James Song

3.6k total citations
69 papers, 2.7k citations indexed

About

James Song is a scholar working on Epidemiology, Oncology and Statistics and Probability. According to data from OpenAlex, James Song has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 15 papers in Oncology and 13 papers in Statistics and Probability. Recurrent topics in James Song's work include Traumatic Brain Injury Research (27 papers), Statistical Methods in Clinical Trials (10 papers) and Cardiac Arrest and Resuscitation (10 papers). James Song is often cited by papers focused on Traumatic Brain Injury Research (27 papers), Statistical Methods in Clinical Trials (10 papers) and Cardiac Arrest and Resuscitation (10 papers). James Song collaborates with scholars based in United States, Canada and United Kingdom. James Song's co-authors include Harvey S. Levin, Stephen R. McCauley, Jack Μ. Fletcher, Corwin Boake, Charles F. Contant, Linda Ewing‐Cobbs, Sandra B. Chapman, Heather S. Goodman, Marcia A. Barnes and Dianne B. Mendelsohn and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

James Song

67 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Song United States 29 1.6k 925 786 300 298 69 2.7k
Pamela L. Wolters United States 34 633 0.4× 222 0.2× 1.3k 1.6× 73 0.2× 226 0.8× 105 3.2k
Jonathan Greenberg United States 24 262 0.2× 167 0.2× 122 0.2× 260 0.9× 113 0.4× 133 2.2k
Deborah Miller United States 32 404 0.2× 59 0.1× 729 0.9× 753 2.5× 187 0.6× 84 3.9k
Victor Patterson United Kingdom 29 358 0.2× 63 0.1× 843 1.1× 494 1.6× 218 0.7× 94 2.9k
Charles G. Watson United States 29 655 0.4× 49 0.1× 237 0.3× 722 2.4× 166 0.6× 207 3.5k
B. Christine United States 28 446 0.3× 120 0.1× 144 0.2× 576 1.9× 46 0.2× 62 3.0k
James A. Russell United States 28 343 0.2× 115 0.1× 90 0.1× 39 0.1× 158 0.5× 71 3.6k
Staci Martin United States 24 305 0.2× 59 0.1× 495 0.6× 347 1.2× 490 1.6× 61 2.2k
Deborah Cook United States 15 331 0.2× 261 0.3× 376 0.5× 58 0.2× 59 0.2× 71 3.2k
Henrik Frederiksen Denmark 36 200 0.1× 55 0.1× 219 0.3× 230 0.8× 252 0.8× 193 4.3k

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-authorship network of co-authors of James Song

This figure shows the co-authorship network connecting the top 25 collaborators of James Song. A scholar is included among the top collaborators of James Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Song. James Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dong, Gaohong, Bo Huang, Johan Verbeeck, et al.. (2022). Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time‐to‐event outcomes. Pharmaceutical Statistics. 22(1). 20–33. 30 indexed citations
3.
Song, James, Johan Verbeeck, Bo Huang, et al.. (2022). The win odds: statistical inference and regression. Journal of Biopharmaceutical Statistics. 33(2). 140–150. 11 indexed citations
4.
Dong, Gaohong, Bo Huang, Yu‐Wei Chang, et al.. (2019). The win ratio: Impact of censoring and follow‐up time and use with nonproportional hazards. Pharmaceutical Statistics. 19(3). 168–177. 21 indexed citations
5.
Goel, Sanjay, Umang Swami, Christian Dittrich, et al.. (2019). A phase 1b, multicenter, open-label, dose-finding study of eribulin in combination with carboplatin in advanced solid tumors and non-small cell lung cancer. Cancer Chemotherapy and Pharmacology. 84(3). 567–578. 3 indexed citations
6.
Twelves, Christopher, Javier Cortés, Peter A. Kaufman, et al.. (2015). “New” metastases are associated with a poorer prognosis than growth of pre-existing metastases in patients with metastatic breast cancer treated with chemotherapy. Breast Cancer Research. 17(1). 150–150. 33 indexed citations
7.
Song, James. (2015). A two-stage design with two co-primary endpoints. SHILAP Revista de lepidopterología. 1. 2–4. 3 indexed citations
8.
Shaikh, Nader, Elaine E. L. Wang, Adriano Arguedas, et al.. (2011). ACUTE OTITIS MEDIA SEVERITY OF SYMPTOM SCORE IN A TYMPANOCENTESIS STUDY. The Pediatric Infectious Disease Journal. 30(3). 253–255. 5 indexed citations
9.
Song, James. (2006). Inference methods for saturated models in longitudinal clinical trials with incomplete binary data. Pharmaceutical Statistics. 5(4). 295–304. 1 indexed citations
10.
Boake, Corwin, Stephen R. McCauley, Harvey S. Levin, et al.. (2005). Diagnostic Criteria for Postconcussional Syndrome After Mild to Moderate Traumatic Brain Injury. Journal of Neuropsychiatry. 17(3). 350–356. 159 indexed citations
11.
Chapman, Sandra B., Harvey S. Levin, Maureen Dennis, et al.. (2004). Discourse Macrolevel Processing After Severe Pediatric Traumatic Brain Injury. Developmental Neuropsychology. 25(1-2). 37–60. 51 indexed citations
12.
Hanten, Gerri, Maureen Dennis, Lifang Zhang, et al.. (2004). Childhood Head Injury and Metacognitive Processes in Language and Memory. Developmental Neuropsychology. 25(1-2). 85–106. 40 indexed citations
13.
14.
Song, James, et al.. (2002). Raising the Ceiling: The Tower of London-Extended Version. Developmental Neuropsychology. 21(1). 1–14. 14 indexed citations
15.
Chapman, Sandra B., et al.. (2001). Longitudinal Outcome of Verbal Discourse in Children with Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 16(5). 441–455. 43 indexed citations
16.
Levin, Harvey S., Sharon A. Brown, James Song, et al.. (2001). Depression and Posttraumatic Stress Disorder at Three Months After Mild to Moderate Traumatic Brain Injury. Journal of Clinical and Experimental Neuropsychology. 23(6). 754–769. 144 indexed citations
17.
Levin, Harvey S., James Song, Randall S. Scheibel, et al.. (2000). Dissociation of Frequency and Recency Processing From List Recall After Severe Closed Head Injury in Children and Adolescents. Journal of Clinical and Experimental Neuropsychology. 22(1). 1–15. 28 indexed citations
18.
Brookshire, Bonnie L., Sandra B. Chapman, James Song, & Harvey S. Levin. (2000). Cognitive and linguistic correlates of children's discourse after closed head injury: A three-year follow-up. Journal of the International Neuropsychological Society. 6(7). 741–751. 82 indexed citations
19.
Fletcher, Jack Μ., H. Julia Hannay, Sondra T. Bland, et al.. (1999). Corpus Callosum Damage and InterhemispherIc Transfer of Information following Closed Head Injury in Children. Cortex. 35(3). 315–336. 52 indexed citations
20.
Levin, Harvey S., Dianne B. Mendelsohn, Joel W. Yeakley, et al.. (1997). Magnetic Resonance Imaging in Relation to Functional Outcome of Pediatric Closed Head Injury: A Test of the Ommaya-Gennarelli Model. Neurosurgery. 40(3). 432–441. 117 indexed citations

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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