J. H. Song

107 total papers · 1.9k total citations
77 papers, 1.2k citations indexed

About

J. H. Song is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, J. H. Song has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Materials Chemistry, 46 papers in Electronic, Optical and Magnetic Materials and 21 papers in Electrical and Electronic Engineering. Recurrent topics in J. H. Song's work include Magnetic and transport properties of perovskites and related materials (41 papers), Electronic and Structural Properties of Oxides (22 papers) and ZnO doping and properties (21 papers). J. H. Song is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (41 papers), Electronic and Structural Properties of Oxides (22 papers) and ZnO doping and properties (21 papers). J. H. Song collaborates with scholars based in South Korea, United States and Japan. J. H. Song's co-authors include Harold Y. Hwang, David A. Muller, Lena F. Kourkoutis, J. Silcox, Niklas Dellby, Ondrej L. Krivanek, Tomofumi Susaki, Jinhee Kim, J. B. Ketterson and Sunglae Cho and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

J. H. Song

71 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
J. H. Song	785	470	304	268	230	77	1.2k
Gabriel Sánchez‐Santolino	819 1.0×	447 1.0×	513 1.7×	180 0.7×	220 1.0×	46	1.4k
Katia March	877 1.1×	505 1.1×	319 1.0×	304 1.1×	241 1.0×	50	1.5k
Celesta S. Chang	681 0.9×	484 1.0×	257 0.8×	256 1.0×	198 0.9×	35	1.1k
Matthew S. J. Marshall	664 0.8×	346 0.7×	360 1.2×	110 0.4×	114 0.5×	39	986
Karsten Tillmann	525 0.7×	175 0.4×	399 1.3×	133 0.5×	229 1.0×	40	1.0k
K. Medjanik	516 0.7×	255 0.5×	223 0.7×	140 0.5×	187 0.8×	54	1.1k
Toshiaki Tanigaki	483 0.6×	541 1.2×	260 0.9×	340 1.3×	303 1.3×	76	1.5k
Steven R. Spurgeon	921 1.2×	451 1.0×	369 1.2×	158 0.6×	86 0.4×	78	1.3k
Benedikt Haas	591 0.8×	209 0.4×	372 1.2×	247 0.9×	95 0.4×	59	983
G. Lilienkamp	523 0.7×	243 0.5×	496 1.6×	188 0.7×	248 1.1×	51	1.5k

Countries citing papers authored by J. H. Song

Since Specialization

Citations

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

Fields of papers citing papers by J. H. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Song. 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 J. H. Song. The network helps show where J. H. Song may publish in the future.

Co-authorship network of co-authors of J. H. Song

This figure shows the co-authorship network connecting the top 25 collaborators of J. H. Song. A scholar is included among the top collaborators of J. H. Song 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 J. H. Song. J. H. Song 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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