L.W. Haynes
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Physiology
- Pharmacology
- Co-authors
- S. ZakarianRoy O. WellerMichael J. PerryD.G. SmythMarc G. WilkinsonG.A. KerkutJ. HamMargaret E. Smith
- Topics
- Neuropeptides and Animal Physiology (6 papers)Neural dynamics and brain function (5 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
L.W. Haynes
35 papers receiving 376 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 182
- Molecular Biology 113
- Pulmonary and Respiratory Medicine 81
- Physiology 66
- Pharmacology 33
Countries citing papers authored by L.W. Haynes
This map shows the geographic impact of L.W. Haynes'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 L.W. Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.W. Haynes more than expected).
Fields of papers citing papers by L.W. Haynes
This network shows the impact of papers produced by L.W. Haynes. 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 L.W. Haynes. The network helps show where L.W. Haynes may publish in the future.
Co-authorship network of co-authors of L.W. Haynes
This figure shows the co-authorship network connecting the top 25 collaborators of L.W. Haynes. A scholar is included among the top collaborators of L.W. Haynes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L.W. Haynes. L.W. Haynes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | The neuron in tissue culture | 52 |
| 7 | 53 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | Induction of some features of glial differentiation in primary cultures of human gliomas by treatment with dibutyrl cyclic AMP. | 18 |
| 19 | 1 | |
| 20 | 1 |
About L.W. Haynes
L.W. Haynes is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 38 papers that have together received 387 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Neural dynamics and brain function (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (182 citations), Developmental Neuroscience (27 citations) and Endocrine and Autonomic Systems (29 citations). L.W. Haynes has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include S. Zakarian, Roy O. Weller, Michael J. Perry, D.G. Smyth, Marc G. Wilkinson, G.A. Kerkut, J. Ham, Margaret E. Smith, J. Mitchell and Dongxiao Liu. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and 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.