Hae Kyung Im

29.7k citations
80 papers · 4.2k indexed · 2 hit papers · h-index 27
Topics
Genetic Associations and Epidemiology (33 papers)Bioinformatics and Genomic Networks (18 papers)Genetic Mapping and Diversity in Plants and Animals (12 papers)

In The Last Decade

Hae Kyung Im

78 papers receiving 4.1k citations

Hit Papers

A gene-based association method for mapping traits using ...201520262018202220152019250500750

Peers

Hae Kyung Im
Comparison fields: 5 of 149
  • Molecular Biology 2.3k
  • Genetics 1.9k
  • Cancer Research 741
  • Physiology 351
  • Ecology 280
Replace Xiaoming Liu with:
Xiaoming Liu China
Paul Scheet United States
Sarah Hunt United Kingdom
Chad D. Huff United States
Michael A. Eberle United States
Jeffrey R. Smith United States
Ian Wilson United Kingdom
Wei‐Min Chen United States
Ani Manichaikul United States
Monika Stoll Germany
Hae Kyung Im relative to Xiaoming Liu China Xiaoming Liu's profile →
Citations per field
00.5×1.5×
Xiaoming Liu · 1×
Citations per year

Countries citing papers authored by Hae Kyung Im

Since Specialization
Citations

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

Fields of papers citing papers by Hae Kyung Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Kyung Im. 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 Hae Kyung Im. The network helps show where Hae Kyung Im may publish in the future.

Co-authorship network of co-authors of Hae Kyung Im

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Kyung Im. A scholar is included among the top collaborators of Hae Kyung Im 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 Hae Kyung Im. Hae Kyung Im is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 49
4 4
5 4
6 5
7 11
8 14
9 11
10 26
11 64
12
Opportunities and challenges for transcriptome-wide association studiesbreakdown →
506
13 169
14 358
15 14
16 6
17 30
18 23
19 28
20 65

About Hae Kyung Im

Hae Kyung Im is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (33 papers), Bioinformatics and Genomic Networks (18 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). The work is most often cited by research in Genetics (1.9k citations), Cancer Research (741 citations) and Molecular Biology (2.3k citations). Hae Kyung Im has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Dan L. Nicolae, Eric R. Gamazon, Nancy J. Cox, Heather E. Wheeler, Alvaro Barbeira, Keston Aquino-Michaels, Kaanan P. Shah, Paul J. Rathouz, James D. Forester and Milton Pividori. Their work appears in journals such as Science, Nature Communications and Nature Genetics.

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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