Dom‐Gene Tu

43 total papers · 558 total citations
33 papers, 439 citations indexed

About

Dom‐Gene Tu is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Dom‐Gene Tu has authored 33 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Dom‐Gene Tu's work include Medical Imaging and Pathology Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Dom‐Gene Tu is often cited by papers focused on Medical Imaging and Pathology Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Dom‐Gene Tu collaborates with scholars based in Taiwan and Ukraine. Dom‐Gene Tu's co-authors include Wen‐Wei Chang, Che‐Hsin Lee, Chi‐Wen Tu, Pi‐Lien Hung, Ying-Chao Chang, Chao Huang, Ling‐Yen Chiu, Gwo‐Tarng Sheu, Wei‐Jen Yao and Yu‐Tzu Tsao and has published in prestigious journals such as Cancer, Stroke and Spine.

In The Last Decade

Dom‐Gene Tu

32 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Dom‐Gene Tu	127	70	63	60	53	33	439
Daniel Rembao	134 1.1×	44 0.6×	36 0.6×	62 1.0×	92 1.7×	25	474
Xiaoqin Zheng	149 1.2×	41 0.6×	47 0.7×	25 0.4×	33 0.6×	26	381
Yuka Ueda	153 1.2×	95 1.4×	83 1.3×	52 0.9×	33 0.6×	48	479
Xinxin Li	127 1.0×	46 0.7×	28 0.4×	45 0.8×	70 1.3×	42	440
Jiayu Lv	142 1.1×	44 0.6×	39 0.6×	33 0.6×	37 0.7×	36	382
Ning Kong	174 1.4×	40 0.6×	97 1.5×	53 0.9×	57 1.1×	43	483
Shiqiang Shen	144 1.1×	80 1.1×	34 0.5×	86 1.4×	65 1.2×	22	453
Yuan Li	222 1.7×	50 0.7×	33 0.5×	40 0.7×	37 0.7×	23	458
Taotao Zhang	212 1.7×	60 0.9×	36 0.6×	127 2.1×	43 0.8×	34	485
Jianhua Liu	151 1.2×	49 0.7×	80 1.3×	79 1.3×	31 0.6×	37	468

Countries citing papers authored by Dom‐Gene Tu

Since Specialization

Citations

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

Fields of papers citing papers by Dom‐Gene Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dom‐Gene Tu. 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 Dom‐Gene Tu. The network helps show where Dom‐Gene Tu may publish in the future.

Co-authorship network of co-authors of Dom‐Gene Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Dom‐Gene Tu. A scholar is included among the top collaborators of Dom‐Gene Tu 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 Dom‐Gene Tu. Dom‐Gene Tu 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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