Torin D. Shear

1.2k citations
36 papers · 922 · h-index 15

Impact in

Papers in

Torin D. Shear

35 papers receiving 888 citations

Peers

Torin D. Shear
Comparison fields: 5 of 40
  • Anesthesiology and Pain Medicine 270
  • Surgery 285
  • Emergency Medical Services 24
  • Critical Care and Intensive Care Medicine 6
  • Radiology, Nuclear Medicine and Imaging 31
Replace I‐Cheng Lu with:
I‐Cheng Lu Taiwan
Preben G. Berthelsen Denmark
James D. Kindscher United States
David Roy Uncles United Kingdom
Kristina Hambraeus-Jonzon Sweden
Brian A. Hall United States
Hyungseok Seo South Korea
Julie Golembiewski United States
Melville Q. Wyche United States
Óscar Díaz‐Cambronero Spain
Torin D. Shear relative to I‐Cheng Lu Taiwan I‐Cheng Lu's profile →
Citations per field
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I‐Cheng Lu · 1×
Citations per year

Countries citing papers authored by Torin D. Shear

Since Specialization
Citations

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

Fields of papers citing papers by Torin D. Shear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torin D. Shear. 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 Torin D. Shear. The network helps show where Torin D. Shear may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2015104
3 2017101
4 201599
5 201972
6 201548
7 201345
8 201845
9 201436
10 200333
11 201730
12 201626
13 201324
14 201722
15 200919
16 200513
17 201313
18 201812
19 200410
20 201510

About Torin D. Shear

Torin D. Shear is a scholar working on Anesthesiology and Pain Medicine, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services, Surgery and Developmental Neuroscience, having authored 36 papers that have together received 922 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (6 papers), Anesthesia and Pain Management (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Patient Safety and Medication Errors (2 papers), Electronic Health Records Systems (1 paper), Anesthesia and Neurotoxicity Research (1 paper), Cardiovascular Issues in Pregnancy (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (270 citations), Surgery (285 citations), Emergency Medical Services (24 citations), Critical Care and Intensive Care Medicine (6 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Torin D. Shear has collaborated with scholars based in United States. Frequent co-authors include Glenn S. Murphy, Joseph W. Szokol, Michael J. Avram, Steven B. Greenberg, Jeffery S. Vender, Mark A. Deshur, Jessica Benson, Elizabeth Landry, Shivani S. Patel and Jayla Gray. Their work appears in journals such as Anesthesiology, Anesthesia & Analgesia, Journal of Cardiothoracic and Vascular Anesthesia, Journal of Medical Systems and Pediatric Anesthesia.

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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