Jared D. Hoffman

729 citations
14 papers · 651 · h-index 8

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 4
    • Alzheimer's disease research and treatments 4
    • Dietary Effects on Health 2

Jared D. Hoffman

13 papers receiving 644 citations

Peers

Jared D. Hoffman
Comparison fields: 5 of 64
  • Aging 52
  • Neurology 60
  • Physiology 177
  • Biological Psychiatry 7
  • Molecular Biology 320
Replace Renata Padilha Guedes with:
Renata Padilha Guedes Brazil
Tianyi Jiang China
Ximonie Clark Australia
Kelly G. Jameson United States
Judy C. Triplett United States
Martina Casati Italy
Francisco Donoso Ireland
Camille Vandenberghe Canada
Adriana Alarcón‐Aguilar Mexico
Li‐Ping Gao China
Jared D. Hoffman relative to Renata Padilha Guedes Brazil Renata Padilha Guedes's profile →
Citations per field
00.5×2×3.3×
Renata Padilha Guedes · 1×
Citations per year

Countries citing papers authored by Jared D. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Jared D. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared D. Hoffman. 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 Jared D. Hoffman. The network helps show where Jared D. Hoffman may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018265
2 2019115
3 2017113
4 201669
5 202123
6 201818
7 201716
8 201911
9 20157
10 20156
11 20206
12 20161
13 20191
14 20180

About Jared D. Hoffman

Jared D. Hoffman is a scholar working on Aging, Physiology, Neurology, Toxicology and Molecular Biology, having authored 14 papers that have together received 651 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Alzheimer's disease research and treatments (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Bioactive Compounds and Antitumor Agents (2 papers), Barrier Structure and Function Studies (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Dietary Effects on Health (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Aging (52 citations), Neurology (60 citations), Physiology (177 citations), Biological Psychiatry (7 citations) and Molecular Biology (320 citations). Jared D. Hoffman has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Ai‐Ling Lin, Ishita J. Parikh, Stefan J. Green, George Edward Chlipala, Anika M. S. Hartz, Bjoern Bauer, Michael Paul Murphy, Brent S. Sokola, Lucille M. Yanckello and Mignon Keaton. Their work appears in journals such as Frontiers in Aging Neuroscience, Current Developments in Nutrition, Frontiers in Nutrition, PLoS ONE and Alzheimer s & Dementia.

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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