Lloyd D. Fricker

11.5k citations
180 papers · 9.0k indexed · 1 hit paper · h-index 56
Topics
Neuropeptides and Animal Physiology (66 papers)Peptidase Inhibition and Analysis (58 papers)Receptor Mechanisms and Signaling (47 papers)
Partner nations
United StatesBrazilSpain

In The Last Decade

Lloyd D. Fricker

179 papers receiving 8.8k citations

Hit Papers

Hyperproinsulinaemia in obese fat/fat mice associated wit...19952026200520151995100200300400500

Peers

Lloyd D. Fricker
Comparison fields: 5 of 136
  • Molecular Biology 5.5k
  • Cellular and Molecular Neuroscience 2.9k
  • Oncology 2.0k
  • Cell Biology 1.9k
  • Endocrine and Autonomic Systems 985
Replace Heidi E. Hamm with:
Heidi E. Hamm United States
Robert Day Canada
Elliott M. Ross United States
Peter Gierschik Germany
Michael J. Comb United States
Edwin Milgröm France
Richard T. Premont United States
Vivian Hook United States
Larry S. Barak United States
James B. Hurley United States
Lloyd D. Fricker relative to Heidi E. Hamm United States Heidi E. Hamm's profile →
Citations per field
00.5×2.9×
Heidi E. Hamm · 1×
Citations per year

Countries citing papers authored by Lloyd D. Fricker

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd D. Fricker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lloyd D. Fricker. 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 Lloyd D. Fricker. The network helps show where Lloyd D. Fricker may publish in the future.

Co-authorship network of co-authors of Lloyd D. Fricker

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd D. Fricker. A scholar is included among the top collaborators of Lloyd D. Fricker 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 Lloyd D. Fricker. Lloyd D. Fricker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 13
3 20
4 95
5 1
6 6
7 34
8 112
9 60
10 54
11 13
12 87
13 19
14 26
15 62
16 7
17 58
18 47
19 77
20 130

About Lloyd D. Fricker

Lloyd D. Fricker is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 180 papers that have together received 9.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (66 papers), Peptidase Inhibition and Analysis (58 papers) and Receptor Mechanisms and Signaling (47 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Endocrine and Autonomic Systems (985 citations) and Cell Biology (1.9k citations). Lloyd D. Fricker has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Lakshmi A. Devi, Oleg Varlamov, Solomon H. Snyder, Lixin Song, Edward H. Leiter, Fa‐Yun Che, Fa‐Yun Che, S H Snyder, Donald F. Steiner and Sandra E. Reznik. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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