Jean E. Bemis

2.7k citations
9 papers · 815 · h-index 9

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Calcium signaling and nucleotide metabolism
    • Biochemical effects in animals

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Mitochondrial Function and Pathology 1
    • Sirtuins and Resveratrol in Medicine 5

Jean E. Bemis

9 papers receiving 793 citations

Peers

Jean E. Bemis
Comparison fields: 5 of 82
  • Geriatrics and Gerontology 429
  • Physiology 110
  • Physiology 201
  • Aging 14
  • Epidemiology 214
Replace Tania Arcangeli with:
Tania Arcangeli Italy
Gavin Y. Wang United States
Praveen Kusumanchi United States
Ruiting Lin China
Yuxun Zhang United States
Ling He China
Kenneth D. Roth United States
Giorgia Colombo Italy
Mercedes Nadal‐Serrano Spain
Amruta Ronghe United States
Jean E. Bemis relative to Tania Arcangeli Italy Tania Arcangeli's profile →
Citations per field
00.5×2.8×
Tania Arcangeli · 1×
Citations per year

Countries citing papers authored by Jean E. Bemis

Since Specialization
Citations

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

Fields of papers citing papers by Jean E. Bemis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009193
2 2009183
3 2009139
4 2009106
5 200882
6 200738
7 200731
8 201623
9 200320

About Jean E. Bemis

Jean E. Bemis is a scholar working on Molecular Biology, Geriatrics and Gerontology, Physiology, Epidemiology and Organic Chemistry, having authored 9 papers that have together received 815 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (5 papers), Biochemical effects in animals (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Autophagy in Disease and Therapy (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Enzyme Structure and Function (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Geriatrics and Gerontology (429 citations), Physiology (110 citations), Physiology (201 citations), Aging (14 citations) and Epidemiology (214 citations). Jean E. Bemis has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jill C. Milne, Michael R. Jirousek, Robert B. Perni, Lei Jin, Christoph Westphal, David P. Carney, J. Joshua Smith, Joseph J. Nunes, James C. Hogg and Peter J. Barnes. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The FASEB Journal, Journal of Biological Chemistry and Protein Science.

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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