Juan Geng

69 total papers · 1.2k total citations
42 papers, 848 citations indexed

About

Juan Geng is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Juan Geng has authored 42 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Juan Geng's work include Genomic variations and chromosomal abnormalities (10 papers), Congenital heart defects research (7 papers) and Prenatal Screening and Diagnostics (6 papers). Juan Geng is often cited by papers focused on Genomic variations and chromosomal abnormalities (10 papers), Congenital heart defects research (7 papers) and Prenatal Screening and Diagnostics (6 papers). Juan Geng collaborates with scholars based in China, United States and Philippines. Juan Geng's co-authors include Q W Xie, Susan Nicholson, Carl Nathan, Jeffrey R. Weidner, Jimmy Calaycay, Richard A. Mumford, John L. Ho, José Roberto Lapa e Silva, Neio Boéchat and William N. Rom and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Juan Geng

38 papers receiving 832 citations

Author Peers

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

Author						Papers	Cites
Juan Geng	326	208	197	167	152	42	848
Xiaojing Zhao	428 1.3×	223 1.1×	151 0.8×	100 0.6×	122 0.8×	44	863
Darko Richter	328 1.0×	102 0.5×	187 0.9×	85 0.5×	252 1.7×	75	1.1k
Teri Jo Mauch	422 1.3×	159 0.8×	171 0.9×	58 0.3×	70 0.5×	31	826
S Itagaki	464 1.4×	95 0.5×	109 0.6×	77 0.5×	68 0.4×	37	923
Ahmad Farooq	284 0.9×	110 0.5×	124 0.6×	85 0.5×	208 1.4×	56	1.1k
Zhou Zhou	515 1.6×	83 0.4×	159 0.8×	38 0.2×	91 0.6×	41	1.0k
Alessandra Cervino	403 1.2×	263 1.3×	146 0.7×	139 0.8×	129 0.8×	19	887
Ling Wei	256 0.8×	72 0.3×	258 1.3×	111 0.7×	113 0.7×	74	981
Juha‐Pekka Pursiheimo	512 1.6×	91 0.4×	103 0.5×	70 0.4×	59 0.4×	29	920
Michele Lai	423 1.3×	147 0.7×	183 0.9×	101 0.6×	85 0.6×	52	936

Countries citing papers authored by Juan Geng

Since Specialization

Citations

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

Fields of papers citing papers by Juan Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Geng

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