David Tong

95 papers receiving 6.3k citations

David Tong's Hit Papers

Infective Endocarditis 2005 · 1.3k citations
1.3k0+7+14Years since publication4008001.2k

Peers

David Tong
Comparison fields: 5 of 129
  • Epidemiology 2.9k
  • Clinical Biochemistry 379
  • Neurology 795
  • Cancer Research 762
  • Developmental Neuroscience 181
Replace Karin Weißenborn with:
Karin Weißenborn Germany
Bernhard Maisch Germany
Gianfranco Sinagra Italy
Christopher C. Silliman United States
Kent Doi Japan
Kentaro Tanaka Japan
Akira Matsumori Japan
Katsuhiko Yanaga Japan
Chaim Putterman United States
Valerio Di Carlo Italy
David Tong relative to Karin Weißenborn Germany Karin Weißenborn's profile →
Citations per field
00.5×2×4×6×7.8×
Karin Weißenborn · 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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Infective Endocarditis
Hit paper breakdown →
20051308
2 1998397
3 2005380
4 1999355
5
Evolution of apparent diffusion coefficient, diffusion-weighted, and T2-weighted signal intensity of acute stroke.
2001243
6 1992238
7 1999170
8 2021169
9 1999148
10 1996141
11 2012136
12 2011132
13 2003129
14 2004117
15 2005108
16 2006107
17 1980106
18 2005105
19 2001104
20 200898

About David Tong

David Tong is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Cancer Research and Oncology, having authored 101 papers that have together received 6.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (29 papers), Breast Cancer Treatment Studies (13 papers), Cerebrovascular and Carotid Artery Diseases (11 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 (2.9k citations), Clinical Biochemistry (379 citations), Neurology (795 citations), Cancer Research (762 citations) and Developmental Neuroscience (181 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, Journal of Stroke and Cerebrovascular Diseases and American Journal of Neuroradiology.

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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