Julia Kang

21 papers receiving 716 citations

Peers

Julia Kang
Comparison fields: 5 of 77
  • Genetics 326
  • Molecular Medicine 58
  • Clinical Biochemistry 71
  • Cognitive Neuroscience 197
  • Endocrinology 42
Replace Evelyne Paly with:
Evelyne Paly France
Tsung-Han Chou United States
Ehsan Habibi Iran
Anna Sillén Sweden
Megan E. Bosch United States
Ana Velić Germany
Adekunle Odunsi United States
Habiba Chaâbouni Tunisia
Arturo Carta Italy
Pulin Che United States
Julia Kang relative to Evelyne Paly France Evelyne Paly's profile →
Citations per field
00.5×10.4×
Evelyne Paly · 1×
Citations per year

Countries citing papers authored by Julia Kang

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005210
2 200990
3 200281
4 202173
5 200057
6 200552
7 200542
8 200532
9 202318
10 201115
11 202311
12 20049
13 20168
14 19988
15 20206
16 20146
17 20185
18 20193
19 20203
20 20232

About Julia Kang

Julia Kang is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Ophthalmology and Cognitive Neuroscience, having authored 21 papers that have together received 732 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Epigenetics and DNA Methylation (3 papers), Medical Imaging Techniques and Applications (2 papers), Ophthalmology and Eye Disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Autism Spectrum Disorder Research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (326 citations), Molecular Medicine (58 citations), Clinical Biochemistry (71 citations), Cognitive Neuroscience (197 citations) and Endocrinology (42 citations). Julia Kang has collaborated with scholars based in United States, Hong Kong and Netherlands. Frequent co-authors include Carolyn Beebe Smith, Mei Qin, Thomas V Burlin, Chunhui Jiang, Joseph R. DiPersio, Mariana Castanheira, Melvin P. Weinstein, Lalitagauri M. Deshpande, Ronald N. Jones and Kimberly Cockerham. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Proceedings of the National Academy of Sciences, Ophthalmic Plastic and Reconstructive Surgery, Molecular Cancer Therapeutics and Journal of Clinical Microbiology.

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.

Explore authors with similar magnitude of impact