Christopher Kamel

1.4k citations
4 papers · 1.2k · 1 hit paper · h-index 3

Impact in

Papers in

Christopher Kamel

4 papers receiving 1.2k citations

Christopher Kamel's Hit Papers

Mammalian SIRT1 Represses Forkhead Transcription Factors 2004 · 1.2k citations
1.2k0+7+14Years since publication2505007501000

Peers

Christopher Kamel
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 718
  • Aging 197
  • Physiology 126
  • Physiology 383
  • Epidemiology 286
Replace Ron McCord with:
Ron McCord United States
Luisa Tasselli United States
Caiyue Xu China
Prabhakaran Vasudevan United States
Sita Kugel United States
Giovanna Sociali Italy
Theresa Gorski Germany
Karin Rothgiesser Switzerland
Peter Saiu United Kingdom
Graeme J. Gowans United Kingdom
Christopher Kamel relative to Ron McCord United States Ron McCord's profile →
Citations per field
00.5×2.7×
Ron McCord · 1×
Citations per year

Countries citing papers authored by Christopher Kamel

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Christopher Kamel, 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 Christopher Kamel Line = papers co-authored together Christopher Kamel links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Mammalian SIRT1 Represses Forkhead Transcription Factors
Hit paper breakdown →
20041152
2 200650
3
Preoperative Skin Antiseptic Preparations and Application Techniques for Preventing Surgical Site Infections: A Systematic Review of the Clinical Evidence and Guidelines
201117
4
[Classification of surgical wounds].
19951

About Christopher Kamel

Christopher Kamel is a scholar working on Geriatrics and Gerontology, Surgery, Molecular Biology, Dermatology and Physiology, having authored 4 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (2 papers), Adipose Tissue and Metabolism (1 paper), Surgical site infection prevention (1 paper), MicroRNA in disease regulation (1 paper), FOXO transcription factor regulation (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Surgical Sutures and Adhesives (1 paper) and Chemotherapy-related skin toxicity (1 paper). The work is most often cited by research in Geriatrics and Gerontology (718 citations), Aging (197 citations), Physiology (126 citations), Physiology (383 citations) and Epidemiology (286 citations). Christopher Kamel has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Michael W. McBurney, Leonard Guarente, Madeleine E. Lemieux, Nullin Divecha, Wei Gu, Yvette Bultsma, Maria Carla Motta, Delin Chen, Karen Jardine and Xiaohong He. Their work appears in journals such as Aging Cell, Cell and PubMed.

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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