Julia Kim

3.0k citations
89 papers · 2.1k · h-index 21

Impact in

    • Tryptophan and brain disorders
  • Health top 2%
    • Vaccine Coverage and Hesitancy
    • Intimate Partner and Family Violence

Papers in

Julia Kim

87 papers receiving 2.0k citations

Peers

Julia Kim
Comparison fields: 5 of 154
  • Biological Psychiatry 200
  • Health 260
  • Psychiatry and Mental health 379
  • Behavioral Neuroscience 77
  • Cognitive Neuroscience 274
Replace Young‐Hoon Ko with:
Young‐Hoon Ko South Korea
Gian Maria Galeazzi Italy
Lakshika Tennakoon United States
Flávio Pechansky Brazil
Jordan DeVylder United States
April D. Thames United States
Susanne Lee United States
Yan Cheng China
Shiqiu Meng China
Benedetta Vai Italy
Julia Kim relative to Young‐Hoon Ko South Korea Young‐Hoon Ko's profile →
Citations per field
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Young‐Hoon Ko · 1×
Citations per year

Countries citing papers authored by Julia Kim

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011218
2 2017181
3 2002171
4 2008131
5 2021127
6 2010123
7 201894
8 200676
9 201172
10 201965
11 201861
12 200953
13 201848
14 201847
15 201936
16 202132
17 202030
18 201928
19 202123
20 199823

About Julia Kim

Julia Kim is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Clinical Psychology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (17 papers), Advanced MRI Techniques and Applications (7 papers), Functional Brain Connectivity Studies (6 papers), Bipolar Disorder and Treatment (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Dementia and Cognitive Impairment Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Obsessive-Compulsive Spectrum Disorders (3 papers). The work is most often cited by research in Biological Psychiatry (200 citations), Health (260 citations), Psychiatry and Mental health (379 citations), Behavioral Neuroscience (77 citations) and Cognitive Neuroscience (274 citations). Julia Kim has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Ariel Graff‐Guerrero, Philip Gerretsen, Mmatshilo Motsei, Fernando Caravaggio, Yusuke Iwata, Gary Remington, Eric Plitman, Shinichiro Nakajima, Parita Shah and Jun Ku Chung. Their work appears in journals such as Biological Psychiatry, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal of Psychiatric Research, Schizophrenia Bulletin and Journal of Alzheimer s Disease.

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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