Julia Chung

704 citations
19 papers · 538 · h-index 12

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Machine Learning in Bioinformatics 1
    • Alzheimer's disease research and treatments 3

Julia Chung

19 papers receiving 514 citations

Peers

Julia Chung
Comparison fields: 5 of 103
  • Biological Psychiatry 22
  • Pharmacology 147
  • Molecular Medicine 34
  • Electrochemistry 41
  • Infectious Diseases 112
Replace Heather Zwickey with:
Heather Zwickey United States
Robert Swift United States
Ingrid Moráles Spain
Simon Geisler Austria
Tomoki Yamada Japan
Nathalie De Vos Belgium
Haïthem Chtioui Switzerland
Dawn M. Richard United States
Buqing Yi Germany
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Citations per field
00.5×8.5×
Heather Zwickey · 1×
Citations per year

Countries citing papers authored by Julia Chung

Since Specialization
Citations

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

Fields of papers citing papers by Julia Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Chung, 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 Julia Chung Line = papers co-authored together Julia Chung links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2000132
2 2004128
3 202278
4 200533
5 201129
6 201424
7 201422
8 201917
9 201712
10 201312
11 202112
12 202411
13 20169
14 20068
15 20235
16 20173
17 20141
18 20231
19 20251

About Julia Chung

Julia Chung is a scholar working on Molecular Biology, Physiology, Psychiatry and Mental health, Electrochemistry and Cognitive Neuroscience, having authored 19 papers that have together received 538 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (4 papers), Dementia and Cognitive Impairment Research (4 papers), Electrochemical sensors and biosensors (3 papers), Alzheimer's disease research and treatments (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Conducting polymers and applications (2 papers), Analytical Chemistry and Sensors (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biological Psychiatry (22 citations), Pharmacology (147 citations), Molecular Medicine (34 citations), Electrochemistry (41 citations) and Infectious Diseases (112 citations). Julia Chung has collaborated with scholars based in United States and Australia. Frequent co-authors include Jeffrey L. Cummings, Lior Sepunaru, Kevin W. Plaxco, Barry Dvorchik, William Knebel, Helen Kastrissios, Robert D. Arbeit, Jian Bi, Aaron McMurtray and Jill Razani. Their work appears in journals such as Neurology, Journal of Sensory Studies, Journal of the American Chemical Society, Antimicrobial Agents and Chemotherapy and Electrochimica Acta.

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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