G. Liu

26 total papers · 503 total citations
15 papers, 381 citations indexed

About

G. Liu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, G. Liu has authored 15 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Oncology. Recurrent topics in G. Liu's work include Genomic variations and chromosomal abnormalities (6 papers), Genomics and Chromatin Dynamics (5 papers) and Chromosomal and Genetic Variations (3 papers). G. Liu is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Genomics and Chromatin Dynamics (5 papers) and Chromosomal and Genetic Variations (3 papers). G. Liu collaborates with scholars based in United States, China and United Kingdom. G. Liu's co-authors include Janice A. Schwartz, S.C. Brooks, Henry H. Heng, S.W. Bremer, Wenhan Lu, Stephen A. Krawetz, Alan A. Dombkowski, Judith Abrams, Stephen P. Ethier and Max S. Wicha and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

G. Liu

13 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
G. Liu	256	163	119	117	58	15	381
K. L. Satya‐Prakash	271 1.1×	89 0.5×	118 1.0×	104 0.9×	74 1.3×	16	440
Ludmila Fedorova	288 1.1×	110 0.7×	70 0.6×	137 1.2×	34 0.6×	16	413
Richard Friedl	339 1.3×	109 0.7×	130 1.1×	65 0.6×	35 0.6×	15	444
Katharina Eirich	311 1.2×	143 0.9×	83 0.7×	65 0.6×	31 0.5×	8	387
Matthew Holmes	304 1.2×	86 0.5×	65 0.5×	75 0.6×	27 0.5×	11	406
Winnie Tan	353 1.4×	51 0.3×	80 0.7×	75 0.6×	57 1.0×	16	439
Fei Chen	249 1.0×	150 0.9×	102 0.9×	69 0.6×	16 0.3×	16	405
Anja Jacobsen	178 0.7×	81 0.5×	107 0.9×	88 0.8×	32 0.6×	13	401
Pei Xin Lim	345 1.3×	80 0.5×	60 0.5×	160 1.4×	25 0.4×	10	392
Guo Liu	222 0.9×	116 0.7×	155 1.3×	32 0.3×	77 1.3×	14	374

Countries citing papers authored by G. Liu

Since Specialization

Citations

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

Fields of papers citing papers by G. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of G. Liu. A scholar is included among the top collaborators of G. 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 G. Liu. G. 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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