Gina Kang

25 total papers · 463 total citations
14 papers, 279 citations indexed

About

Gina Kang is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Gina Kang has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cognitive Neuroscience and 5 papers in Genetics. Recurrent topics in Gina Kang's work include Congenital heart defects research (7 papers), Autism Spectrum Disorder Research (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Gina Kang is often cited by papers focused on Congenital heart defects research (7 papers), Autism Spectrum Disorder Research (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Gina Kang collaborates with scholars based in United States, Japan and Canada. Gina Kang's co-authors include Noboru Hiroi, Takeshi Hiramoto, Go Suzuki, Raju Kucherlapati, Yasushi Satoh, Yasuhiro Watanabe, Kenji Tanigaki, William S. Trimble, Takeshi Izumi and Akira Nishi and has published in prestigious journals such as Biological Psychiatry, Human Molecular Genetics and Molecular Psychiatry.

In The Last Decade

Gina Kang

13 papers receiving 267 citations

Author Peers

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

Author						Papers	Cites
Gina Kang	149	114	83	45	35	14	279
Masako Taniike	94 0.6×	43 0.4×	36 0.4×	102 2.3×	33 0.9×	13	295
Nicolò Caporale	153 1.0×	89 0.8×	111 1.3×	16 0.4×	9 0.3×	11	323
Dea Adamsen	85 0.6×	57 0.5×	65 0.8×	40 0.9×	10 0.3×	11	279
Daji Guo	121 0.8×	67 0.6×	50 0.6×	13 0.3×	10 0.3×	15	245
Augusto Morales	82 0.6×	68 0.6×	74 0.9×	17 0.4×	7 0.2×	14	324
Amy S. Kohtz	95 0.6×	94 0.8×	52 0.6×	76 1.7×	11 0.3×	19	317
Mohammad Saharul Islam	128 0.9×	94 0.8×	46 0.6×	29 0.6×	5 0.1×	11	247
Soh Agatsuma	197 1.3×	85 0.7×	55 0.7×	23 0.5×	37 1.1×	11	319
Vesna Bryn	83 0.6×	116 1.0×	148 1.8×	14 0.3×	9 0.3×	8	287
Rapita Sood	123 0.8×	31 0.3×	26 0.3×	59 1.3×	20 0.6×	12	257

Countries citing papers authored by Gina Kang

Since Specialization

Citations

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

Fields of papers citing papers by Gina Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Kang

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