Connie Huang

31 total papers · 605 total citations
12 papers, 449 citations indexed

About

Connie Huang is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Connie Huang has authored 12 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Connie Huang's work include Pancreatic and Hepatic Oncology Research (2 papers), Neuroscience and Neural Engineering (2 papers) and Photoreceptor and optogenetics research (2 papers). Connie Huang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Neuroscience and Neural Engineering (2 papers) and Photoreceptor and optogenetics research (2 papers). Connie Huang collaborates with scholars based in United States. Connie Huang's co-authors include André E. Nel, Yang Sui, Justin Chen, Sijie Lin, Xiang Wang, Jeffrey I. Zink, Z. Hong Zhou, Tian Xia, Zongxi Li and Huan Meng and has published in prestigious journals such as Journal of the American Chemical Society, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Connie Huang

10 papers receiving 445 citations

Author Peers

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

Author						Papers	Cites
Connie Huang	178	160	149	121	49	12	449
Natalie Mendez	130 0.7×	212 1.3×	169 1.1×	123 1.0×	44 0.9×	11	506
Clara Yagüe	172 1.0×	198 1.2×	174 1.2×	103 0.9×	40 0.8×	9	426
Shlomo Margel	166 0.9×	161 1.0×	179 1.2×	114 0.9×	43 0.9×	9	476
Christophe Théron	221 1.2×	147 0.9×	191 1.3×	155 1.3×	29 0.6×	13	454
Di Zheng	121 0.7×	224 1.4×	259 1.7×	104 0.9×	59 1.2×	17	492
Yoon Seon Jeong	117 0.7×	269 1.7×	198 1.3×	138 1.1×	72 1.5×	7	535
Sandrine Quignard	177 1.0×	166 1.0×	156 1.0×	105 0.9×	30 0.6×	13	473
Xiaokang Ren	197 1.1×	244 1.5×	127 0.9×	172 1.4×	66 1.3×	16	500
Imran Hossain	213 1.2×	155 1.0×	218 1.5×	129 1.1×	63 1.3×	7	542
Tengjisi	212 1.2×	131 0.8×	178 1.2×	136 1.1×	19 0.4×	11	427

Countries citing papers authored by Connie Huang

Since Specialization

Citations

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

Fields of papers citing papers by Connie Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Huang

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