SE Hankinson

971 total citations
8 papers, 695 citations indexed

About

SE Hankinson is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, SE Hankinson has authored 8 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 1 paper in Molecular Biology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in SE Hankinson's work include Acute Lymphoblastic Leukemia research (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). SE Hankinson is often cited by papers focused on Acute Lymphoblastic Leukemia research (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). SE Hankinson collaborates with scholars based in United States and Canada. SE Hankinson's co-authors include WC Willett, Speizer Fe, David J. Hunter, Graham A. Colditz, B. Rosner, Donna Spiegelman, C. A. Haiman, Chantal Guillemette, Immaculata De Vivo and B W Hollis and has published in prestigious journals such as Cancer Research, International Journal of Obesity and American Journal of Ophthalmology.

In The Last Decade

SE Hankinson

7 papers receiving 659 citations

Peers

SE Hankinson
Comparison fields: 5 of 66
  • Ophthalmology 312
  • Radiology, Nuclear Medicine and Imaging 216
  • Molecular Biology 204
  • Pathology and Forensic Medicine 97
  • Genetics 88
Uzay Görmüş Türkiye
María Santos Spain
Touraj Mahmoudi Iran
Cemil Ekinci Türkiye
Dhekra Alnaqeb Saudi Arabia
Shubin Hong China
Saba Sile United States
Beata Matyjaszek‐Matuszek Poland
Mariangela Bella Italy
Uzay Görmüş Türkiye View profile →
Citations per field, relative to SE Hankinson
SE Hankinson · 1×
Citations per year, relative to SE Hankinson
SE Hankinson · 1×

Countries citing papers authored by SE Hankinson

Since Specialization
Citations

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

Fields of papers citing papers by SE Hankinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SE Hankinson

This figure shows the co-authorship network connecting the top 25 collaborators of SE Hankinson. A scholar is included among the top collaborators of SE Hankinson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with SE Hankinson. SE Hankinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 0
2 1
3 56
4
Association of genetic polymorphisms in UGT1A1 with breast cancer and plasma hormone levels.
70
5
A prospective study of the effect of alcohol consumption and ADH3 genotype on plasma steroid hormone levels and breast cancer risk.
47
6
Vitamin D receptor genotype and the risk of bone fractures in women.
72
7 330
8 119

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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