Grace Y. Liu

3.4k citations
13 papers · 2.3k indexed · 2 hit papers · h-index 7
Topics
Uterine Myomas and Treatments (4 papers)Polyamine Metabolism and Applications (3 papers)Endometriosis Research and Treatment (3 papers)

In The Last Decade

Grace Y. Liu

11 papers receiving 2.3k citations

Hit Papers

mTOR at the nexus of nutrition, growth, ageing and disease20172026202020232020201750010001.5k

Peers

Grace Y. Liu
Comparison fields: 5 of 115
  • Molecular Biology 1.5k
  • Epidemiology 357
  • Physiology 341
  • Cell Biology 308
  • Cancer Research 264
Replace Pankuri Goraksha-Hicks with:
Pankuri Goraksha-Hicks United States
Mitsugu Shimobayashi Switzerland
Sonia M. Scaria United States
Pawan Gulati United Kingdom
Hidayat Sujuti Indonesia
Julien Prudent United Kingdom
Melanie P. Gygi United States
Jeanho Yun South Korea
Yimin Fang United States
Katarzyna Mnich Ireland
Grace Y. Liu relative to Pankuri Goraksha-Hicks United States Pankuri Goraksha-Hicks's profile →
Citations per field
00.5×2.9×
Pankuri Goraksha-Hicks · 1×
Citations per year

Countries citing papers authored by Grace Y. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Grace Y. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace Y. Liu. 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 Grace Y. Liu. The network helps show where Grace Y. Liu may publish in the future.

Co-authorship network of co-authors of Grace Y. Liu

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 15
2 1
3 0
4 5
5
mTOR at the nexus of nutrition, growth, ageing and diseasebreakdown →
1766
6 38
7 1
8
SAMTOR is an S -adenosylmethionine sensor for the mTORC1 pathwaybreakdown →
413
9
SAMTOR is an S-adenosylmethionine sensor for the mTORC1 pathway
2
10 19
11 47
12 23
13 2

About Grace Y. Liu

Grace Y. Liu is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Physiology, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (4 papers), Polyamine Metabolism and Applications (3 papers) and Endometriosis Research and Treatment (3 papers). The work is most often cited by research in Aging (111 citations), Molecular Biology (1.5k citations) and Physiology (90 citations). Grace Y. Liu has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include David M. Sabatini, Patrycja A. Krawczyk, Jose M. Orozco, J. Wade Harper, Xin Gu, Kendall J. Condon, Sonia M. Scaria, Steven P. Gygi, Robert A. Saxton and Theodora S. Ross. Their work appears in journals such as Science, Nature Communications and Nature Reviews Molecular Cell Biology.

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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