J. Hempstead

3.8k citations
26 papers · 3.2k indexed · 1 hit paper · h-index 21

J. Hempstead

26 papers receiving 3.2k citations

Hit Papers

Mapping Patterns of c- fos Expression in the Central Nerv...1.5k198720262000201350010001.5k

Peers

J. Hempstead
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 1.7k
  • Developmental Neuroscience 339
  • Sensory Systems 271
  • Behavioral Neuroscience 175
  • Endocrine and Autonomic Systems 270
Replace J.S. Kelly with:
J.S. Kelly United Kingdom
D J Reis United States
Shiro Konishi Japan
A. Léon Italy
Michel Pohl France
Tomás A. Reader Canada
Jane E. Haley United Kingdom
P.M. Headley United Kingdom
Wiel Honig Netherlands
Anders Nobin Sweden
J. Hempstead relative to J.S. Kelly United Kingdom J.S. Kelly's profile →
Citations per field
00.5×6.7×
J.S. Kelly · 1×
Citations per year

Countries citing papers authored by J. Hempstead

Since Specialization
Citations

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

Fields of papers citing papers by J. Hempstead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199124
2 199151
3 199037
4 1989302
5 198823
6 198870
7 19875
8 198722
9 198549
10 198341
11 198343
12 198247
13
Catecholamines in the vasculature of the rat and rabbit: dopamine, norepinephrine, epinephrine.
198211
14 1981149
15 198020
16 198013
17 197722
18 1976112
19 1975127
20 19727

About J. Hempstead

J. Hempstead is a scholar working on Sensory Systems, Developmental Neuroscience, Cell Biology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Olfactory and Sensory Function Studies (4 papers), Chemical Synthesis and Analysis (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Cellular transport and secretion (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Developmental Neuroscience (339 citations), Sensory Systems (271 citations), Behavioral Neuroscience (175 citations) and Endocrine and Autonomic Systems (270 citations). J. Hempstead has collaborated with scholars based in United States and Switzerland. Frequent co-authors include James P. Morgan, Tom Curran, Donna Cohén, Barry A. Berkowitz, S. H. Ngai, Jian Yang, S. Spector, June L. Sonnenberg, Cathy Mitchelmore and Sydney Spector. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Brain Research and Anesthesiology.

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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