Mickey Huang

9 total papers · 698 total citations
7 papers, 111 citations indexed

About

Mickey Huang is a scholar working on Genetics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Mickey Huang has authored 7 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Organic Chemistry and 2 papers in Molecular Biology. Recurrent topics in Mickey Huang's work include Neurogenetic and Muscular Disorders Research (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Mickey Huang is often cited by papers focused on Neurogenetic and Muscular Disorders Research (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Mickey Huang collaborates with scholars based in United States and France. Mickey Huang's co-authors include Marcie A. Glicksman, Gregory D. Cuny, Ella Zeldich, Gwendalyn D. King, Carmela R. Abraham, Kathleen Seyb, Eli Schuman, John Concannon, Maxime Robin and Ci-Di Chen and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Neuroscience Letters.

In The Last Decade

Mickey Huang

7 papers receiving 109 citations

Author Peers

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

Author						Papers	Cites
Mickey Huang	43	35	30	27	23	7	111
Snejana Jurici	37 0.9×	28 0.8×	33 1.1×	36 1.3×	13 0.6×	7	121
Jana Sovová	184 4.3×	22 0.6×	28 0.9×	21 0.8×	18 0.8×	6	238
Catharine Harris	50 1.2×	24 0.7×	154 5.1×	31 1.1×	9 0.4×	7	225
Marie Elisabeth Samson-Bouma	76 1.8×	10 0.3×	36 1.2×	16 0.6×	38 1.7×	7	215
Frank Harrison	57 1.3×	7 0.2×	26 0.9×	61 2.3×	15 0.7×	8	229
Virginie Hubert	79 1.8×	21 0.6×	7 0.2×	39 1.4×	34 1.5×	5	222
Zelpha D’Souza	100 2.3×	19 0.5×	45 1.5×	118 4.4×	50 2.2×	8	225
Rana Chakrabarti	145 3.4×	5 0.1×	25 0.8×	28 1.0×	13 0.6×	7	226
Dirk Korthaus	141 3.3×	18 0.5×	39 1.3×	25 0.9×	50 2.2×	9	219
Kilimangalam Narayanan	39 0.9×	6 0.2×	7 0.2×	18 0.7×	25 1.1×	7	216

Countries citing papers authored by Mickey Huang

Since Specialization

Citations

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

Fields of papers citing papers by Mickey Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickey Huang

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