Seung‐Hwan Kwon

6.1k total citations · 1 hit paper
62 papers, 3.6k citations indexed

About

Seung‐Hwan Kwon is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Seung‐Hwan Kwon has authored 62 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Neurology and 15 papers in Physiology. Recurrent topics in Seung‐Hwan Kwon's work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Alzheimer's disease research and treatments (9 papers). Seung‐Hwan Kwon is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Alzheimer's disease research and treatments (9 papers). Seung‐Hwan Kwon collaborates with scholars based in South Korea, United States and India. Seung‐Hwan Kwon's co-authors include Choon‐Gon Jang, Seok‐Yong Lee, Sa‐Ik Hong, Hyoung‐Chun Kim, Han Seok Ko, Saebom Lee, Valina L. Dawson, Ted M. Dawson, Sangjune Kim and Shi‐Xun Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Neuron.

In The Last Decade

Seung‐Hwan Kwon

62 papers receiving 3.5k citations

Hit Papers

Transneuronal Propagation of Pathologic α-Synuclein from ... 2019 2026 2021 2023 2019 250 500 750

Peers

Seung‐Hwan Kwon
Comparison fields: 5 of 122
  • Molecular Biology 1.3k
  • Neurology 980
  • Physiology 861
  • Cellular and Molecular Neuroscience 606
  • Neurology 589
Replace Yu‐He Yuan with:
Yu‐He Yuan China
Dong‐Young Choi South Korea
Wolf‐Dieter Rausch Austria
Mubeen A. Ansari United States
Tauheed Ishrat United States
Anupom Borah India
Mohammad Moshahid Khan United States
Kumar Vaibhav United States
Zaijun Zhang China
Mohammad Badruzzaman Khan United States
Yu‐He Yuan China View profile →
Citations per field, relative to Seung‐Hwan Kwon
Seung‐Hwan Kwon · 1×
Citations per year, relative to Seung‐Hwan Kwon
Seung‐Hwan Kwon · 1×

Countries citing papers authored by Seung‐Hwan Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Hwan Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Hwan Kwon. 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 Seung‐Hwan Kwon. The network helps show where Seung‐Hwan Kwon may publish in the future.

Co-authorship network of co-authors of Seung‐Hwan Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Hwan Kwon. A scholar is included among the top collaborators of Seung‐Hwan Kwon 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 Seung‐Hwan Kwon. Seung‐Hwan Kwon 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 5
2 134
3
Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease breakdown →
961
4 1
5 105
6 5
7 23
8 56
9 6
10 35
11 30
12 48
13 33
14 40
15 69
16 108
17 35
18 63
19 7
20 20

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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