Gene Sung

7.1k citations
60 papers · 4.1k indexed · 2 hit papers · h-index 25

Gene Sung

57 papers receiving 3.9k citations

Hit Papers

Mechanical Thrombectomy for Acute Ischemic Stroke9112005202620122019250500750

Peers

Gene Sung
Comparison fields: 5 of 104
  • Internal Medicine 589
  • Neurology 1.9k
  • Rehabilitation 774
  • Epidemiology 2.6k
  • Pulmonary and Respiratory Medicine 1.7k
Replace Hagen B. Huttner with:
Hagen B. Huttner Germany
Paul J. Nederkoorn Netherlands
José G. Romano United States
Thanh N. Nguyen United States
Theodore Wein Canada
Zsolt Garami United States
William M. Coplin United States
Thomas Hemmen United States
Pablo M. Lavados Chile
Marilyn M. Rymer United States
Gene Sung relative to Hagen B. Huttner Germany Hagen B. Huttner's profile →
Citations per field
00.5×1.5×2.4×
Hagen B. Huttner · 1×
Citations per year

Countries citing papers authored by Gene Sung

Since Specialization
Citations

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

Fields of papers citing papers by Gene Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20222
4 20205
5 202016
6 201933
7 20186
8 201716
9 201544
10 2015284
11 201212
12 201147
13 201018
14 200991
15
Mechanical Thrombectomy for Acute Ischemic Strokebreakdown →
2008911
16 200830
17 200613
18 20025
19 19998
20 1995178

About Gene Sung

Gene Sung is a scholar working on Neurology, Emergency Medicine and Internal Medicine, having authored 60 papers that have together received 4.1k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (24 papers), Acute Ischemic Stroke Management (21 papers), Cardiac Arrest and Resuscitation (11 papers), Stroke Rehabilitation and Recovery (7 papers), Organ Donation and Transplantation (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). The work is most often cited by research in Internal Medicine (589 citations), Neurology (1.9k citations) and Rehabilitation (774 citations). Gene Sung has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Wade S. Smith, Jeffrey L. Saver, Sidney Starkman, David S. Liebeskind, Ronald F. Budzik, Marilyn M. Rymer, Helmi L. Lutsep, Y. Pierre Gobin, Randall T. Higashida and Gary Duckwiler. Their work appears in journals such as Stroke, Neurocritical Care, Neurosurgery, Journal of Stroke and Cerebrovascular Diseases and Neurology.

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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