Brian Lord

64 papers receiving 2.5k citations

Peers

Brian Lord
Comparison fields: 5 of 101
  • Physiology 536
  • Biological Psychiatry 234
  • Endocrine and Autonomic Systems 540
  • Sensory Systems 291
  • Cellular and Molecular Neuroscience 612
Replace Leah Aluisio with:
Leah Aluisio United States
Estefanía Moreno Spain
Maria Beatrice Passani Italy
Zuzana Justinová United States
Malika El Yacoubi France
Xavier Langlois Belgium
Nika Adham United States
Soumen Paul United States
Takako Ohno‐Shosaku Japan
J. Schwartz France
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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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009186
2 2013159
3 2004144
4 2007139
5 2016131
6 2004123
7 2006112
8 201574
9 201674
10 201571
11 201465
12 201765
13 201861
14 201760
15 201655
16 201654
17 200948
18 201545
19 200944
20 201142

About Brian Lord

Brian Lord is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Immunology and Cognitive Neuroscience, having authored 65 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Mast cells and histamine (16 papers), Adenosine and Purinergic Signaling (15 papers), Neuroscience and Neuropharmacology Research (12 papers), Sleep and Wakefulness Research (10 papers), Phenothiazines and Benzothiazines Synthesis and Activities (9 papers), Olfactory and Sensory Function Studies (7 papers) and Circadian rhythm and melatonin (7 papers). The work is most often cited by research in Physiology (536 citations), Biological Psychiatry (234 citations), Endocrine and Autonomic Systems (540 citations), Sensory Systems (291 citations) and Cellular and Molecular Neuroscience (612 citations). Brian Lord has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Timothy W. Lovenberg, Nicholas I. Carruthers, Pascal Bonaventure, Leah Aluisio, Michael A. Letavic, Christine Dugovic, Ian Fraser, Anindya Bhattacharya, Jamin D. Boggs and Curt Mazur. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, 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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