Heejung Shim

53 total papers · 1.6k total citations
20 papers, 609 citations indexed

About

Heejung Shim is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Heejung Shim has authored 20 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Heejung Shim's work include RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (5 papers) and Genomics and Chromatin Dynamics (4 papers). Heejung Shim is often cited by papers focused on RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (5 papers) and Genomics and Chromatin Dynamics (4 papers). Heejung Shim collaborates with scholars based in Australia, United States and United Kingdom. Heejung Shim's co-authors include Matthew Stephens, Ronald M. Krauss, Samia Mora, Deborah A. Nickerson, Joshua D. Smith, Daniel I. Chasman, Paul M. Ridker, Jonathan K. Pritchard, Yoav Gilad and Anil Raj and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Heejung Shim

17 papers receiving 605 citations

Hit Papers

A Multivariate Genome-Wid... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Heejung Shim 327 221 84 49 41 20 609
Carlo Sidore 307 0.9× 414 1.9× 82 1.0× 43 0.9× 26 0.6× 24 663
Duen-Mei Wang 279 0.9× 216 1.0× 94 1.1× 35 0.7× 38 0.9× 19 575
Andrew Crenshaw 236 0.7× 182 0.8× 74 0.9× 37 0.8× 43 1.0× 12 663
Liu Yang 316 1.0× 179 0.8× 39 0.5× 21 0.4× 48 1.2× 14 630
Deidre M Mattiske 361 1.1× 102 0.5× 98 1.2× 51 1.0× 35 0.9× 27 574
Melissa S. McNulty 468 1.4× 87 0.4× 68 0.8× 59 1.2× 57 1.4× 19 698
Stephanie Shao 255 0.8× 173 0.8× 96 1.1× 50 1.0× 32 0.8× 27 613
Penghua Yang 310 0.9× 195 0.9× 39 0.5× 41 0.8× 34 0.8× 27 628
Ricardo A. Verdugo 218 0.7× 178 0.8× 42 0.5× 37 0.8× 77 1.9× 32 513
Ferdouse Begum 347 1.1× 244 1.1× 67 0.8× 65 1.3× 21 0.5× 14 606

Countries citing papers authored by Heejung Shim

Since Specialization
Citations

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

Fields of papers citing papers by Heejung Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heejung Shim

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