Guoxun Liu

11 total papers · 1.1k total citations
7 papers, 320 citations indexed

About

Guoxun Liu is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Guoxun Liu has authored 7 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Guoxun Liu's work include Pancreatic function and diabetes (5 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Pancreatitis Pathology and Treatment (1 paper). Guoxun Liu is often cited by papers focused on Pancreatic function and diabetes (5 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Pancreatitis Pathology and Treatment (1 paper). Guoxun Liu collaborates with scholars based in United States, France and United Kingdom. Guoxun Liu's co-authors include Ayse G. Kayali, Nora Sarvetnick, Marcie Kritzik, Aleksandr Stotland, Kurt Van Gunst, Malin Flodström‐Tullberg, Iain L. Campbell, Francisco Adrián, Sandrine Arnaud‐Dabernat and Yuzuru Eto and has published in prestigious journals such as The Journal of Cell Biology, Cancer Research and Diabetes.

In The Last Decade

Guoxun Liu

7 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Guoxun Liu	142	116	90	67	55	7	320
Cédric Cortijo	192 1.4×	72 0.6×	55 0.6×	20 0.3×	41 0.7×	7	318
Christopher M. Amantea	236 1.7×	116 1.0×	72 0.8×	37 0.6×	17 0.3×	10	344
Emanuela Roccato	180 1.3×	17 0.1×	135 1.5×	31 0.5×	42 0.8×	8	363
Eric Shi	133 0.9×	35 0.3×	73 0.8×	14 0.2×	31 0.6×	8	307
Harry Dedman	191 1.3×	93 0.8×	64 0.7×	77 1.1×	71 1.3×	7	342
Valerie K. Salato	113 0.8×	58 0.5×	36 0.4×	29 0.4×	22 0.4×	9	332
Marielle Auberval	137 1.0×	18 0.2×	50 0.6×	79 1.2×	21 0.4×	11	331
Ron Saulnier	203 1.4×	42 0.4×	90 1.0×	25 0.4×	18 0.3×	7	363
Amanda J Novak	260 1.8×	23 0.2×	46 0.5×	31 0.5×	44 0.8×	7	343
Simona Wagner	191 1.3×	30 0.3×	69 0.8×	17 0.3×	21 0.4×	10	350

Countries citing papers authored by Guoxun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Guoxun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxun Liu

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