Howard L. Fields

40.8k citations
250 papers · 30.9k indexed · 11 hit papers · h-index 92

Howard L. Fields

247 papers receiving 29.9k citations

Hit Papers

Corticostriatal function...790197820261994201050010001.5k2.0k

Peers

Howard L. Fields
Comparison fields: 5 of 162
  • Cellular and Molecular Neuroscience 15.5k
  • Physiology 17.0k
  • Cognitive Neuroscience 9.3k
  • Behavioral Neuroscience 1.4k
  • Anesthesiology and Pain Medicine 2.1k
Replace Ronald Dubner with:
Ronald Dubner United States
William D. Willis United States
Min Zhuo Canada
Patrick D. Wall United Kingdom
Marshall Devor Israel
Huda Akil United States
Clifford B. Saper United States
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David Borsook United States
Michel Le Moal France
Howard L. Fields relative to Ronald Dubner United States Ronald Dubner's profile →
Citations per field
00.5×1.5×2.4×
Ronald Dubner · 1×
Citations per year

Countries citing papers authored by Howard L. Fields

Since Specialization
Citations

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

Fields of papers citing papers by Howard L. Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard L. 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 Howard L. Fields. The network helps show where Howard L. Fields may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 202053
3 201627
4 2015156
5 20139
6 201383
7 201266
8 2011151
9 200872
10 2006263
11 200581
12 200560
13
The Massachusetts General Hospital handbook of pain management
200235
14 200039
15 1998108
16 19971
17 19943
18
Acute pain management in adults: Operative procedures, Quick Reference Guide for clinicians
199320
19 198950
20 1978193

About Howard L. Fields

Howard L. Fields is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 250 papers that have together received 30.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (142 papers), Neuropeptides and Animal Physiology (76 papers), Neurotransmitter Receptor Influence on Behavior (58 papers), Pain Management and Placebo Effect (51 papers), Receptor Mechanisms and Signaling (49 papers), Neuroscience and Neuropharmacology Research (40 papers), Anesthesia and Pain Management (22 papers) and Botulinum Toxin and Related Neurological Disorders (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (15.5k citations), Physiology (17.0k citations) and Cognitive Neuroscience (9.3k citations). Howard L. Fields has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Allan I. Basbaum, Elyssa B. Margolis, Mary M. Heinricher, Gregory O. Hjelmstad, Michael C. Rowbotham, Saleem M. Nicola, Charles H. Clanton, Jennifer Mitchell, Jon D. Levine and Joshua P. Johansen. Their work appears in journals such as Pain, Brain Research, Journal of Neuroscience, Journal of Neurophysiology 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.

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