Anding Liu

26 total papers · 561 total citations
20 papers, 390 citations indexed

About

Anding Liu is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Anding Liu has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Anding Liu's work include Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (4 papers). Anding Liu is often cited by papers focused on Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (4 papers). Anding Liu collaborates with scholars based in China, Germany and United States. Anding Liu's co-authors include Olaf Dirsch, Uta Dahmen, Haoshu Fang, Jian Sun, Wei Dong, Cuntai Zhang, Hao Jin, Shenpei Liu, Jianguo Feng and Cindy Zer and has published in prestigious journals such as The FASEB Journal, Transplantation and Journal of Immunological Methods.

In The Last Decade

Anding Liu

20 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Anding Liu	156	80	76	65	52	20	390
Estel Solsona‐Vilarrasa	166 1.1×	81 1.0×	128 1.7×	51 0.8×	34 0.7×	13	392
Montserrat Costa	138 0.9×	199 2.5×	74 1.0×	41 0.6×	51 1.0×	26	425
Ayman A. Soubh	171 1.1×	45 0.6×	42 0.6×	40 0.6×	21 0.4×	22	396
Ana M. Rodrı́guez-López	158 1.0×	76 0.9×	34 0.4×	38 0.6×	54 1.0×	21	379
Shilei Wen	220 1.4×	24 0.3×	94 1.2×	62 1.0×	78 1.5×	25	425
K. Žarković	78 0.5×	43 0.5×	69 0.9×	69 1.1×	10 0.2×	18	413
Vincent Nuyens	160 1.0×	43 0.5×	51 0.7×	56 0.9×	12 0.2×	31	405
Bojan Jorgačević	111 0.7×	81 1.0×	185 2.4×	28 0.4×	44 0.8×	23	412
Katsuyoshi Higashi	222 1.4×	64 0.8×	100 1.3×	71 1.1×	34 0.7×	22	443
Hiromasa Ishii	127 0.8×	58 0.7×	49 0.6×	50 0.8×	31 0.6×	15	382

Countries citing papers authored by Anding Liu

Since Specialization

Citations

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

Fields of papers citing papers by Anding Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anding Liu

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