Olívia Wu

7.8k citations
148 papers · 4.5k indexed · 1 hit paper · h-index 31

Olívia Wu

139 papers receiving 4.3k citations

Hit Papers

Thrombophilia in pregnancy: a systematic review5722005202620122019100200300400500

Peers

Olívia Wu
Comparison fields: 5 of 173
  • Internal Medicine 722
  • Obstetrics and Gynecology 909
  • Hematology 1.3k
  • Reproductive Medicine 600
  • Rehabilitation 330
Replace Nicole F. Dowling with:
Nicole F. Dowling United States
Iván Solà Spain
Alfred A. Rimm United States
Sung‐Cheol Yun South Korea
Johanna G. van der Bom Netherlands
Laila J. Tata United Kingdom
Sasha Bernatsky Canada
Carine J.M. Doggen Netherlands
Theresa H.M. Keegan United States
Jane Daniels United Kingdom
Olívia Wu relative to Nicole F. Dowling United States Nicole F. Dowling's profile →
Citations per field
00.5×11.8×
Nicole F. Dowling · 1×
Citations per year

Countries citing papers authored by Olívia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Olívia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20242
5 20241
6 20241
7 202322
8 20236
9 20232
10 20223
11 20226
12 20213
13 20211
14 202114
15 20215
16 201918
17 201841
18 201853
19 200886
20 2006390

About Olívia Wu

Olívia Wu is a scholar working on Internal Medicine, Rehabilitation, Obstetrics and Gynecology, Reproductive Medicine and Hematology, having authored 148 papers that have together received 4.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Venous Thromboembolism Diagnosis and Management (17 papers), Acute Ischemic Stroke Management (17 papers), Stroke Rehabilitation and Recovery (15 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers), Endometriosis Research and Treatment (11 papers), Uterine Myomas and Treatments (11 papers) and Gynecological conditions and treatments (9 papers). The work is most often cited by research in Internal Medicine (722 citations), Obstetrics and Gynecology (909 citations), Hematology (1.3k citations), Reproductive Medicine (600 citations) and Rehabilitation (330 citations). Olívia Wu has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter Langhorne, Peter Clark, Isobel D. Walker, Lindsay Robertson, Sara Twaddle, Ian A. Greer, L. Regan, G.D.O. Lowe, Mark A. Vickers and Julie Bernhardt. Their work appears in journals such as Health Technology Assessment, Value in Health, International Journal of Stroke, BMJ Open and British Journal of Haematology.

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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