T. Lindsay

479 total citations
8 papers, 348 citations indexed

About

T. Lindsay is a scholar working on Physiology, Neurology and Anesthesiology and Pain Medicine. According to data from OpenAlex, T. Lindsay has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Neurology and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in T. Lindsay's work include Pain Mechanisms and Treatments (4 papers), Pain Management and Opioid Use (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). T. Lindsay is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Pain Management and Opioid Use (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). T. Lindsay collaborates with scholars based in United States and Spain. T. Lindsay's co-authors include Matthew Snyder, Brian V Reamy, P. Michele Williams, Christopher M. Herndon, Sarah R. Lowe and Ellen C. Keeley and has published in prestigious journals such as EXPLORE, Journal of Opioid Management and Critical Pathways in Cardiology A Journal of Evidence-Based Medicine.

In The Last Decade

T. Lindsay

8 papers receiving 333 citations

Peers

T. Lindsay
T. Lindsay
Citations per year, relative to T. Lindsay T. Lindsay (= 1×) peers Virginia Garrote

Countries citing papers authored by T. Lindsay

Since Specialization
Citations

This map shows the geographic impact of T. Lindsay'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 T. Lindsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lindsay more than expected).

Fields of papers citing papers by T. Lindsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Lindsay

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

All Works

8 of 8 papers shown
1.
Lowe, Sarah R., et al.. (2020). Effect of Medication Adherence and Early Follow-Up on Unplanned Readmission Post-Myocardial Infarction: Quality Improvement in a Safety Net Hospital. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 20(2). 71–74. 5 indexed citations
2.
Snyder, Matthew, et al.. (2016). Treating Painful Diabetic Peripheral Neuropathy: An Update.. PubMed. 94(3). 227–34. 95 indexed citations
3.
Lindsay, T., et al.. (2015). Evaluation and treatment of infertility.. PubMed. 91(5). 308–14. 122 indexed citations
6.
Lindsay, T., et al.. (2012). Diabetic Neuropathic Pain: Real World Treatment Options. 4. 3 indexed citations
7.
Reamy, Brian V, P. Michele Williams, & T. Lindsay. (2011). Henoch-Schönlein Purpura. Elsevier eBooks. 67(3). 341–343. 52 indexed citations
8.
Lindsay, T., et al.. (2010). Treating diabetic peripheral neuropathic pain.. PubMed. 82(2). 151–8. 65 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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