Benjamin Newcomb

686 citations
14 papers · 277 · 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
    • Signaling Pathways in Disease 1
    • Endoplasmic Reticulum Stress and Disease 2

Benjamin Newcomb

13 papers receiving 271 citations

Peers

Benjamin Newcomb
Comparison fields: 5 of 72
  • Cell Biology 62
  • Aging 6
  • Molecular Biology 182
  • Physiology 10
  • Geriatrics and Gerontology 7
Replace Irina E. Kovaleva with:
Irina E. Kovaleva Russia
Nathaniel W. Oswald United States
Hui Song China
Franziska Walter Ireland
Zsolt Pálfia Hungary
Zhilong Liu China
Juliette Martin Switzerland
Hiroshi Kondoh Japan
Jung-Hoon Kim South Korea
Wei‐Cheng Fang Taiwan
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

14 of 14 papers shown
#Work
1 200766
2 201330
3 201428
4 202126
5 201423
6 201822
7 198121
8 201719
9 201218
10 201418
11 20092
12 20232
13 19952
14 19810

About Benjamin Newcomb

Benjamin Newcomb is a scholar working on Molecular Biology, Cell Biology, Plant Science, Biochemistry and Infectious Diseases, having authored 14 papers that have together received 277 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Plant Molecular Biology Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lipid Membrane Structure and Behavior (2 papers), Genomics and Chromatin Dynamics (2 papers), Lipid metabolism and biosynthesis (2 papers), Signaling Pathways in Disease (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cell Biology (62 citations), Aging (6 citations), Molecular Biology (182 citations), Physiology (10 citations) and Geriatrics and Gerontology (7 citations). Benjamin Newcomb has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Yusuf A. Hannun, Antonio Bedalov, Jessica Kim, Safia Thaminy, Tonibelle Gatbonton, Eric J. Foss, Julian A. Simon, Christopher J. Clarke, Nabil Matmati and David Montefusco. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Scientific Reports, Research in Nursing & Health and Bioorganic & Medicinal Chemistry.

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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