Grace M. Hwang

62 total papers · 1.6k total citations
36 papers, 1.1k citations indexed

About

Grace M. Hwang is a scholar working on Biomedical Engineering, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Grace M. Hwang has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 9 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Grace M. Hwang's work include Neural dynamics and brain function (7 papers), Infection Control and Ventilation (6 papers) and Memory and Neural Mechanisms (5 papers). Grace M. Hwang is often cited by papers focused on Neural dynamics and brain function (7 papers), Infection Control and Ventilation (6 papers) and Memory and Neural Mechanisms (5 papers). Grace M. Hwang collaborates with scholars based in United States, United Kingdom and South Korea. Grace M. Hwang's co-authors include Michael J. Kahana, Joshua Jacobs, Tim Curran, Shane Lani, William J. Tyler, Yeshaiahu Fainman, Xin Lin, Boris Slutsky, Abdulkadir Yurt and Bennett B. Goldberg and has published in prestigious journals such as Journal of Neuroscience, Nano Letters and Applied Physics Letters.

In The Last Decade

Grace M. Hwang

33 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Grace M. Hwang	461	350	211	131	105	36	1.1k
Yoshikatsu Hayashi	337 0.7×	341 1.0×	147 0.7×	206 1.6×	61 0.6×	94	1.3k
Yuan Zhang	194 0.4×	349 1.0×	84 0.4×	237 1.8×	193 1.8×	76	1.3k
Masaaki Ogawa	197 0.4×	176 0.5×	217 1.0×	242 1.8×	64 0.6×	74	1.3k
Victor Krauthamer	444 1.0×	158 0.5×	138 0.7×	328 2.5×	28 0.3×	39	1.1k
Marco Pisanello	397 0.9×	242 0.7×	64 0.3×	111 0.8×	68 0.6×	44	957
Allan H. Frey	258 0.6×	107 0.3×	83 0.4×	56 0.4×	48 0.5×	59	1.0k
Barbara Spagnolo	492 1.1×	146 0.4×	461 2.2×	109 0.8×	52 0.5×	43	1.5k
R. R. Price	96 0.2×	610 1.7×	168 0.8×	52 0.4×	22 0.2×	36	1.3k
Kwang Su Kim	585 1.3×	189 0.5×	126 0.6×	445 3.4×	76 0.7×	57	1.5k
D. Freeman	246 0.5×	298 0.9×	123 0.6×	435 3.3×	48 0.5×	46	1.2k

Countries citing papers authored by Grace M. Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Grace M. Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace M. Hwang. 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 Grace M. Hwang. The network helps show where Grace M. Hwang may publish in the future.

Co-authorship network of co-authors of Grace M. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Grace M. Hwang. A scholar is included among the top collaborators of Grace M. Hwang 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 Grace M. Hwang. Grace M. Hwang 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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