Stephen E. Abram

122 papers receiving 2.9k citations

Peers

Stephen E. Abram
Comparison fields: 5 of 115
  • Anesthesiology and Pain Medicine 677
  • Physiology 1.1k
  • Pathology and Forensic Medicine 571
  • Pharmacology 469
  • Surgery 964
Replace Gérard Mick with:
Gérard Mick France
Inna Belfer United States
Christine N. Sang United States
Oliver H.G. Wilder‐Smith Netherlands
Jun Sato Japan
Bernard Laurent France
Kenneth A. Follett United States
Dominique Valade France
M. Gautron France
H. Alchaar France
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Citations per year

Countries citing papers authored by Stephen E. Abram

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Abram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Abram. 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 Stephen E. Abram. The network helps show where Stephen E. Abram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008227
2 2001159
3 1997137
4 1994133
5 2006121
6 1991109
7 1996108
8 1994107
9 1993102
10 199478
11 199577
12 198069
13 199963
14 199558
15 200057
16 200451
17 199348
18
Failure of naloxone to reverse analgesia from transcutaneous electrical stimulation in patients with chronic pain.
198148
19 198348
20 200547

About Stephen E. Abram

Stephen E. Abram is a scholar working on Surgery, Physiology, Pathology and Forensic Medicine, Anesthesiology and Pain Medicine and Pharmacology, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (38 papers), Anesthesia and Pain Management (33 papers), Spine and Intervertebral Disc Pathology (27 papers), Musculoskeletal pain and rehabilitation (24 papers), Pain Management and Opioid Use (18 papers), Pain Management and Treatment (10 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Cancer Treatment and Pharmacology (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (677 citations), Physiology (1.1k citations), Pathology and Forensic Medicine (571 citations), Pharmacology (469 citations) and Surgery (964 citations). Stephen E. Abram has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Tony L. Yaksh, Quinn H. Hogan, Margaret Hopwood, J. David Haddox, Igor Kissin, Cheryl L. Stucky, Martin Maršala, Geza Gemes, Robert P. Anderson and Andreas Fuchs. Their work appears in journals such as Anesthesiology, Anesthesia & Analgesia, Regional Anesthesia & Pain Medicine, Pain and Canadian Journal of Anesthesia/Journal canadien d anesthésie.

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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