Brian Lord

65 papers receiving 2.7k citations

Peers

Brian Lord
Comparison fields: 5 of 101
  • Physiology 545
  • Biological Psychiatry 224
  • Endocrine and Autonomic Systems 507
  • Sensory Systems 273
  • Cellular and Molecular Neuroscience 661
Replace Leah Aluisio with:
Leah Aluisio United States
Estefanía Moreno Spain
Maria Beatrice Passani Italy
Zuzana Justinová United States
Xavier Langlois Belgium
Soumen Paul United States
Neil Upton United Kingdom
Valérie Audinot France
J. Schwartz France
Ernesto Fedele Italy
Brian Lord relative to Leah Aluisio United States Leah Aluisio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Lord

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2013168
3 2004150
4 2007148
5 2016132
6 2004128
7 2006121
8 201583
9 201675
10 201574
11 201273
12 201767
13 201466
14 201866
15 201761
16 201656
17 201655
18 200950
19 201549
20 200947

About Brian Lord

Brian Lord is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Immunology and Cognitive Neuroscience, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Mast cells and histamine (16 papers), Adenosine and Purinergic Signaling (15 papers), Neuroscience and Neuropharmacology Research (12 papers), Sleep and Wakefulness Research (11 papers), Phenothiazines and Benzothiazines Synthesis and Activities (9 papers), Circadian rhythm and melatonin (8 papers) and Sleep and related disorders (7 papers). The work is most often cited by research in Physiology (545 citations), Biological Psychiatry (224 citations), Endocrine and Autonomic Systems (507 citations), Sensory Systems (273 citations) and Cellular and Molecular Neuroscience (661 citations). Brian Lord has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Timothy W. Lovenberg, Pascal Bonaventure, Nicholas I. Carruthers, Leah Aluisio, Michael A. Letavic, Christine Dugovic, Ian Fraser, Anindya Bhattacharya, Jonathan Shelton and Jamin D. Boggs. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry and European Journal of Pharmacology.

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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