Kathryn A. Chung

5.4k citations
39 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Parkinson's Disease Mechanisms and Treatments (28 papers)Neurological disorders and treatments (11 papers)Dementia and Cognitive Impairment Research (8 papers)

In The Last Decade

Kathryn A. Chung

36 papers receiving 2.6k citations

Hit Papers

DJ-1 and α-synuclein in human cerebrospinal fluid as biom...20102026201520202010100200300400

Peers

Kathryn A. Chung
Comparison fields: 5 of 113
  • Neurology 1.8k
  • Physiology 707
  • Cellular and Molecular Neuroscience 522
  • Psychiatry and Mental health 470
  • Molecular Biology 451
Replace Kathrin Brockmann with:
Kathrin Brockmann Germany
Tommaso Schirinzi Italy
Sigurlaug Sveinbjörnsdóttir Iceland
Qianqian Wei China
Danna Jennings United States
Louis C.S. Tan Singapore
Ruwei Ou China
Jan Linder Sweden
Nicola Tambasco Italy
J.J. Zarranz Spain
Kathryn A. Chung relative to Kathrin Brockmann Germany Kathrin Brockmann's profile →
Citations per field
00.5×1.6×
Kathrin Brockmann · 1×
Citations per year

Countries citing papers authored by Kathryn A. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn A. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn A. Chung. 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 Kathryn A. Chung. The network helps show where Kathryn A. Chung may publish in the future.

Co-authorship network of co-authors of Kathryn A. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn A. Chung. A scholar is included among the top collaborators of Kathryn A. Chung 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 Kathryn A. Chung. Kathryn A. Chung 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 0
2 2
3 5
4 13
5 29
6 37
7 2
8 14
9 11
10 47
11 106
12 48
13 94
14 96
15 186
16 32
17 173
18
DJ-1 and α-synuclein in human cerebrospinal fluid as biomarkers of Parkinson’s diseasebreakdown →
496
19 336
20 223

About Kathryn A. Chung

Kathryn A. Chung is a scholar working on Neurology, Physical Therapy, Sports Therapy and Rehabilitation and Psychiatry and Mental health, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (28 papers), Neurological disorders and treatments (11 papers) and Dementia and Cognitive Impairment Research (8 papers). The work is most often cited by research in Neurology (1.8k citations), Physical Therapy, Sports Therapy and Rehabilitation (223 citations) and Neurology (390 citations). Kathryn A. Chung has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Joseph F. Quinn, Thomas J. Montine, Cyrus P. Zabetian, James B. Leverenz, Elaine R. Peskind, John G. Nutt, Joseph Jankovic, Min Shi, Jing Zhang and Aneeka M. Hancock. Their work appears in journals such as PLoS ONE, Brain and Neurology.

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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