Benjamin Abrams

1.2k citations
17 papers · 951 · h-index 10

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Ubiquitin and proteasome pathways 2
    • Mitochondrial Function and Pathology 2
    • Alzheimer's disease research and treatments 7

Benjamin Abrams

17 papers receiving 932 citations

Peers

Benjamin Abrams
Comparison fields: 5 of 81
  • Aging 180
  • Developmental Neuroscience 135
  • Cellular and Molecular Neuroscience 258
  • Cell Biology 170
  • Molecular Biology 592
Replace Lukas J. Neukomm with:
Lukas J. Neukomm Switzerland
Shermali Gunawardena United States
Lukasz J. Bugaj United States
Mark F.A. VanBerkum United States
Alexandra B. Byrne United States
Mia C. Nichol United States
Yoichi Araki Japan
Fumio Yoshikawa Japan
Chee Yeun Chung United States
Dairín Kieran Ireland
Benjamin Abrams relative to Lukas J. Neukomm Switzerland Lukas J. Neukomm's profile →
Citations per field
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Lukas J. Neukomm · 1×
Citations per year

Countries citing papers authored by Benjamin Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005292
2 2011203
3 2004189
4 201782
5 201241
6 200834
7 201827
8 202026
9 201716
10 201914
11 20248
12 20238
13 20223
14 19512
15 20232
16 20102
17 20212

About Benjamin Abrams

Benjamin Abrams is a scholar working on Molecular Biology, Physiology, Biomaterials, Aging and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 951 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Protein Structure and Dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Mitochondrial Function and Pathology (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Aging (180 citations), Developmental Neuroscience (135 citations), Cellular and Molecular Neuroscience (258 citations), Cell Biology (170 citations) and Molecular Biology (592 citations). Benjamin Abrams has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Brock Grill, Xun Huang, Yishi Jin, Edward H. Liao, Mei Zhen, Wesley Hung, Alexandr Goncharov, Andrew Chisholm, Katsunori Nakata and Bin Chen. Their work appears in journals such as Developmental Dynamics, Biochemistry, Journal of the American Chemical Society, Journal of Neuroscience and ChemBioChem.

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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