Daniel J. Won

16 papers receiving 472 citations

Peers

Daniel J. Won
Comparison fields: 5 of 50
  • Public Health, Environmental and Occupational Health 306
  • Cellular and Molecular Neuroscience 111
  • Pathology and Forensic Medicine 99
  • Medical Terminology 1
  • Neurology 49
Replace Rémy Noudel with:
Rémy Noudel France
Naruhiko Nakanishi Japan
J. Francisco Salomão Brazil
Nasser M. F. El-Ghandour Egypt
Yusuf Tüzün Türkiye
Gökşin Şengül Türkiye
S. Sampath India
Colin Driver United Kingdom
Georgina Barone United States
Susan P. Knowler United Kingdom
Daniel J. Won relative to Rémy Noudel France Rémy Noudel's profile →
Citations per field
00.5×8.3×
Rémy Noudel · 1×
Citations per year

Countries citing papers authored by Daniel J. Won

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Won. 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 Daniel J. Won. The network helps show where Daniel J. Won may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007112
2 200470
3 200434
4 200732
5 201331
6 198831
7 200427
8 200124
9 200022
10 200421
11 199917
12 200917
13 200814
14 200414
15 200513
16 201012

About Daniel J. Won

Daniel J. Won is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 491 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (9 papers), Spinal Dysraphism and Malformations (9 papers), Spinal Cord Injury Research (8 papers), Fetal and Pediatric Neurological Disorders (2 papers), Surgical site infection prevention (1 paper), Medical Imaging and Analysis (1 paper), Surgical Sutures and Adhesives (1 paper) and Spinal Fractures and Fixation Techniques (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (306 citations), Cellular and Molecular Neuroscience (111 citations), Pathology and Forensic Medicine (99 citations), Medical Terminology (1 citation) and Neurology (49 citations). Daniel J. Won has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Shokei Yamada, Shoko M. Yamada, Javed Siddiqi, Austin R. T. Colohan, Brian S. Yamada, G. Pezeshkpour, Alexander Zouros, Kuk‐Wha Lee, Daniel K. Kido and Elizabeth M. Fozo. Their work appears in journals such as Neurological Research, Neurosurgical FOCUS, Neurosurgery, Pediatric Neurosurgery and Child s Nervous System.

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.

Explore authors with similar magnitude of impact