Alexander Tan

26 papers receiving 399 citations

Peers

Alexander Tan
Comparison fields: 5 of 82
  • Hepatology 42
  • Endocrinology, Diabetes and Metabolism 87
  • Psychiatry and Mental health 60
  • Epidemiology 120
  • Emergency Medicine 29
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Benjamin King United States
Barbara Goldsmith United States
F.J. Barbado Hernández Spain
Özgür Duman Türkiye
Ιωάννα Ντάλλα United Kingdom
P Schroth United States
S. M. Pueschel United States
W. Blaicher Austria
Maja Miloslavsky United States
Julie Carter United States
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Citations per field
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Citations per year

Countries citing papers authored by Alexander Tan

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200888
2 201881
3 201453
4 201925
5 201825
6 201818
7 202111
8 202011
9 202110
10 201710
11 201910
12 20238
13 20188
14 20217
15 20226
16 20155
17 20245
18 20235
19 20224
20 20184

About Alexander Tan

Alexander Tan is a scholar working on Epidemiology, Clinical Psychology, Social Psychology, Cognitive Neuroscience and Emergency Medicine, having authored 30 papers that have together received 408 indexed citations. Recurring topics across this work include Counseling Practices and Supervision (4 papers), Congenital Heart Disease Studies (4 papers), Educational and Psychological Assessments (3 papers), Traumatic Brain Injury Research (3 papers), Cardiac Arrest and Resuscitation (3 papers), Bone health and osteoporosis research (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Hepatology (42 citations), Endocrinology, Diabetes and Metabolism (87 citations), Psychiatry and Mental health (60 citations), Epidemiology (120 citations) and Emergency Medicine (29 citations). Alexander Tan has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Chun‐Jen Liu, Pei‐Jer Chen, Kayla A. Steward, Weng Kit Lye, Lee‐Ling Lim, Jeyakantha Ratnasingam, Suresh Chandran, Daphne Gardner, Mitzi M. Gonzales and Cole Hague. Their work appears in journals such as The Clinical Neuropsychologist, Journal of Clinical and Experimental Neuropsychology, ADHD Attention Deficit and Hyperactivity Disorders, Patient Preference and Adherence and Liver International.

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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