Linda Wu

2.6k total citations
46 papers, 1.9k citations indexed

About

Linda Wu is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Linda Wu has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Surgery. Recurrent topics in Linda Wu's work include Birth, Development, and Health (13 papers), Reproductive Biology and Fertility (11 papers) and Diabetes and associated disorders (5 papers). Linda Wu is often cited by papers focused on Birth, Development, and Health (13 papers), Reproductive Biology and Fertility (11 papers) and Diabetes and associated disorders (5 papers). Linda Wu collaborates with scholars based in Australia, China and United States. Linda Wu's co-authors include Rebecca L. Robker, Robert J. Norman, Darryl L. Russell, Xing Yang, Michelle Lane, Kylie R. Dunning, Xing Yang, Miaoxin Chen, Wen Luo and Michael A. Ignelzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Linda Wu

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Wu Australia 21 720 592 538 537 277 46 1.9k
Çiler Çelik-Özenci Türkiye 26 600 0.8× 263 0.4× 494 0.9× 705 1.3× 184 0.7× 83 1.9k
Antonina I. Frolova United States 20 505 0.7× 384 0.6× 325 0.6× 545 1.0× 163 0.6× 72 1.5k
Han Zhao China 30 986 1.4× 236 0.4× 769 1.4× 1.0k 1.9× 246 0.9× 114 2.4k
Shigang Zhao China 22 716 1.0× 206 0.3× 508 0.9× 700 1.3× 182 0.7× 97 1.6k
Dean E. Morbeck United States 23 1.1k 1.5× 538 0.9× 654 1.2× 672 1.3× 246 0.9× 71 2.3k
Han Zhao China 21 810 1.1× 163 0.3× 660 1.2× 658 1.2× 438 1.6× 69 1.7k
Fei Gong China 23 709 1.0× 373 0.6× 470 0.9× 484 0.9× 226 0.8× 97 1.5k
Woo Sik Lee South Korea 28 1.6k 2.2× 568 1.0× 806 1.5× 1.4k 2.5× 216 0.8× 140 2.9k
Kim I. Tilly United States 20 903 1.3× 146 0.2× 880 1.6× 509 0.9× 221 0.8× 25 2.0k
M.H.F. Sullivan United Kingdom 28 453 0.6× 396 0.7× 314 0.6× 332 0.6× 190 0.7× 73 2.0k

Countries citing papers authored by Linda Wu

Since Specialization
Citations

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

Fields of papers citing papers by Linda Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Wu

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

All Works

20 of 20 papers shown
1.
Winstanley, Yasmyn E., Alexander P. Sobinoff, Linda Wu, et al.. (2025). Telomere length in offspring is determined by mitochondrial-nuclear communication at fertilization. Nature Communications. 16(1). 2527–2527.
4.
Wu, Linda, et al.. (2025). GLP-1 Receptor Agonists and Non-Arteritic Anterior Ischemic Optic Neuropathy: What an Endocrinologist Needs to Know. The Journal of Clinical Endocrinology & Metabolism. 111(1). e308–e313.
5.
Lai, Wei-Cheng, Lei Wang, Yingying Wu, et al.. (2025). Association between metabolic score for insulin resistance and hypertension in middle-aged and older adults: a nationwide cross-sectional and longitudinal study. Aging Clinical and Experimental Research. 37(1). 187–187.
6.
Wu, Linda, Matteo S. Carlino, David A. Brown, et al.. (2023). Checkpoint Inhibitor-Associated Autoimmune Diabetes Mellitus Is Characterized by C-peptide Loss and Pancreatic Atrophy. The Journal of Clinical Endocrinology & Metabolism. 109(5). 1301–1307. 7 indexed citations
7.
Wu, Linda, Venessa Tsang, Alexander M. Menzies, et al.. (2023). Risk Factors and Characteristics of Checkpoint Inhibitor–Associated Autoimmune Diabetes Mellitus (CIADM): A Systematic Review and Delineation From Type 1 Diabetes. Diabetes Care. 46(6). 1292–1299. 29 indexed citations
8.
Wu, Linda, Venessa Tsang, Sarah C. Sasson, et al.. (2021). Unravelling Checkpoint Inhibitor Associated Autoimmune Diabetes: From Bench to Bedside. Frontiers in Endocrinology. 12. 764138–764138. 20 indexed citations
9.
Babicheva, Aleksandra, Ramon J. Ayon, Tengteng Zhao, et al.. (2019). MicroRNA-mediated downregulation of K+ channels in pulmonary arterial hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(1). L10–L26. 27 indexed citations
10.
Chen, Miaoxin, et al.. (2019). Differential impacts of gonadotrophins, IVF and embryo culture on mouse blastocyst development. Reproductive BioMedicine Online. 39(3). 372–382. 7 indexed citations
11.
Schindler, Tim, et al.. (2016). Spatiotemporal Image Correlation and Volumetric Impedance Indices in the Neonatal Brain. Journal of Ultrasound in Medicine. 35(3). 505–510. 1 indexed citations
12.
Sutton‐McDowall, Melanie L., Linda Wu, Malcolm S. Purdey, et al.. (2015). Nonesterified Fatty Acid-Induced Endoplasmic Reticulum Stress in Cattle Cumulus Oocyte Complexes Alters Cell Metabolism and Developmental Competence1. Biology of Reproduction. 94(1). 23–23. 74 indexed citations
14.
Fullston, Tod, Lauren Sandeman, Wan Xian Kang, et al.. (2015). Female offspring sired by diet induced obese male mice display impaired blastocyst development with molecular alterations to their ovaries, oocytes and cumulus cells. Journal of Assisted Reproduction and Genetics. 32(5). 725–735. 25 indexed citations
15.
16.
Yang, Xing, Linda Wu, Lindsay R. Chura, et al.. (2012). Exposure to lipid-rich follicular fluid is associated with endoplasmic reticulum stress and impaired oocyte maturation in cumulus-oocyte complexes. Fertility and Sterility. 97(6). 1438–1443. 160 indexed citations
17.
Wu, Linda, Darryl L. Russell, Robert J. Norman, & Rebecca L. Robker. (2012). Endoplasmic Reticulum (ER) Stress in Cumulus-Oocyte Complexes Impairs Pentraxin-3 Secretion, Mitochondrial Membrane Potential (ΔΨm), and Embryo Development. Molecular Endocrinology. 26(4). 562–573. 120 indexed citations
18.
Wu, Linda, Robert J. Norman, & Rebecca L. Robker. (2011). The impact of obesity on oocytes: evidence for lipotoxicity mechanisms. Reproduction Fertility and Development. 24(1). 29–34. 70 indexed citations
19.
Robker, Rebecca L., Linda Wu, & Xing Yang. (2011). Inflammatory pathways linking obesity and ovarian dysfunction. Journal of Reproductive Immunology. 88(2). 142–148. 115 indexed citations
20.
Wu, Linda, et al.. (1997). Miz1, a novel zinc finger transcription factor that interacts with Msx2 and enhances its affinity for DNA. Mechanisms of Development. 65(1-2). 3–17. 89 indexed citations

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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