LieLing Wu

32 papers receiving 3.8k citations

LieLing Wu's Hit Papers

Postmenopausal Hormone Therapy and Risk of Cardiovascular Disease by Age and Years Since Menopause 2007 · 1.2k citations
1.2k0+7+14Years since publication4008001.2k

Peers

LieLing Wu
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Orthopedics and Sports Medicine 257
  • Genetics 837
  • Reproductive Medicine 190
  • Pathology and Forensic Medicine 367
Replace Sarah Fowler with:
Sarah Fowler United States
Clare Oliver‐Williams United Kingdom
Michael J. Nissen Switzerland
Daniel Edmundowicz United States
Rachel Pessah‐Pollack United States
T W Meade United Kingdom
Robert J. MacInnis Australia
Konstantinos A. Toulis Greece
José Manuel Gómez Spain
Bjørn Olav Åsvold Norway
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Citations per field
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Citations per year

Countries citing papers authored by LieLing Wu

Since Specialization
Citations

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

Fields of papers citing papers by LieLing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Postmenopausal Hormone Therapy and Risk of Cardiovascular Disease by Age and Years Since Menopause
Hit paper breakdown →
20071248
2
The Relationship Between Reduced Lung Function and Cardiovascular Mortality
Hit paper breakdown →
2005695
3 2006260
4 2007232
5 2009155
6 2006128
7 2012124
8 2007112
9 2007106
10 200882
11 200382
12 200779
13 200978
14 200473
15 200469
16 200868
17 200968
18 200867
19 200459
20 200658

About LieLing Wu

LieLing Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 32 papers that have together received 4.0k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (4 papers), Hormonal and reproductive studies (2 papers), Bone health and osteoporosis research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Estrogen and related hormone effects (2 papers), Statistical Methods in Clinical Trials (2 papers), Dialysis and Renal Disease Management (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Orthopedics and Sports Medicine (257 citations), Genetics (837 citations), Reproductive Medicine (190 citations) and Pathology and Forensic Medicine (367 citations). LieLing Wu has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Don D. Sin, S. F. Paul Man, Andrea Z. LaCroix, Karen L. Margolis, Marcia L. Stefanick, Jacques E. Rossouw, JoAnn E. Manson, Vanessa M. Barnabei, David H. Barad and Ross L. Prentice. Their work appears in journals such as CHEST Journal, Peritoneal Dialysis International, The Journal of Clinical Endocrinology & Metabolism, JAMA and Journal of the American College of Surgeons.

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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