Daniel Seung Kim

3.6k total citations
62 papers, 1.4k citations indexed

About

Daniel Seung Kim is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Daniel Seung Kim has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Daniel Seung Kim's work include Paraoxonase enzyme and polymorphisms (9 papers), Genetic Associations and Epidemiology (6 papers) and Congenital Heart Disease Studies (5 papers). Daniel Seung Kim is often cited by papers focused on Paraoxonase enzyme and polymorphisms (9 papers), Genetic Associations and Epidemiology (6 papers) and Congenital Heart Disease Studies (5 papers). Daniel Seung Kim collaborates with scholars based in United States, South Korea and United Kingdom. Daniel Seung Kim's co-authors include Gail P. Jarvik, Amber Burt, François I. Luks, Clement E. Furlong, Tomáš Vaisar, Jane Ranchalis, Graziella E. Ronsein, Nathalie Pamir, Jay W. Heinecke and Priska D. von Haller and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Seung Kim

57 papers receiving 1.3k citations

Peers

Daniel Seung Kim
Comparison fields: 5 of 125
  • Surgery 390
  • Molecular Biology 339
  • Endocrinology, Diabetes and Metabolism 234
  • Epidemiology 221
  • Cardiology and Cardiovascular Medicine 178
Replace Susanne Greber‐Platzer with:
Susanne Greber‐Platzer Austria
Henrike Lenzen Germany
Espen Jimenez‐Solem Denmark
Yi‐Jen Hung Taiwan
Ulla Körner Sweden
Frances Wensley United Kingdom
Naziha Kaabachi Tunisia
Stefan Blankenberg Germany
Karolina M. Stępień United Kingdom
Sharma Prabhakar United States
Susanne Greber‐Platzer Austria View profile →
Citations per field, relative to Daniel Seung Kim
Daniel Seung Kim · 1×
Citations per year, relative to Daniel Seung Kim
Daniel Seung Kim · 1×

Countries citing papers authored by Daniel Seung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Seung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Seung Kim. 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 Daniel Seung Kim. The network helps show where Daniel Seung Kim may publish in the future.

Co-authorship network of co-authors of Daniel Seung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Seung Kim. A scholar is included among the top collaborators of Daniel Seung Kim 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 Daniel Seung Kim. Daniel Seung Kim 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
# Work Indexed citations
1 3
2 1
3 0
4 1
5 3
6 4
7 2
8 1
9 1
10 13
11 42
12 5
13 43
14 28
15 9
16 56
17 17
18 97
19 25
20 6

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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