L. David McKay

1.7k citations
9 papers · 1.3k indexed · 1 hit paper · h-index 7

L. David McKay

9 papers receiving 1.3k citations

Hit Papers

Chronic intracerebroventricular infusion of insulin reduc...8441979202619942010250500750

Peers

L. David McKay
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 874
  • Physiology 583
  • Nutrition and Dietetics 317
  • Cellular and Molecular Neuroscience 346
  • Endocrinology, Diabetes and Metabolism 185
Replace Elizabeth C. Lotter with:
Elizabeth C. Lotter United States
Jaw Kang Chang United States
M W Schwartz United States
C. Jerome United States
Mary M. Hagan United States
Dana Boey Australia
F. Rohner‐Jeanrenaud Switzerland
Jesline T. Alexander United States
Yoshihiko Fukue Japan
Danielle Lauzon United States
L. David McKay relative to Elizabeth C. Lotter United States Elizabeth C. Lotter's profile →
Citations per field
00.5×1.7×
Elizabeth C. Lotter · 1×
Citations per year

Countries citing papers authored by L. David McKay

Since Specialization
Citations

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

Fields of papers citing papers by L. David McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. David McKay. 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 L. David McKay. The network helps show where L. David McKay may publish in the future.

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 20243
2 20235
3 1984113
4 1981121
5 1981140
6 198019
7 198030
8
Chronic intracerebroventricular infusion of insulin reduces food intake and body weight of baboonsbreakdown →
1979844
9 197836

About L. David McKay

L. David McKay is a scholar working on Endocrine and Autonomic Systems, Neurology and Physiology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Diet and metabolism studies (3 papers), Adipose Tissue and Metabolism (3 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Barrier Structure and Function Studies (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (874 citations), Physiology (583 citations) and Nutrition and Dietetics (317 citations). L. David McKay has collaborated with scholars based in United States and Australia. Frequent co-authors include Stephen C. Woods, Elizabeth C. Lotter, Daniel Porte, D. Porte, Nancy J. Kenney, Neilé K. Edens, L. J. Stein, Robert H. Williams, Leslie J. Stein and David B. West. Their work appears in journals such as Nature, Science and Diabetologia.

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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