638
4 201124
5 201114
6 201513
7 201510
8 20241
9 20241

About Steve Dingwall

Steve Dingwall is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Surgery and Radiological and Ultrasound Technology, having authored 9 papers that have together received 372 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers), Acute Myeloid Leukemia Research (2 papers), DNA Repair Mechanisms (2 papers), Effects of Radiation Exposure (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Radioactive contamination and transfer (1 paper) and Radioactivity and Radon Measurements (1 paper). The work is most often cited by research in Molecular Biology (297 citations), Genetics (34 citations), Developmental Neuroscience (13 citations), Cancer Research (46 citations) and Immunology (50 citations). Steve Dingwall has collaborated with scholars based in Canada, Australia and Japan. Frequent co-authors include Mickie Bhatia, J.-A. Dolling, Marc Bossé, Charles P. Harris, Tim Carter, Doug Boreham, Tamra E. Werbowetski‐Ogilvie, Morag Stewart, Angelique Schnerch and Verónica Ramos–Mejía. Their work appears in journals such as Cytotherapy, Dose-Response, Stem Cells, Journal of Leukocyte Biology and Human Molecular Genetics.

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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