David Tong

93 papers receiving 6.0k citations

David Tong's Hit Papers

Infective Endocarditis 2005 · 1.2k citations
1.2k0+7+14Years since publication4008001.2k

Peers

David Tong
Comparison fields: 5 of 128
  • Epidemiology 2.7k
  • Clinical Biochemistry 343
  • Cancer Research 715
  • Neurology 677
  • Developmental Neuroscience 161
Replace Bernhard Maisch with:
Bernhard Maisch Germany
Christopher C. Silliman United States
Akira Matsumori Japan
Katsuhiko Yanaga Japan
Kentaro Tanaka Japan
James T. Robertson United States
Cecilia O’Kane United Kingdom
Barry Bresnihan Ireland
Vincenzo Arena Italy
Claúdia C. dos Santos Canada
David Tong relative to Bernhard Maisch Germany Bernhard Maisch's profile →
Citations per field
00.5×5.6×
Bernhard Maisch · 1×
Citations per year

Countries citing papers authored by David Tong

Since Specialization
Citations

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

Fields of papers citing papers by David Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Infective Endocarditis
Hit paper breakdown →
20051205
2 1998368
3 2005339
4 1999325
5 1992229
6
Evolution of apparent diffusion coefficient, diffusion-weighted, and T2-weighted signal intensity of acute stroke.
2001228
7 2021168
8 1999155
9 1999139
10 2012135
11 1996129
12 2011127
13 2003115
14 2004109
15 2005107
16 1980101
17 200699
18 200198
19 199190
20 200890

About David Tong

David Tong is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cancer Research, Cardiology and Cardiovascular Medicine and Oncology, having authored 98 papers that have together received 6.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (27 papers), Breast Cancer Treatment Studies (13 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Estrogen and related hormone effects (6 papers), Cardiac Imaging and Diagnostics (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Acute Myocardial Infarction Research (5 papers) and Inflammasome and immune disorders (4 papers). The work is most often cited by research in Epidemiology (2.7k citations), Clinical Biochemistry (343 citations), Cancer Research (715 citations), Neurology (677 citations) and Developmental Neuroscience (161 citations). David Tong has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gregory W. Albers, Michael E. Moseley, Michael P. Marks, Maarten G. Lansberg, Christian Beaulieu, Midori A. Yenari, Alexander Norbash, P. Winter, Michael W. O’Brien and R.D. Rubens. Their work appears in journals such as Stroke, Neurology, British journal of surgery, American Journal of Neuroradiology and Journal of Stroke and Cerebrovascular Diseases.

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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