Gender Data Standards
Gender Data Standards is a systematic framework that specifies consistent definitions, categories, and protocols for collecting, representing, and exchanging gender-related information in healthcare and research contexts to ensure accuracy, interoperability, and respect for individual gender identity.
14
Publications
877
Citations
65
Authors
48
Institutions
Publications per year
2017–2026
7
14
Madeline B. Deutsch, André Wilson, Carolyn Wolf-Gould · Journal of the American Medical Informatics Association · 2013 · 297 citations · Full text
1–5 of 14
65
3
h-index
2
h-index
University of California, San Francisco, United States
2 publications · 470 citations
2
h-index
2
h-index
2
h-index
1–5 of 65
48

University of Victoria
Victoria, Canada
3 h-index
11 publications
552 citations

Thomas Jefferson University
Philadelphia, United States
2 h-index
2 publications
38 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
80 citations
Columbia University
New York, United States
2 h-index
2 publications
38 citations

McGill University
Montreal, Canada
2 h-index
2 publications
216 citations
University of California, San Francisco
San Francisco, United States
2 h-index
3 publications
643 citations
New York University
New York, United States
1 h-index
1 publications
193 citations

Jewish General Hospital
Montreal, Canada
1 h-index
1 publications
23 citations
1–8 of 48
JAMIA · 2 publications · 490 citations
2
h-index
2 publications · 39 citations
2
h-index
JGIM · 2 publications · 192 citations
2
h-index
Repository · 1 publications · 10 citations
1
h-index
Repository · 1 publications · 28 citations
1
h-index
1–5