Steven Darby

1.4k citations
23 papers · 1.1k · h-index 18

Impact in

Papers in

Steven Darby

23 papers receiving 1.1k citations

Peers

Steven Darby
Comparison fields: 5 of 101
  • Dermatology 102
  • Cancer Research 112
  • Molecular Biology 515
  • Reproductive Medicine 53
  • Oncology 164
Replace Y. Jacques with:
Y. Jacques France
Mario Falchetti Italy
Li Chong Chan Hong Kong
Massimo Zani Italy
Durga Thakral United States
F. J. Hendler United States
Casimir Bamberger United States
Alexandra Lainé France
Simon de Bernard France
Steven Darby relative to Y. Jacques France Y. Jacques's profile →
Citations per field
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Y. Jacques · 1×
Citations per year

Countries citing papers authored by Steven Darby

Since Specialization
Citations

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

Fields of papers citing papers by Steven Darby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984170
2 2001108
3 2019106
4 2013100
5 200793
6 201381
7 200760
8 200647
9 201444
10 199244
11 201044
12 200530
13 200926
14 201626
15 198726
16 200822
17 201418
18 198318
19 200717
20 19924

About Steven Darby

Steven Darby is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Prostate Cancer Treatment and Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Radiation Dose and Imaging (3 papers), Protein Degradation and Inhibitors (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Radioactivity and Radon Measurements (2 papers) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Dermatology (102 citations), Cancer Research (112 citations), Molecular Biology (515 citations), Reproductive Medicine (53 citations) and Oncology (164 citations). Steven Darby has collaborated with scholars based in United Kingdom, Denmark and Uruguay. Frequent co-authors include Craig Robson, Thomas R. Fears, Joseph Scotto, J F Fraumeni, Hing Y. Leung, Kanagasabai Sahadevan, V.J. Gnanapragasam, Luke Gaughan, Ahmed Faheem and Temidayo Olusanya. Their work appears in journals such as The Journal of Pathology, Nucleic Acids Research, Molecular Cancer Research, Endocrine Related Cancer and Gut.

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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