Grace Jang

13 papers receiving 527 citations

Grace Jang's Hit Papers

Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition 2021 · 181 citations
1810+1+3Years since publication50100150

Peers

Grace Jang
Comparison fields: 5 of 91
  • Behavioral Neuroscience 36
  • Endocrinology, Diabetes and Metabolism 140
  • Biological Psychiatry 20
  • Genetics 112
  • Aging 6
Replace Naomi Oka with:
Naomi Oka Japan
Sahil Chawla United States
Sofia Jönsson Sweden
K. M. Bowen Australia
Songbai Xu China
Chantal Canon France
Т. Е. Таранушенко Russia
Yolanda E. Sosa Argentina
Preeti Chhabra United States
Sarita S. Naik United States
Grace Jang relative to Naomi Oka Japan Naomi Oka's profile →
Citations per field
00.5×2×4×6×8×9.3×
Naomi Oka · 1×
Citations per year

Countries citing papers authored by Grace Jang

Since Specialization
Citations

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

Fields of papers citing papers by Grace Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition
Hit paper breakdown →
2021181
2 202284
3 201557
4 202245
5 201543
6 201731
7 202124
8 202219
9 201713
10 202113
11 202312
12 202110
13 20254
14 20260

About Grace Jang

Grace Jang is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Cognitive Neuroscience, Biomaterials and Psychiatry and Mental health, having authored 14 papers that have together received 536 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (3 papers), Estrogen and related hormone effects (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Dementia and Cognitive Impairment Research (2 papers), Alzheimer's disease research and treatments (2 papers), Functional Brain Connectivity Studies (2 papers), Epigenetics and DNA Methylation (2 papers) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (36 citations), Endocrinology, Diabetes and Metabolism (140 citations), Biological Psychiatry (20 citations), Genetics (112 citations) and Aging (6 citations). Grace Jang has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include Eva Schelbaum, Silky Pahlajani, Lisa Mosconi, Steven Jett, Roberta Dı́az Brinton, Jonathan P. Dyke, Richard Isaacson, Hollie Hristov, Mony J. de Leon and Christine Anne Ganzer. Their work appears in journals such as Frontiers in Aging Neuroscience, Scientific Reports, Journal of Neuroscience, Birth Defects Research Part A Clinical and Molecular Teratology and Bone Research.

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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