Grace Y. Liu

3.4k total citations · 2 hit papers
13 papers, 2.3k citations indexed

About

Grace Y. Liu is a scholar working on Molecular Biology, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Grace Y. Liu has authored 13 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Obstetrics and Gynecology and 3 papers in Oncology. Recurrent topics in Grace Y. Liu's work include Uterine Myomas and Treatments (4 papers), Polyamine Metabolism and Applications (3 papers) and Endometriosis Research and Treatment (3 papers). Grace Y. Liu is often cited by papers focused on Uterine Myomas and Treatments (4 papers), Polyamine Metabolism and Applications (3 papers) and Endometriosis Research and Treatment (3 papers). Grace Y. Liu collaborates with scholars based in United States, Canada and Ireland. Grace Y. Liu's 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 and has published in prestigious journals such as Science, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Grace Y. Liu

11 papers receiving 2.3k citations

Hit Papers

mTOR at the nexus of nutrition, growth, ageing and disease 2017 2026 2020 2023 2020 2017 500 1000 1.5k

Peers

Grace Y. Liu
Comparison fields: 5 of 115
  • Molecular Biology 1.5k
  • Epidemiology 357
  • Physiology 341
  • Cell Biology 308
  • Cancer Research 264
Mitsugu Shimobayashi Switzerland
Shan Jiang China
Jianqi Yang United States
Hidayat Sujuti Indonesia
Elaine A. Dunlop United Kingdom
Pawan Gulati United Kingdom
Yimin Fang United States
Mee‐Sup Yoon South Korea
Pankuri Goraksha-Hicks United States
Fei Xiao China
Mitsugu Shimobayashi Switzerland View profile →
Citations per field, relative to Grace Y. Liu
Grace Y. Liu · 1×
Citations per year, relative to Grace Y. Liu
Grace Y. Liu · 1×

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

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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