Loren Lindsley

1.9k citations
5 papers · 1.5k indexed · 1 hit paper · h-index 5

Loren Lindsley

5 papers receiving 1.5k citations

Hit Papers

Insulin-degrading enzyme regulates the levels of insulin,...200320262010201820032505007501000

Peers

Loren Lindsley
Comparison fields: 5 of 94
  • Physiology 998
  • Molecular Biology 550
  • Neurology 218
  • Cellular and Molecular Neuroscience 214
  • Pharmacology 189
Replace Yang Chang with:
Yang Chang United States
E. Matsubara Japan
Benjamin M. Terry United States
Dana M. Niedowicz United States
Emanuel Candeias Portugal
Milène Vandal Canada
Violette Koziel France
Eugene Hone Australia
Byeong Tak Jeon South Korea
Kana Tsukuda Japan
Loren Lindsley relative to Yang Chang United States Yang Chang's profile →
Citations per field
00.5×1.5×
Yang Chang · 1×
Citations per year

Countries citing papers authored by Loren Lindsley

Since Specialization
Citations

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

Fields of papers citing papers by Loren Lindsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loren Lindsley

This figure shows the co-authorship network connecting the top 25 collaborators of Loren Lindsley. A scholar is included among the top collaborators of Loren Lindsley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Loren Lindsley. Loren Lindsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 18
2 151
3 59
4
Insulin-degrading enzyme regulates the levels of insulin, amyloid β-protein, and the β-amyloid precursor protein intracellular domain in vivobreakdown →
1191
5 64

About Loren Lindsley

Loren Lindsley is a scholar working on Physiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 5 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Adipose Tissue and Metabolism (2 papers) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Physiology (998 citations), Neurology (218 citations) and Biological Psychiatry (51 citations). Loren Lindsley has collaborated with scholars based in United States and China. Frequent co-authors include Elizabeth A. Eckman, Rudolph E. Tanzi, Yang Chang, Suzanne Y. Guénette, Christopher B. Eckman, Wesley Farris, Dennis J. Selkoe, Matthew P. Frosch, Shamina M. Rangwala and Xiaomei Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

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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