J H Woods
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Physiology top 2%
- Pharmacology top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Gail WingerCharles P. FranceFedor MedzihradskyWouter KoekEduardo R. ButelmanSeymore HerlingDebra E. GmerekAlice M. Young
- Topics
- Neuropeptides and Animal Physiology (49 papers)Receptor Mechanisms and Signaling (41 papers)Pharmacological Receptor Mechanisms and Effects (35 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
J H Woods
127 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 121
- Cellular and Molecular Neuroscience 3.9k
- Molecular Biology 2.6k
- Physiology 1.1k
- Pharmacology 420
- Cognitive Neuroscience 349
Countries citing papers authored by J H Woods
This map shows the geographic impact of J H Woods'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 H Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J H Woods more than expected).
Fields of papers citing papers by J H Woods
This network shows the impact of papers produced by J H Woods. 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 H Woods. The network helps show where J H Woods may publish in the future.
Co-authorship network of co-authors of J H Woods
This figure shows the co-authorship network connecting the top 25 collaborators of J H Woods. A scholar is included among the top collaborators of J H Woods 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 J H Woods. J H Woods is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 59 | |
| 3 | 52 | |
| 4 | 24 | |
| 5 | 37 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 167 | |
| 9 | 54 | |
| 10 | 23 | |
| 11 | 25 | |
| 12 | 44 | |
| 13 | 20 | |
| 14 | 43 | |
| 15 | Mu and kappa receptor-mediated opioid discriminative effects in rhesus monkeys: pA2 analysis | 2 |
| 16 | Ketamine-like discriminative effects of some opioids in Rhesus monkeys | 3 |
| 17 | Ketamine-like discriminative stimulus effects of stereoisomeric pairs of opioids in pigeons | 2 |
| 18 | 50 | |
| 19 | Rate dependent effects of drugs on food and cocaine reinforced lever press responding in rhesus monkeys | 2 |
| 20 | Effects of morphine, pentazocine, and naloxone on operant responding in monkeys and pigeons | 1 |
About J H Woods
J H Woods is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology and Behavioral Neuroscience, having authored 128 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (49 papers), Receptor Mechanisms and Signaling (41 papers) and Pharmacological Receptor Mechanisms and Effects (35 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.9k citations), Behavioral Neuroscience (272 citations) and Toxicology (257 citations). J H Woods has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gail Winger, Charles P. France, Fedor Medzihradsky, Wouter Koek, Eduardo R. Butelman, Seymore Herling, Debra E. Gmerek, Alice M. Young, L A Dykstra and Mei‐Chuan Ko. Their work appears in journals such as Brain Research, Neuroscience and Journal of Medicinal Chemistry.
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.