James Song

718 total citations
13 papers, 566 citations indexed

About

James Song is a scholar working on Surgery, Molecular Biology and Urology. According to data from OpenAlex, James Song has authored 13 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Urology. Recurrent topics in James Song's work include Urinary Tract Infections Management (3 papers), Urinary Bladder and Prostate Research (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). James Song is often cited by papers focused on Urinary Tract Infections Management (3 papers), Urinary Bladder and Prostate Research (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). James Song collaborates with scholars based in United States, China and Australia. James Song's co-authors include Peter Pertel, Shurjeel Choudhri, Philip Giordano, Steven F. Kowalsky, Shengli Zhang, Mark A. Malangoni, Lei Zhang, Gang Ren, Karl H. Weisgraber and Benjamin A. Lipsky and has published in prestigious journals such as Annals of Surgery, The Journal of Urology and Journal of Lipid Research.

In The Last Decade

James Song

13 papers receiving 542 citations

Peers

James Song
Derek M. Culnan United States
Francesco Sbrana Italy
Mihaela Vlad Romania
Seok Hwee Koo Singapore
Marcelo Rodrigues Bacci Brazil
Gunnar Brandhorst Germany
Ali Momeni Iran
Ting Luan China
Joel B. Cochran United States
T Velpandian India
Derek M. Culnan United States
James Song
Citations per year, relative to James Song James Song (= 1×) peers Derek M. Culnan

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

13 of 13 papers shown
1.
Shah, Prithvi K., James Song, Samuel Kim, et al.. (2011). Rodent estrous cycle response to incomplete spinal cord injury, surgical interventions, and locomotor training.. Behavioral Neuroscience. 125(6). 996–1002. 8 indexed citations
2.
Zhang, Lei, James Song, Giorgio Cavigiolio, et al.. (2010). Morphology and structure of lipoproteins revealed by an optimized negative-staining protocol of electron microscopy. Journal of Lipid Research. 52(1). 175–184. 95 indexed citations
3.
Zhang, Lei, James Song, Yvonne M. Newhouse, et al.. (2009). An optimized negative-staining protocol of electron microscopy for apoE4•POPC lipoprotein. Journal of Lipid Research. 51(5). 1228–1236. 58 indexed citations
4.
Engler, Mary B., Clive R. Pullinger, Mary J. Malloy, et al.. (2008). Genetic variation in phospholipid transfer protein modulates lipoprotein profiles in hyperalphalipoproteinemia. Metabolism. 57(12). 1719–1724. 16 indexed citations
5.
Schaeffer, Anthony J., Francesco Montorsi, Vincenzo Scattoni, et al.. (2007). Comparison of a 3‐day with a 1‐day regimen of an extended‐release formulation of ciprofloxacin as antimicrobial prophylaxis for patients undergoing transrectal needle biopsy of the prostate. British Journal of Urology. 100(1). 51–57. 47 indexed citations
6.
Lipsky, Benjamin A., Philip Giordano, Shurjeel Choudhri, & James Song. (2007). Treating diabetic foot infections with sequential intravenous to oral moxifloxacin compared with piperacillin–tazobactam/amoxicillin–clavulanate. Journal of Antimicrobial Chemotherapy. 60(2). 370–376. 66 indexed citations
7.
8.
Aouizerat, Bradley E., Mary B. Engler, Yanina Natanzon, et al.. (2005). Genetic variation of PLTP modulates lipoprotein profiles in hypoalphalipoproteinemia. Journal of Lipid Research. 47(4). 787–793. 23 indexed citations
9.
10.
Klimberg, Ira, Howard Ellison, Richard Colgan, et al.. (2005). Time to symptom relief for uncomplicated urinary tract infection treated with extended-release ciprofloxacin: a prospective, open-label, uncontrolled primary care study. Current Medical Research and Opinion. 21(8). 1241–1250. 10 indexed citations
11.
Keating, Karen, et al.. (2004). A 'Gap' between Physician and Patient Assessment of Symptom Severity in Acute Cystitis?. Postgraduate Medicine. 116(6). 11–20. 10 indexed citations
12.
Talan, David A., Ira Klimberg, Lindsay E. Nicolle, et al.. (2004). Once Daily, Extended Release Ciprofloxacin for Complicated Urinary Tract Infections and Acute Uncomplicated Pyelonephritis. The Journal of Urology. 171(2). 734–739. 46 indexed citations
13.
Gasparro, Francis P., et al.. (1988). Rapid and Sensitive Analysis of 8-Methoxypsoralen in Plasma. Journal of Investigative Dermatology. 90(2). 234–236. 40 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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