Mark J. Field

4.4k citations
52 papers · 3.7k · h-index 30

Impact in

Papers in

Mark J. Field

51 papers receiving 3.5k citations

Peers

Mark J. Field
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 1.3k
  • Physiology 1.7k
  • Behavioral Neuroscience 148
  • Anesthesiology and Pain Medicine 204
  • Pharmacology 447
Replace Catherine M. Cahill with:
Catherine M. Cahill Canada
Jeffry L. Vaught United States
Tatsuo Yamamoto Japan
Claes Post Sweden
Florence Noble France
Halina Machelska Germany
S. Spector United States
Patrizia Romualdi Italy
Raymond M. Quock United States
F. Cesselin France
Mark J. Field relative to Catherine M. Cahill Canada Catherine M. Cahill's profile →
Citations per field
00.5×1.5×
Catherine M. Cahill · 1×
Citations per year

Countries citing papers authored by Mark J. Field

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006476
2 1997295
3 1999267
4 1997223
5 1996208
6 1991194
7 2004192
8 2005187
9 1999180
10 1991130
11 2000101
12 200192
13 198779
14 199877
15 198968
16 200163
17 200761
18 200055
19 199751
20 200742

About Mark J. Field

Mark J. Field is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Cognitive Neuroscience, having authored 52 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (29 papers), Neuropeptides and Animal Physiology (16 papers), Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (11 papers), Ion channel regulation and function (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Physiology (1.7k citations), Behavioral Neuroscience (148 citations), Anesthesiology and Pain Medicine (204 citations) and Pharmacology (447 citations). Mark J. Field has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Lakhbir Singh, John Hughes, Scott McCleary, Ryszard J. Oles, L. Singh, Steve Bramwell, Siân Lewis, Joel W. Hughes, G.N. Woodruff and N.M.J. Rupniak. Their work appears in journals such as British Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry and European Journal of Pharmacology.

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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