Timothy R. Smith

297 papers receiving 6.5k citations

Peers

Timothy R. Smith
Comparison fields: 5 of 172
  • Health Informatics 291
  • Genetics 1.1k
  • Internal Medicine 350
  • Neurology 1.2k
  • Endocrinology, Diabetes and Metabolism 931
Replace Donat R. Spahn with:
Donat R. Spahn Switzerland
David J. Coté United States
William B. Gormley United States
Gilbert R. Upchurch United States
William J. Mack United States
Madhu Mazumdar United States
Robyn L. McClelland United States
J Mocco United States
Massimo Midiri Italy
Edward J. Mascha United States
Timothy R. Smith relative to Donat R. Spahn Switzerland Donat R. Spahn's profile →
Citations per field
00.5×5.4×
Donat R. Spahn · 1×
Citations per year

Countries citing papers authored by Timothy R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Timothy R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy R. Smith. 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 Timothy R. Smith. The network helps show where Timothy R. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 310 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017322
2 2017181
3 2019169
4 2015135
5 2012127
6 2016117
7 2017109
8 201499
9 201696
10 201989
11 201888
12 201384
13 201984
14 201581
15 201978
16 202075
17 202070
18 201768
19 201467
20 201861

About Timothy R. Smith

Timothy R. Smith is a scholar working on Surgery, Epidemiology, Neurology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 310 papers that have together received 6.6k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (63 papers), Glioma Diagnosis and Treatment (62 papers), Pituitary Gland Disorders and Treatments (56 papers), Brain Metastases and Treatment (31 papers), Traumatic Brain Injury and Neurovascular Disturbances (25 papers), Head and Neck Surgical Oncology (24 papers), Spine and Intervertebral Disc Pathology (24 papers) and Spinal Fractures and Fixation Techniques (20 papers). The work is most often cited by research in Health Informatics (291 citations), Genetics (1.1k citations), Internal Medicine (350 citations), Neurology (1.2k citations) and Endocrinology, Diabetes and Metabolism (931 citations). Timothy R. Smith has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include David J. Coté, Marike L. D. Broekman, William B. Gormley, Aditya V. Karhade, Joeky T. Senders, Rania A. Mekary, Hormuzdiyar H. Dasenbrock, Omar Arnaout, Ivo S. Muskens and Edward R. Laws. Their work appears in journals such as World Neurosurgery, Neurosurgery, Journal of neurosurgery, Acta Neurochirurgica and Journal of Neuro-Oncology.

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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