John W. Haycock

16.6k citations
234 papers · 13.9k indexed · 1 hit paper · h-index 67

John W. Haycock

233 papers receiving 13.6k citations

Hit Papers

Striatal dopamine nerve terminal markers in human, chroni...6271996202620062016200400600

Peers

John W. Haycock
Comparison fields: 5 of 165
  • Cellular and Molecular Neuroscience 5.9k
  • Behavioral Neuroscience 441
  • Developmental Neuroscience 491
  • Biomaterials 1.5k
  • Biological Psychiatry 265
Replace Kwok‐Fai So with:
Kwok‐Fai So Hong Kong
Eva Syková Czechia
Zhong Chen China
Britta Engelhardt Switzerland
Melinda Fitzgerald United Kingdom
Josef Krieglstein Germany
Rhonda Bassel‐Duby United States
John A. Kessler United States
Gianluigi Forloni Italy
Feng Zhang China
John W. Haycock relative to Kwok‐Fai So Hong Kong Kwok‐Fai So's profile →
Citations per field
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Kwok‐Fai So · 1×
Citations per year

Countries citing papers authored by John W. Haycock

Since Specialization
Citations

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

Fields of papers citing papers by John W. Haycock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Haycock. 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 John W. Haycock. The network helps show where John W. Haycock may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202314
2 202136
3 202116
4 202116
5 202019
6 201965
7 201510
8 2015128
9 201515
10 2014171
11 201280
12 200511
13 200526
14 200459
15 200227
16 200239
17 198938
18 19883
19
Induction of tyrosine hydroxylase and dopamine beta-hydroxylase in cultured mouse neuroblastoma by 8Br-cAMP. Involvement of RNA and protein synthesis.
19796
20 19793

About John W. Haycock

John W. Haycock is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Biomaterials, having authored 234 papers that have together received 13.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (54 papers), Nerve injury and regeneration (30 papers), Receptor Mechanisms and Signaling (30 papers), Neurotransmitter Receptor Influence on Behavior (26 papers), Electrospun Nanofibers in Biomedical Applications (22 papers), melanin and skin pigmentation (18 papers), 3D Printing in Biomedical Research (16 papers) and Bone Tissue Engineering Materials (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.9k citations), Behavioral Neuroscience (441 citations) and Developmental Neuroscience (491 citations). John W. Haycock has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sheila MacNeil, Carl W. Cotman, Frederik Claeyssens, J. C. Waymire, Tao Sun, Paul Greengard, Stephen J. Kish, William F. Bennett, Stanley W. Botchway and Julia A. Weinstein. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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