Robert Gan

2.3k citations
28 papers · 1.7k indexed · 1 hit paper · h-index 13

Robert Gan

26 papers receiving 1.6k citations

Hit Papers

Stroke Incidence among White, Black, and Hispanic Residen...5461998202620072016100200300400500

Peers

Robert Gan
Comparison fields: 5 of 94
  • Rehabilitation 247
  • Internal Medicine 135
  • Neurology 388
  • Epidemiology 855
  • Pulmonary and Respiratory Medicine 658
Replace Jae‐Kwan Cha with:
Jae‐Kwan Cha South Korea
Kevin M. Barrett United States
V. Rao United States
M.F. Giles United Kingdom
Robyn J. Broadhurst Australia
Francesco Corea Italy
Ku‐Chou Chang Taiwan
Konstantinos Vemmos Greece
Linda Bull United Kingdom
Teng‐Yeow Tan Taiwan
Robert Gan relative to Jae‐Kwan Cha South Korea Jae‐Kwan Cha's profile →
Citations per field
00.5×1.5×2.0×
Jae‐Kwan Cha · 1×
Citations per year

Countries citing papers authored by Robert Gan

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20241
5 20230
6 202211
7 20228
8 20165
9 20159
10 20119
11 201027
12 200934
13 200835
14 200826
15 200215
16 200286
17
Stroke Incidence among White, Black, and Hispanic Residents of an Urban Community: The Northern Manhattan Stroke Studybreakdown →
1998546
18 1998297
19
Stroke subtype as a predictor of nursing home placement: Northern Manhattan Stroke Study
19984
20 199515

About Robert Gan

Robert Gan is a scholar working on Internal Medicine, Rehabilitation, Neurology, Epidemiology and Neurology, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (13 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Stroke Rehabilitation and Recovery (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Rehabilitation (247 citations), Internal Medicine (135 citations), Neurology (388 citations), Epidemiology (855 citations) and Pulmonary and Respiratory Medicine (658 citations). Robert Gan has collaborated with scholars based in Singapore, Philippines and United States. Frequent co-authors include Bernadette Boden‐Albala, Douglas E. Kargman, Ralph L. Sacco, Steven Shea, W. Allen Hauser, Myunghee Cho Paik, Xun Chen, Ralph L. Sacco, I‐Feng Lin and Tatjana Rundek. Their work appears in journals such as Stroke, Cerebrovascular Diseases, BMJ Open, Australasian Journal on Ageing and International Journal of Cardiology.

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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