Danielle Crawley

688 citations
36 papers · 513 · h-index 14

Impact in

Papers in

    • COVID-19 and healthcare impacts 3
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Risks and Factors 2
    • Prostate Cancer Treatment and Research 6
    • Lung Cancer Treatments and Mutations 2

Danielle Crawley

32 papers receiving 508 citations

Peers

Danielle Crawley
Comparison fields: 5 of 60
  • Oncology 142
  • Cancer Research 70
  • Pulmonary and Respiratory Medicine 114
  • Endocrinology, Diabetes and Metabolism 47
  • Infectious Diseases 42
Replace Yasser El-Gohary with:
Yasser El-Gohary United States
Eun Mi Nam South Korea
Daunia Verdi Italy
Eduard Martínez Solsona Spain
Julien Gautier France
Nishin Anil Bhadkamkar United States
Arzu Yaren Türkiye
Aasems Jacob United States
Elizabeth Laureen Strevel Canada
Chunhuan Lao New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Crawley

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Crawley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 202048
3 202139
4 201435
5 200932
6 202032
7 201430
8 201627
9 201824
10 201920
11 200519
12 201217
13 201717
14 202014
15 201612
16 202110
17 20169
18 20229
19 20187
20 20206

About Danielle Crawley

Danielle Crawley is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 513 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (12 papers), Prostate Cancer Treatment and Research (6 papers), Cancer, Lipids, and Metabolism (3 papers), COVID-19 and healthcare impacts (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Risks and Factors (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Oncology (142 citations), Cancer Research (70 citations), Pulmonary and Respiratory Medicine (114 citations), Endocrinology, Diabetes and Metabolism (47 citations) and Infectious Diseases (42 citations). Danielle Crawley has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Mieke Van Hemelrijck, Jan Adolfsson, Sarah Maria Rudman, Cecilia Bosco, Lars Holmberg, Hans G. Garmo, Björn Zethelius, Pär E. Stattin, Sarah Maria Rudman and Simon Chowdhury. Their work appears in journals such as BMC Cancer, World Journal of Urology, JAMA Network Open, Annals of Oncology and Frontiers in Oncology.

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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