LieLing Wu

5.2k citations
32 papers · 3.8k indexed · 2 hit papers · h-index 25

LieLing Wu

32 papers receiving 3.7k citations

Hit Papers

Postmenopausal Hormone Therapy and Risk of Cardiovascular...1.2k20052026201220192505007501000

Peers

LieLing Wu
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Genetics 1.1k
  • Orthopedics and Sports Medicine 328
  • Reproductive Medicine 265
  • Pathology and Forensic Medicine 497
Replace Lisa W. Martin with:
Lisa W. Martin United States
Clare Oliver‐Williams United Kingdom
Sarah Fowler United States
Bjørn Olav Åsvold Norway
Daniel Edmundowicz United States
Robert J. MacInnis Australia
T W Meade United Kingdom
Rachel Pessah‐Pollack United States
M. Cigolini Italy
Steven M. Petak United States
LieLing Wu relative to Lisa W. Martin United States Lisa W. Martin's profile →
Citations per field
00.5×1.7×
Lisa W. Martin · 1×
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-authorship network

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
#Work
1 20171
2 2012119
3 2009153
4 200964
5 200862
6 2007225
7 200798
8 200778
9
Postmenopausal Hormone Therapy and Risk of Cardiovascular Disease by Age and Years Since Menopausebreakdown →
20071155
10 200727
11 2006246
12 200657
13 2006121
14 200626
15
The Relationship Between Reduced Lung Function and Cardiovascular Mortalitybreakdown →
2005680
16 20059
17 200469
18 200471
19 200379
20 199716

About LieLing Wu

LieLing Wu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Orthopedics and Sports Medicine and Toxicology, having authored 32 papers that have together received 3.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Hormonal and reproductive studies (4 papers), Bone health and osteoporosis research (4 papers), Menopause: Health Impacts and Treatments (4 papers), Nutritional Studies and Diet (3 papers), Cancer Risks and Factors (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (1.1k citations), Orthopedics and Sports Medicine (328 citations), Reproductive Medicine (265 citations) and Pathology and Forensic Medicine (497 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, JoAnn E. Manson, Jacques E. Rossouw, Marcia L. Stefanick, Vanessa M. Barnabei, Marcia Ko and Ross L. Prentice. Their work appears in journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism, CHEST Journal, Peritoneal Dialysis International and JNCI Journal of the National Cancer Institute.

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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