Injeong Shim

471 citations
13 papers · 163 indexed · 1 hit paper · h-index 8
Topics
Genetic Associations and Epidemiology (6 papers)Bioinformatics and Genomic Networks (2 papers)Lipoproteins and Cardiovascular Health (2 papers)

In The Last Decade

Injeong Shim

11 papers receiving 158 citations

Hit Papers

Association of genetic risk, lifestyle, and their interac...2024202620252024102030

Peers

Injeong Shim
Comparison fields: 5 of 64
  • Genetics 34
  • Radiology, Nuclear Medicine and Imaging 31
  • Molecular Biology 29
  • Physiology 22
  • Cardiology and Cardiovascular Medicine 21
Replace Maria Asunción Martínez‐Brocca with:
Maria Asunción Martínez‐Brocca Spain
Kelsey Mayo United States
Mushtaqur Rahman United Kingdom
K. Piwernetz Germany
Ana Barettino Spain
Liane J. Tinsley United States
George Taffet United States
Anke Raaijmakers Belgium
Seamus Duffy United Kingdom
Mark Beasley United States
Injeong Shim relative to Maria Asunción Martínez‐Brocca Spain Maria Asunción Martínez‐Brocca's profile →
Citations per field
00.5×2.6×
Maria Asunción Martínez‐Brocca · 1×
Citations per year

Countries citing papers authored by Injeong Shim

Since Specialization
Citations

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

Fields of papers citing papers by Injeong Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Injeong Shim

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4
Association of genetic risk, lifestyle, and their interaction with obesity and obesity-related morbiditiesbreakdown →
38
5 17
6 11
7 7
8 5
9 2
10 40
11 7
12 20
13 10

About Injeong Shim

Injeong Shim is a scholar working on Health Information Management, Genetics and Nephrology, having authored 13 papers that have together received 163 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Health Informatics (3 citations), Health Information Management (10 citations) and Biological Psychiatry (4 citations). Injeong Shim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Hong‐Hee Won, Woong‐Yang Park, Ron Do, Yeong Chan Lee, Pradeep Natarajan, Dong Hui Lim, Akl C. Fahed, Min Seo Kim, Se Joon Woo and Beomsu Kim. Their work appears in journals such as Nature Communications, Brain and Cell Metabolism.

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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