James Song

3.6k citations
69 papers · 2.7k · h-index 29

Impact in

    • Cardiac Arrest and Resuscitation
    • Trauma and Emergency Care Studies
  • Neurology top 1%
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

    • Traumatic Brain Injury Research 27
    • Cancer Treatment and Pharmacology 9
    • HER2/EGFR in Cancer Research 9

James Song

67 papers receiving 2.6k citations

Peers

James Song
Comparison fields: 5 of 124
  • Emergency Medicine 925
  • Neurology 786
  • Epidemiology 1.6k
  • Psychiatry and Mental health 300
  • Developmental and Educational Psychology 191
Replace Pamela L. Wolters with:
Pamela L. Wolters United States
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Henrik Frederiksen Denmark
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James Song relative to Pamela L. Wolters United States Pamela L. Wolters's profile →
Citations per field
00.5×4.2×
Pamela L. Wolters · 1×
Citations per year

Countries citing papers authored by James Song

Since Specialization
Citations

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

Fields of papers citing papers by James Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2001194
3 2004170
4 2005159
5 2001151
6 2001144
7 2001137
8 1997117
9 200190
10 200082
11 200078
12 199174
13 201668
14 199768
15 200468
16
The role of injury severity in neurobehavioral outcome 3 months after traumatic brain injury.
200265
17 199952
18 200451
19 201448
20 200447

About James Song

James Song is a scholar working on Epidemiology, Oncology, Statistics and Probability, Emergency Medicine and Neurology, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (27 papers), Statistical Methods in Clinical Trials (10 papers), Cardiac Arrest and Resuscitation (10 papers), Cancer Treatment and Pharmacology (9 papers), HER2/EGFR in Cancer Research (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Statistical Methods and Inference (7 papers) and Neurobiology of Language and Bilingualism (6 papers). The work is most often cited by research in Emergency Medicine (925 citations), Neurology (786 citations), Epidemiology (1.6k citations), Psychiatry and Mental health (300 citations) and Developmental and Educational Psychology (191 citations). James Song has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Harvey S. Levin, Stephen R. McCauley, Jack Μ. Fletcher, Charles F. Contant, Corwin Boake, Linda Ewing‐Cobbs, Sandra B. Chapman, Heather S. Goodman, Marcia A. Barnes and Dianne B. Mendelsohn. Their work appears in journals such as Journal of Clinical Oncology, Developmental Neuropsychology, Pharmaceutical Statistics, Journal of Clinical and Experimental Neuropsychology and Computational Statistics & Data Analysis.

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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