Daniel C. Broom

1.7k citations
18 papers · 1.4k indexed · h-index 15

Daniel C. Broom

18 papers receiving 1.4k citations

Peers

Daniel C. Broom
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 676
  • Sensory Systems 168
  • Physiology 804
  • Physiology 68
  • Behavioral Neuroscience 52
Replace Juan Carlos G. Marvizón with:
Juan Carlos G. Marvizón United States
Jing‐Xia Hao Sweden
Hsiang-En Wu United States
K. O. Aley United States
Juan F. Herrero Spain
Ceng Luo China
Alla Khodorova United States
Ana Baamonde Spain
Seifollah Ahmadi Germany
Marc R. Suter Switzerland
Daniel C. Broom relative to Juan Carlos G. Marvizón United States Juan Carlos G. Marvizón's profile →
Citations per field
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Juan Carlos G. Marvizón · 1×
Citations per year

Countries citing papers authored by Daniel C. Broom

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Broom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Broom. 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 Daniel C. Broom. The network helps show where Daniel C. Broom may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201516
2 201519
3 201017
4 200954
5 200867
6 200813
7 20089
8 200790
9 2006267
10 200687
11 2005319
12 2005129
13 200485
14 200273
15 200246
16 200282
17 20004
18
BU48: a novel buprenorphine analog that exhibits delta-opioid-mediated convulsions but not delta-opioid-mediated antinociception in mice.
200014

About Daniel C. Broom

Daniel C. Broom is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Neuropeptides and Animal Physiology (9 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Ion Channels and Receptors (3 papers), Stress Responses and Cortisol (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pediatric Pain Management Techniques (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (676 citations), Sensory Systems (168 citations) and Physiology (804 citations). Daniel C. Broom has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Clifford J. Woolf, Daniel N. Cortright, Tatsuro Kohno, Andrew Allchorne, John R. Traynor, James E. Krause, Kenner C. Rice, Isabelle Décosterd, Joachim Scholz and Charles D. Mills. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pain, Neuroscience, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Bioorganic & Medicinal Chemistry Letters.

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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