Philip Lambert

12.1k citations
61 papers · 8.7k indexed · 3 hit papers · h-index 27

Philip Lambert

58 papers receiving 8.5k citations

Hit Papers

Specific SIRT1 Activation Mimics Low Energy Levels a...612199620262006201610002.0k3.0k

Peers

Philip Lambert
Comparison fields: 5 of 134
  • Geriatrics and Gerontology 2.7k
  • Endocrine and Autonomic Systems 2.2k
  • Aging 270
  • Physiology 3.8k
  • Physiology 362
Replace Jiandie D. Lin with:
Jiandie D. Lin United States
Olivier Boss United States
Zachary Gerhart‐Hines Denmark
Marcelo O. Dietrich United States
Rubén Nogueiras Spain
Shingo Kajimura United States
Carles Cantó Switzerland
Gregory J. Cooney Australia
Jan Nedergaard Sweden
Michele O. Carruba Italy
Philip Lambert relative to Jiandie D. Lin United States Jiandie D. Lin's profile →
Citations per field
00.5×1.5×2.5×
Jiandie D. Lin · 1×
Citations per year

Countries citing papers authored by Philip Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Philip Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2009101
2 2009168
3 200924
4 200923
5 200342
6 2000164
7 200048
8 199939
9 199829
10 199737
11 1997333
12 199617
13 1996111
14 199547
15 199552
16 199429
17 199414
18 199356
19 199323
20 199134

About Philip Lambert

Philip Lambert is a scholar working on Endocrine and Autonomic Systems, Geriatrics and Gerontology, Aquatic Science, Cellular and Molecular Neuroscience and Oceanography, having authored 61 papers that have together received 8.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Neuropeptides and Animal Physiology (13 papers), Echinoderm biology and ecology (9 papers), Biochemical effects in animals (7 papers), Sirtuins and Resveratrol in Medicine (7 papers), Adipose Tissue and Metabolism (7 papers), Receptor Mechanisms and Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Geriatrics and Gerontology (2.7k citations), Endocrine and Autonomic Systems (2.2k citations), Aging (270 citations), Physiology (3.8k citations) and Physiology (362 citations). Philip Lambert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter J. Elliott, Jill C. Milne, Johan Auwerx, Marie Lagouge, Bernard Gény, Hamid Méziane, Carles Lerín, Pere Puigserver, Markku Laakso and Carmen Argmann. Their work appears in journals such as Canadian Journal of Zoology, Brain Research, Journal of Neuroendocrinology, The Journal of Comparative Neurology and Cell Metabolism.

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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