D. Tan

732 total citations
10 papers, 498 citations indexed

About

D. Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, D. Tan has authored 10 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in D. Tan's work include Estrogen and related hormone effects (8 papers), Menopause: Health Impacts and Treatments (8 papers) and Phytoestrogen effects and research (6 papers). D. Tan is often cited by papers focused on Estrogen and related hormone effects (8 papers), Menopause: Health Impacts and Treatments (8 papers) and Phytoestrogen effects and research (6 papers). D. Tan collaborates with scholars based in Philippines, Thailand and Chile. D. Tan's co-authors include Santiago Palacios, N. Siseles, Paulina Villaseca, Victor W. Henderson, Ian S. Fraser, Christian F. Holinka, M. K. Ausmanas, Unnop Jaisamrarn, K Limpaphayom and Christopher J. Haines and has published in prestigious journals such as Maturitas, Menopause The Journal of The North American Menopause Society and Best Practice & Research Clinical Obstetrics & Gynaecology.

In The Last Decade

D. Tan

10 papers receiving 480 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Tan Philippines 9 279 187 126 105 74 10 498
N. Siseles Argentina 9 395 1.4× 199 1.1× 134 1.1× 110 1.0× 81 1.1× 22 643
A. Oldenhave Netherlands 6 312 1.1× 174 0.9× 105 0.8× 94 0.9× 122 1.6× 7 488
Ann M. Voda United States 13 304 1.1× 162 0.9× 76 0.6× 149 1.4× 101 1.4× 30 526
Inger Øverlie Norway 8 182 0.7× 101 0.5× 50 0.4× 119 1.1× 80 1.1× 9 371
H. P. G. Schneider Germany 14 407 1.5× 264 1.4× 182 1.4× 110 1.0× 191 2.6× 38 755
Fiona Jane Australia 13 263 0.9× 121 0.6× 54 0.4× 70 0.7× 81 1.1× 15 428
Sonia Cerdas Pérez Costa Rica 9 406 1.5× 227 1.2× 106 0.8× 80 0.8× 118 1.6× 11 543
Do Minh Thai Germany 6 488 1.7× 107 0.6× 123 1.0× 114 1.1× 94 1.3× 8 669
Alexandra Purdue‐Smithe United States 14 152 0.5× 74 0.4× 90 0.7× 216 2.1× 151 2.0× 47 530
M. Gambacciani Italy 12 163 0.6× 101 0.5× 84 0.7× 92 0.9× 49 0.7× 19 468

Countries citing papers authored by D. Tan

Since Specialization
Citations

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

Fields of papers citing papers by D. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of D. Tan. A scholar is included among the top collaborators of D. Tan 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 D. Tan. D. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Tan, D., et al.. (2022). Menopausal hormone therapy: why we should no longer be afraid of the breast cancer risk. Climacteric. 25(4). 362–368. 8 indexed citations
2.
Tan, D., et al.. (2018). Postmenopausal endometriosis: drawing a clearer clinical picture. Climacteric. 21(3). 249–255. 21 indexed citations
3.
Tan, D., et al.. (2016). Cultural aspects and mythologies surrounding menstruation and abnormal uterine bleeding. Best Practice & Research Clinical Obstetrics & Gynaecology. 40. 121–133. 53 indexed citations
4.
Palacios, Santiago, Victor W. Henderson, N. Siseles, D. Tan, & Paulina Villaseca. (2010). Age of menopause and impact of climacteric symptoms by geographical region. Climacteric. 13(5). 419–428. 260 indexed citations
5.
Tan, D., et al.. (2010). Use of a multibotanical (Nutrafem) for the relief of menopausal vasomotor symptoms. Menopause The Journal of The North American Menopause Society. 17(2). 303–308. 7 indexed citations
6.
Pines, Amos, David Sturdee, Martin Birkhäuser, et al.. (2008). HRT in the early menopause: scientific evidence and common perceptions. Climacteric. 11(4). 267–272. 26 indexed citations
7.
Ausmanas, M. K., et al.. (2007). Estradiol, FSH and LH profiles in nine ethnic groups of postmenopausal Asian women: The Pan-Asia Menopause (PAM) study. Climacteric. 10(5). 427–437. 34 indexed citations
8.
Tan, D., C.J. Haines, K Limpaphayom, et al.. (2006). Guidelines for hormone replacement therapy of Asian women during the menopausal transition and thereafter. Climacteric. 9(2). 146–151. 11 indexed citations
9.
Tan, D., Christopher J. Haines, K Limpaphayom, Christian F. Holinka, & M. K. Ausmanas. (2005). Relief of vasomotor symptoms and vaginal atrophy with three doses of conjugated estrogens and medroxyprogesterone acetate in postmenopausal Asian women from 11 countries: The Pan-Asia menopause (PAM) study. Maturitas. 52(1). 35–51. 31 indexed citations
10.

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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