Jeremy Z. Fields
- Molecular Biology top 1%
- Oncology top 2%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Ali KeshavarzianBruce M. BomanAshkan FarhadiAli BananHenry I. YamamuraA. BananTerry ReisineSeema Bhatlekar
- Topics
- Receptor Mechanisms and Signaling (18 papers)Cancer Cells and Metastasis (16 papers)Neuroscience and Neuropharmacology Research (16 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Jeremy Z. Fields
139 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 4.0k
- Oncology 1.6k
- Cellular and Molecular Neuroscience 1.1k
- Physiology 1.1k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Jeremy Z. Fields
This map shows the geographic impact of Jeremy Z. Fields'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 Jeremy Z. Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Z. Fields more than expected).
Fields of papers citing papers by Jeremy Z. Fields
This network shows the impact of papers produced by Jeremy Z. Fields. 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 Jeremy Z. Fields. The network helps show where Jeremy Z. Fields may publish in the future.
Co-authorship network of co-authors of Jeremy Z. Fields
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Z. Fields. A scholar is included among the top collaborators of Jeremy Z. Fields 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 Jeremy Z. Fields. Jeremy Z. Fields is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 32 | |
| 5 | 239 | |
| 6 | 54 | |
| 7 | 87 | |
| 8 | 12 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 302 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | Chronic ethanol (EtOH) feeding increases muscarinic receptor (mAChR) density in esophagus without parallel change in dose response (D-R) to cholinergic agonists | 1 |
| 16 | 9 | |
| 17 | MPTP-induced duodenal ulcers in rat. Prevention by reuptake blockers for serotonin and norepinephrine, but not dopamine. | 8 |
| 18 | 24 | |
| 19 | Biochemical demonstration of muscarinic cholinergic receptors in mammalian heart | 2 |
| 20 | Myocardial muscarinic cholinergic receptors | 1 |
About Jeremy Z. Fields
Jeremy Z. Fields is a scholar working on Gastroenterology, Cellular and Molecular Neuroscience and Cancer Research, having authored 143 papers that have together received 8.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Cancer Cells and Metastasis (16 papers) and Neuroscience and Neuropharmacology Research (16 papers). The work is most often cited by research in Gastroenterology (409 citations), Cancer Research (1.0k citations) and Neurology (524 citations). Jeremy Z. Fields has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Ali Keshavarzian, Bruce M. Boman, Ashkan Farhadi, Ali Banan, Henry I. Yamamura, A. Banan, Terry Reisine, Seema Bhatlekar, Christopher B. Forsyth and Maliha Shaikh. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological 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.