De‐Long Guan

96 total papers · 599 total citations
54 papers, 385 citations indexed

About

De‐Long Guan is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, De‐Long Guan has authored 54 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 24 papers in Genetics and 21 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in De‐Long Guan's work include Genomics and Phylogenetic Studies (26 papers), Genetic diversity and population structure (17 papers) and Orthoptera Research and Taxonomy (15 papers). De‐Long Guan is often cited by papers focused on Genomics and Phylogenetic Studies (26 papers), Genetic diversity and population structure (17 papers) and Orthoptera Research and Taxonomy (15 papers). De‐Long Guan collaborates with scholars based in China, United States and Canada. De‐Long Guan's co-authors include Sheng‐Quan Xu, Juanying Xie, Libin Ma, Wenqiang Wang, Liang Zhao, Jiajia Dong, Xiuxiu Zhang, Wei Gu, Zeng‐Qiang Qian and Xiaoyu Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

De‐Long Guan

48 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
De‐Long Guan	233	127	104	81	52	54	385
Zhumei Ren	218 0.9×	128 1.0×	113 1.1×	163 2.0×	108 2.1×	43	440
Wei Zhang	216 0.9×	95 0.7×	75 0.7×	90 1.1×	37 0.7×	34	392
Marko Anđelković	58 0.2×	65 0.5×	105 1.0×	50 0.6×	33 0.6×	44	367
Ana Wegier	115 0.5×	75 0.6×	95 0.9×	173 2.1×	55 1.1×	32	379
Seunghwan Lee	93 0.4×	164 1.3×	108 1.0×	94 1.2×	189 3.6×	66	386
Ran Li	244 1.0×	77 0.6×	83 0.8×	52 0.6×	36 0.7×	47	376
Bruno A. S. de Medeiros	80 0.3×	176 1.4×	92 0.9×	102 1.3×	92 1.8×	37	443
Jacqueline Heckenhauer	216 0.9×	136 1.1×	111 1.1×	97 1.2×	52 1.0×	28	360
E. H. Salkeld	82 0.4×	197 1.6×	146 1.4×	140 1.7×	272 5.2×	33	436
Jaime Gasca‐Pineda	112 0.5×	78 0.6×	105 1.0×	133 1.6×	14 0.3×	40	391

Countries citing papers authored by De‐Long Guan

Since Specialization

Citations

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

Fields of papers citing papers by De‐Long Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Long Guan. 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 De‐Long Guan. The network helps show where De‐Long Guan may publish in the future.

Co-authorship network of co-authors of De‐Long Guan

This figure shows the co-authorship network connecting the top 25 collaborators of De‐Long Guan. A scholar is included among the top collaborators of De‐Long Guan 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 De‐Long Guan. De‐Long Guan 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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