Lu Gan

186 total papers · 3.9k total citations
142 papers, 2.8k citations indexed

About

Lu Gan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Lu Gan has authored 142 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 17 papers in Cancer Research and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Lu Gan's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Mitochondrial Function and Pathology (9 papers). Lu Gan is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Mitochondrial Function and Pathology (9 papers). Lu Gan collaborates with scholars based in China, Germany and United States. Lu Gan's co-authors include Jing Si, Chao Sun, Jie‐Ping Wan, Yunyun Liu, Cuixia Di, Rong Zhou, Aihong Mao, Hong Zhang, John T. L. Thong and Qiuyue Zhao and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Lu Gan

134 papers receiving 2.7k citations

Author Peers

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

Author						Papers	Cites
Lu Gan	1.3k	430	329	308	248	142	2.8k
Sang Yong Lee	1.4k 1.1×	392 0.9×	341 1.0×	466 1.5×	110 0.4×	146	4.0k
Ping Xu	1.6k 1.2×	196 0.5×	239 0.7×	169 0.5×	274 1.1×	134	3.0k
Zemin Wang	1.3k 1.0×	359 0.8×	234 0.7×	198 0.6×	200 0.8×	106	3.6k
Hao Jiang	1.4k 1.1×	379 0.9×	702 2.1×	94 0.3×	192 0.8×	155	3.1k
Paola Luciani	1.4k 1.1×	238 0.6×	271 0.8×	302 1.0×	215 0.9×	127	3.8k
Kiyoshi Tsuji	1.0k 0.8×	461 1.1×	263 0.8×	162 0.5×	177 0.7×	115	3.2k
Sven Hermann	1.1k 0.9×	416 1.0×	173 0.5×	292 0.9×	189 0.8×	125	3.4k
Masami Watanabe	1.8k 1.5×	566 1.3×	194 0.6×	218 0.7×	247 1.0×	143	3.0k
Harold G. Parkes	956 0.8×	423 1.0×	285 0.9×	295 1.0×	165 0.7×	99	3.3k
Giuseppe Grasso	1.2k 1.0×	221 0.5×	165 0.5×	140 0.5×	134 0.5×	138	2.7k

Countries citing papers authored by Lu Gan

Since Specialization

Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Gan

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