Grace Liu

75 total papers · 2.3k total citations
36 papers, 1.1k citations indexed

About

Grace Liu is a scholar working on Obstetrics and Gynecology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Grace Liu has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Obstetrics and Gynecology, 6 papers in Surgery and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Grace Liu's work include Uterine Myomas and Treatments (7 papers), Endometriosis Research and Treatment (5 papers) and Gynecological conditions and treatments (4 papers). Grace Liu is often cited by papers focused on Uterine Myomas and Treatments (7 papers), Endometriosis Research and Treatment (5 papers) and Gynecological conditions and treatments (4 papers). Grace Liu collaborates with scholars based in United States, Canada and China. Grace Liu's co-authors include Kofi S. Amankwah, Elizabeth Grigoriadis, David A. Harrison, Jack M. Colman, Dan Farine, John C. Spears, Mathew Sermer, Stefanos Stagkourakis, Giada Spigolon and David J. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Grace Liu

31 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Grace Liu	292	276	208	196	165	36	1.1k
Xiaofeng Yang	264 0.9×	287 1.0×	141 0.7×	30 0.2×	45 0.3×	48	1.4k
Michael V. Zaragoza	431 1.5×	112 0.4×	77 0.4×	162 0.8×	68 0.4×	30	1.4k
Satu Kuokkanen	228 0.8×	71 0.3×	39 0.2×	62 0.3×	140 0.8×	24	1.0k
E. S. Sachs	331 1.1×	107 0.4×	224 1.1×	34 0.2×	106 0.6×	50	1.3k
Noboru J. Sakabe	203 0.7×	75 0.3×	77 0.4×	130 0.7×	52 0.3×	27	1.3k
Erik Iwarsson	514 1.8×	80 0.3×	150 0.7×	94 0.5×	25 0.2×	49	1.4k
M. H. K. Shokeir	356 1.2×	49 0.2×	192 0.9×	70 0.4×	39 0.2×	48	1.3k
Yi Dai	140 0.5×	52 0.2×	36 0.2×	62 0.3×	89 0.5×	50	943
A Schneider	182 0.6×	16 0.1×	232 1.1×	85 0.4×	80 0.5×	31	1.0k
M. G. J. Jahoda	283 1.0×	86 0.3×	145 0.7×	26 0.1×	103 0.6×	40	1.0k

Countries citing papers authored by Grace Liu

Since Specialization

Citations

This map shows the geographic impact of Grace 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 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 Liu more than expected).

Fields of papers citing papers by Grace Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Liu

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

All Works

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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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