Benjamin Newcomb

698 citations
15 papers · 282 · h-index 10

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • Sphingolipid Metabolism and Signaling 5
    • Lipid Membrane Structure and Behavior 2
    • Genomics and Chromatin Dynamics 2
    • Endoplasmic Reticulum Stress and Disease 2

Benjamin Newcomb

13 papers receiving 276 citations

Peers

Benjamin Newcomb
Comparison fields: 5 of 66
  • Cell Biology 60
  • Aging 5
  • Molecular Biology 181
  • Geriatrics and Gerontology 7
  • Physiology 10
Replace Irina E. Kovaleva with:
Irina E. Kovaleva Russia
Xiaoxian Dong China
Natsumi Sakata Japan
Letícia Meneguello Brazil
Zsolt Pálfia Hungary
Juliette Martin Switzerland
Hui Song China
Atsuko Ikeda Japan
Dorota Grabowska Poland
John A. Mountzouris United States
Benjamin Newcomb relative to Irina E. Kovaleva Russia Irina E. Kovaleva's profile →
Citations per field
00.5×1.5×2.3×
Irina E. Kovaleva · 1×
Citations per year

Countries citing papers authored by Benjamin Newcomb

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Newcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200766
2 201330
3 202128
4 201428
5 201423
6 201823
7 198121
8 201719
9 201219
10 201419
11 20232
12 20092
13 19952
14 20250
15 19810

About Benjamin Newcomb

Benjamin Newcomb is a scholar working on Molecular Biology, Cell Biology, Plant Science, Physiology and Physiology, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Lysosomal Storage Disorders Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Cell Biology (60 citations), Aging (5 citations), Molecular Biology (181 citations), Geriatrics and Gerontology (7 citations) and Physiology (10 citations). Benjamin Newcomb has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Yusuf A. Hannun, Antonio Bedalov, Eric J. Foss, Julian A. Simon, Safia Thaminy, Jessica Kim, Tonibelle Gatbonton, Christopher J. Clarke, David Montefusco and Nabil Matmati. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, Nursing Research, Research in Nursing & Health and Health Care For Women International.

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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