Danielle Crawley

683 citations
35 papers · 405 · h-index 12

Impact in

Papers in

Danielle Crawley

31 papers receiving 401 citations

Peers

Danielle Crawley
Comparison fields: 5 of 56
  • Cancer Research 67
  • Pulmonary and Respiratory Medicine 102
  • Endocrinology, Diabetes and Metabolism 46
  • Oncology 74
  • Pathology and Forensic Medicine 32
Replace Chatchawin Assanasen with:
Chatchawin Assanasen United States
J.M. Cózar Spain
Cecilia Yee United States
Julia Phillipson United States
A.M. Thompson United Kingdom
P Y Chong Singapore
Lindsay Carlsson Canada
Sverrir Thorvaldsson Iceland
Won Jin Chang South Korea
Megan Braunlin United States
Danielle Crawley relative to Chatchawin Assanasen United States Chatchawin Assanasen's profile →
Citations per field
00.5×3.4×
Chatchawin Assanasen · 1×
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201434
3 200932
4 201431
5 202030
6 201626
7 201824
8 200518
9 201918
10 201717
11 201216
12 202014
13 201611
14 20169
15 20118
16 20187
17 20206
18 20226
19 20204
20 20224

About Danielle Crawley

Danielle Crawley is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Genetics, having authored 35 papers that have together received 405 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 (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Estrogen and related hormone effects (2 papers), Cancer Risks and Factors (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Diet and metabolism studies (1 paper). The work is most often cited by research in Cancer Research (67 citations), Pulmonary and Respiratory Medicine (102 citations), Endocrinology, Diabetes and Metabolism (46 citations), Oncology (74 citations) and Pathology and Forensic Medicine (32 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 Rudman, Cecilia Bosco, Lars Holmberg, Hans Garmo, Pär Stattin, Björn Zethelius, Sarah Maria Rudman and Simon Chowdhury. Their work appears in journals such as BMC Cancer, Journal of Clinical Oncology, British Journal of Urology, World Journal of Urology and International Journal of Cancer.

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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