Gang Ren

103 total papers · 9.3k total citations
62 papers, 1.0k citations indexed

About

Gang Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Gang Ren has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 22 papers in Oncology. Recurrent topics in Gang Ren's work include Gastric Cancer Management and Outcomes (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Radiopharmaceutical Chemistry and Applications (8 papers). Gang Ren is often cited by papers focused on Gastric Cancer Management and Outcomes (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Radiopharmaceutical Chemistry and Applications (8 papers). Gang Ren collaborates with scholars based in China, United States and Israel. Gang Ren's co-authors include Zhen Cheng, Zheng Miao, Hongguang Liu, Lei Jiang, Xiangru Wu, Sanjiv S. Gambhir, Chengxin Fu, Yunpeng Zhao, Lu Yang and Yanfen Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Gang Ren

55 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Gang Ren	473	290	267	250	159	62	1.0k
Ella F. Jones	599 1.3×	248 0.9×	151 0.6×	167 0.7×	49 0.3×	49	1.1k
Aya Sugyo	362 0.8×	270 0.9×	311 1.2×	198 0.8×	53 0.3×	65	844
Xiaorong Sun	538 1.1×	119 0.4×	244 0.9×	331 1.3×	105 0.7×	72	924
Xiang Hu	187 0.4×	230 0.8×	470 1.8×	300 1.2×	172 1.1×	62	967
Hiroki Hayashi	277 0.6×	347 1.2×	615 2.3×	287 1.1×	470 3.0×	78	1.2k
Yasuji Ishimaru	114 0.2×	347 1.2×	244 0.9×	204 0.8×	87 0.5×	46	1.1k
Tatsuya Manabe	96 0.2×	245 0.8×	542 2.0×	157 0.6×	317 2.0×	62	1.0k
Shen Fu	181 0.4×	346 1.2×	215 0.8×	334 1.3×	133 0.8×	44	1.0k
Hong‐Wei Gao	77 0.2×	296 1.0×	180 0.7×	167 0.7×	344 2.2×	85	955
Keigo Yorozu	175 0.4×	282 1.0×	564 2.1×	288 1.2×	95 0.6×	52	1.0k

Countries citing papers authored by Gang Ren

Since Specialization

Citations

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

Fields of papers citing papers by Gang Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ren

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