Lawrence Toll

7.8k citations
148 papers · 6.2k indexed · 1 hit paper · h-index 40
Topics
Receptor Mechanisms and Signaling (97 papers)Neuropeptides and Animal Physiology (86 papers)Pharmacological Receptor Mechanisms and Effects (33 papers)
Partner nations
United StatesPolandItaly

In The Last Decade

Lawrence Toll

145 papers receiving 6.0k citations

Hit Papers

Isolation and structure of the endogenous agonist of opio...1995202620052015199550010001.5k

Peers

Lawrence Toll
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 4.5k
  • Molecular Biology 4.4k
  • Physiology 1.7k
  • Reproductive Medicine 456
  • Endocrine and Autonomic Systems 421
Replace Frédéric Simonin with:
Frédéric Simonin France
Pierre M. Laduron Belgium
Florence Noble France
Josée E. Leysen Belgium
R.G. Hill United Kingdom
Ivone Gomes United States
Aline Dumuis France
Graeme R. Martin United Kingdom
J.E. Leysen Belgium
Kwen‐Jen Chang United States
Lawrence Toll relative to Frédéric Simonin France Frédéric Simonin's profile →
Citations per field
00.5×1.5×2.1×
Frédéric Simonin · 1×
Citations per year

Countries citing papers authored by Lawrence Toll

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Toll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Toll

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Toll. A scholar is included among the top collaborators of Lawrence Toll 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 Lawrence Toll. Lawrence Toll 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 9
2 31
3 15
4 53
5 18
6 18
7 40
8 16
9 16
10 66
11 25
12 56
13 24
14 82
15 49
16 9
17 8
18 19
19 22
20 16

About Lawrence Toll

Lawrence Toll is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 148 papers that have together received 6.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (97 papers), Neuropeptides and Animal Physiology (86 papers) and Pharmacological Receptor Mechanisms and Effects (33 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.5k citations), Physiology (1.7k citations) and Molecular Biology (4.4k citations). Lawrence Toll has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Willma E. Polgar, Nurulain T. Zaveri, Bruce D. Howard, Taline V. Khroyan, Charles Suaudeau, Gilbert Vassart, Pascual Ferrara, Christiane Moisand, Marc Parmentier and Jean Costentin. 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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