Da Eun Nam

431 citations
23 papers · 301 · h-index 10

Impact in

Papers in

Da Eun Nam

21 papers receiving 296 citations

Peers

Da Eun Nam
Comparison fields: 5 of 63
  • Neurology 70
  • Cellular and Molecular Neuroscience 147
  • Molecular Medicine 25
  • Neurology 43
  • Pharmaceutical Science 16
Replace Valentina Pastori with:
Valentina Pastori Italy
Delaney G. Fisher United States
Zhuyan Shi China
Sofie R. Kleppner United States
Dimitrios Voulgaris Sweden
Marie Ménade Canada
Yan‐Qin Shen China
Nikita Budnik United States
Yuan Zha China
Adolfo Alfonso-Pecchio United States
Da Eun Nam relative to Valentina Pastori Italy Valentina Pastori's profile →
Citations per field
00.5×10×
Valentina Pastori · 1×
Citations per year

Countries citing papers authored by Da Eun Nam

Since Specialization
Citations

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

Fields of papers citing papers by Da Eun Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Eun Nam. 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 Da Eun Nam. The network helps show where Da Eun Nam may publish in the future.

Co-authors

The 25 scholars most cited alongside Da Eun Nam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Eun Nam Line = papers co-authored together Da Eun Nam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 200451
3 201736
4 201720
5 202017
6 201816
7 201814
8 201812
9 201710
10 20179
11 20229
12 20208
13 20208
14 20207
15 20216
16 20214
17 20233
18 20232
19 20231
20 20171

About Da Eun Nam

Da Eun Nam is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 23 papers that have together received 301 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (16 papers), Neurological diseases and metabolism (7 papers), Genetic Neurodegenerative Diseases (6 papers), Powdery Mildew Fungal Diseases (3 papers), Genetic diversity and population structure (3 papers), Plant and animal studies (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Neurology (70 citations), Cellular and Molecular Neuroscience (147 citations), Molecular Medicine (25 citations), Neurology (43 citations) and Pharmaceutical Science (16 citations). Da Eun Nam has collaborated with scholars based in South Korea, Pakistan and Mexico. Frequent co-authors include Ki Wha Chung, Soo Hyun Nam, Byung‐Ok Choi, Byung‐Ok Choi, Young Bin Hong, Tae Woo Kim, Ho‐Suk Choi, Byung Cheol Shin, Hee Dong Han and Geon Kwak. Their work appears in journals such as Journal of the Peripheral Nervous System, Molecules and Cells, Journal of Neuromuscular Diseases, Mitochondrion and International Journal of Molecular Sciences.

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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