Eva Schelbaum

9 papers receiving 379 citations

Eva Schelbaum's Hit Papers

Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition 2021 · 140 citations
1400+1+3Years since publication4080120

Peers

Eva Schelbaum
Comparison fields: 5 of 71
  • Behavioral Neuroscience 52
  • Endocrinology, Diabetes and Metabolism 165
  • Biological Psychiatry 23
  • Psychiatry and Mental health 62
  • Genetics 107
Replace Steven Jett with:
Steven Jett United States
Anindit Chhibber United States
Bushra Imtiaz Finland
Rodney A. Short United States
Annabelle M Warren Australia
Sarah Janicki United States
Géza Nagy Hungary
G. K. Stalla Germany
Neta Loewenthal Israel
Ulla Bjerre Denmark
Eva Schelbaum relative to Steven Jett United States Steven Jett's profile →
Citations per field
00.5×1.5×
Steven Jett · 1×
Citations per year

Countries citing papers authored by Eva Schelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition
Hit paper breakdown →
2021140
2 2020104
3 202271
4 202235
5 202215
6 202310
7 20218
8 20203
9 20241

About Eva Schelbaum

Eva Schelbaum is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Cognitive Neuroscience, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (3 papers), Estrogen and related hormone effects (3 papers), Alzheimer's disease research and treatments (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Dementia and Cognitive Impairment Research (2 papers), Neuroendocrine regulation and behavior (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Phytoestrogen effects and research (1 paper). The work is most often cited by research in Behavioral Neuroscience (52 citations), Endocrinology, Diabetes and Metabolism (165 citations), Biological Psychiatry (23 citations), Psychiatry and Mental health (62 citations) and Genetics (107 citations). Eva Schelbaum has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Roberta Dı́az Brinton, Steven Jett, Silky Pahlajani, Lisa Mosconi, Jonathan P. Dyke, Grace Jang, Hollie Hristov, Richard Isaacson, Randolph Andrews and Dawn C. Matthews. Their work appears in journals such as Frontiers in Aging Neuroscience, Scientific Reports, Neurology, Neurobiology of Learning and Memory and Experimental 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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