Daniel C. Broom

1.7k citations
18 papers · 1.5k · h-index 15

Impact in

Papers in

Daniel C. Broom

18 papers receiving 1.4k citations

Peers

Daniel C. Broom
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 645
  • Sensory Systems 157
  • Physiology 763
  • Physiology 69
  • Behavioral Neuroscience 42
Replace Jing‐Xia Hao with:
Jing‐Xia Hao Sweden
Teresa Pélissier Chile
Renée R. Donahue United States
Hsiang-En Wu United States
Juan F. Herrero Spain
Enrique J. Cobos Spain
Ceng Luo China
Ana Baamonde Spain
Marc R. Suter Switzerland
Alla Khodorova United States
Daniel C. Broom relative to Jing‐Xia Hao Sweden Jing‐Xia Hao's profile →
Citations per field
00.5×2.9×
Jing‐Xia Hao · 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-authors

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 2005347
2 2006272
3 2005133
4 200794
5 200492
6 200691
7 200287
8 200278
9 200868
10 200957
11 200251
12 201520
13 201517
14 201017
15
BU48: a novel buprenorphine analog that exhibits delta-opioid-mediated convulsions but not delta-opioid-mediated antinociception in mice.
200015
16 200814
17 200810
18 20005

About Daniel C. Broom

Daniel C. Broom is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience and Sensory Systems, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (8 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Ion Channels and Receptors (2 papers), Receptor Mechanisms and Signaling (2 papers), Stress Responses and Cortisol (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (645 citations), Sensory Systems (157 citations), Physiology (763 citations), Physiology (69 citations) and Behavioral Neuroscience (42 citations). Daniel C. Broom has collaborated with scholars based in United States, Ireland and Netherlands. Frequent co-authors include Clifford J. Woolf, Daniel N. Cortright, Tatsuro Kohno, Andrew Allchorne, John R. Traynor, Kenner C. Rice, James E. Krause, Charles D. Mills, Joachim Scholz and Isabelle Décosterd. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pain, Bioorganic & Medicinal Chemistry Letters, Pain and Journal of Neuroscience.

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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