Audrey Long

1.4k total citations
11 papers, 583 citations indexed

About

Audrey Long is a scholar working on Pharmacology, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Audrey Long has authored 11 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Pathology and Forensic Medicine and 2 papers in Cognitive Neuroscience. Recurrent topics in Audrey Long's work include Musculoskeletal pain and rehabilitation (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Audrey Long is often cited by papers focused on Musculoskeletal pain and rehabilitation (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Audrey Long collaborates with scholars based in United States, Canada and United Kingdom. Audrey Long's co-authors include Tak Fung, Stephen May, Keith S. Dobson, May Chun Mei Wong, David J. A. Dozois, Ronald Donelson, Daniel Choi, Kevin F. Spratt and Joel Coffman and has published in prestigious journals such as Pain, Spine and The Spine Journal.

In The Last Decade

Audrey Long

10 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Audrey Long United States	6	535	290	120	114	102	11	583
Tom Petersen Denmark	10	476 0.9×	261 0.9×	105 0.9×	126 1.1×	109 1.1×	12	574
Inge Ris Denmark	14	557 1.0×	233 0.8×	140 1.2×	158 1.4×	129 1.3×	27	692
U. Rytökoski Finland	10	524 1.0×	324 1.1×	111 0.9×	116 1.0×	143 1.4×	15	629
Helen Clare Australia	11	584 1.1×	305 1.1×	122 1.0×	195 1.7×	96 0.9×	18	633
Alfred V. Anderson United States	10	420 0.8×	247 0.9×	96 0.8×	126 1.1×	152 1.5×	10	566
Petra Saur Germany	5	473 0.9×	236 0.8×	136 1.1×	60 0.5×	138 1.4×	14	570
Wim Jorritsma Netherlands	10	386 0.7×	144 0.5×	119 1.0×	64 0.6×	119 1.2×	13	492
Kenneth Learman United States	14	352 0.7×	160 0.6×	116 1.0×	118 1.0×	51 0.5×	31	511
Eva Thomas United States	9	492 0.9×	169 0.6×	156 1.3×	47 0.4×	163 1.6×	13	743
Greg McIntosh Canada	8	374 0.7×	189 0.7×	61 0.5×	61 0.5×	74 0.7×	16	422

Countries citing papers authored by Audrey Long

Since Specialization

Citations

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

Fields of papers citing papers by Audrey Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Audrey Long. 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 Audrey Long. The network helps show where Audrey Long may publish in the future.

Co-authorship network of co-authors of Audrey Long

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Long. A scholar is included among the top collaborators of Audrey Long 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 Audrey Long. Audrey Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Long, Audrey, Daniel Choi, & Joel Coffman. (2022). Using Amazon Managed Blockchain for ePHI An Analysis of Hyperledger Fabric and Ethereum. 8. 276–282. 2 indexed citations

2.

Long, Audrey, et al.. (2016). Abnormal labour. Obstetrics Gynaecology & Reproductive Medicine. 26(3). 85–88. 1 indexed citations

3.

Donelson, Ronald, Audrey Long, Kevin F. Spratt, & Tak Fung. (2012). Influence of Directional Preference on Two Clinical Dichotomies: Acute Versus Chronic Pain and Axial Low Back Pain Versus Sciatica. PM&R. 4(9). 667–681. 3 indexed citations

4.

Long, Audrey, Stephen May, & Tak Fung. (2008). Specific Directional Exercises for Patients with Low Back Pain: A Case Series. Physiotherapy Canada. 60(4). 307–317. 27 indexed citations

5.

Long, Audrey, Stephen May, & Tak Fung. (2008). The Comparative Prognostic Value of Directional Preference and Centralization: A Useful Tool for Front-Line Clinicians?. Journal of Manual & Manipulative Therapy. 16(4). 248–254. 36 indexed citations

6.

Long, Audrey, Ronald Donelson, Tak Fung, & Kevin F. Spratt. (2007). 132. Are Acute, Chronic, Back Pain-Only, and Sciatica-with-Neural-Deficit Valid Low Back Pain Subgroups? Not for Most Patients. The Spine Journal. 7(5). 63S–64S. 2 indexed citations

7.

Long, Audrey, et al.. (2004). Does it Matter Which Exercise?. Spine. 29(23). 2593–2602. 329 indexed citations

8.

Long, Audrey, Ronald Donelson, & Tak Fung. (2004). 22. Does it matter which exercise? a multicentered RCT of low back pain subgroups. The Spine Journal. 4(5). S14–S14. 2 indexed citations

9.

Dozois, David J. A., et al.. (1996). Predictive utility of the CSQ in low back pain: individual vs. composite measures. Pain. 66(2). 171–180. 45 indexed citations

10.

Long, Audrey. (1995). The Centralization Phenomenon. Spine. 20(23). 2513–2520. 92 indexed citations

11.

Dozois, David J. A., et al.. (1995). Factors associated with rehabilitation outcome in patients with low back pain (LBP): Prediction of employment outcome at 9-month follow-up.. Rehabilitation Psychology. 40(4). 243–259. 44 indexed citations

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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