Amber E. Baum

1.3k citations
13 papers · 975 · h-index 12

Impact in

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic Associations and Epidemiology 4
    • Genetics and Neurodevelopmental Disorders 2
    • Genetic Syndromes and Imprinting 2
    • Stress Responses and Cortisol 4

Amber E. Baum

12 papers receiving 955 citations

Peers

Amber E. Baum
Comparison fields: 5 of 81
  • Behavioral Neuroscience 175
  • Biological Psychiatry 104
  • Psychiatry and Mental health 289
  • Genetics 449
  • Cellular and Molecular Neuroscience 160
Replace Christopher D. Bown with:
Christopher D. Bown Canada
Olga Okladnova Germany
Zhifeng Zhou China
Rosalba Satta United States
Elena Michaelovsky Israel
Dubravka Hranilović Croatia
Ligia A. Papale United States
Pablo V. Gejman United States
Khyobeni Mozhui United States
Kathryn K. Chadman United States
Amber E. Baum relative to Christopher D. Bown Canada Christopher D. Bown's profile →
Citations per field
00.5×1.5×2.4×
Christopher D. Bown · 1×
Citations per year

Countries citing papers authored by Amber E. Baum

Since Specialization
Citations

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

Fields of papers citing papers by Amber E. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber E. Baum. 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 Amber E. Baum. The network helps show where Amber E. Baum may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007474
2 2004107
3 200878
4 200860
5 201052
6 200344
7 200643
8 200638
9 200137
10 200517
11 200413
12 200912
13 20000

About Amber E. Baum

Amber E. Baum is a scholar working on Genetics, Behavioral Neuroscience, Physiology, Social Psychology and Psychiatry and Mental health, having authored 13 papers that have together received 975 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic Associations and Epidemiology (4 papers), Adipose Tissue and Metabolism (4 papers), Stress Responses and Cortisol (4 papers), Bipolar Disorder and Treatment (3 papers), Neuroendocrine regulation and behavior (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Behavioral Neuroscience (175 citations), Biological Psychiatry (104 citations), Psychiatry and Mental health (289 citations), Genetics (449 citations) and Cellular and Molecular Neuroscience (160 citations). Amber E. Baum has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Eva E. Redei, Nasim Ahmadiyeh, Leah C. Solberg, Francis J. McMahon, Joseph S. Takahashi, Marcella Rietschel, Sven Cichon, Gary A. Churchill, Alexander Georgi and Susanne Höfels. Their work appears in journals such as Molecular Psychiatry, Mammalian Genome, Biological Psychiatry, Endocrinology and Behavioral and Brain Functions.

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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