James Szymanski

854 total citations
27 papers, 560 citations indexed

About

James Szymanski is a scholar working on Infectious Diseases, Surgery and Oncology. According to data from OpenAlex, James Szymanski has authored 27 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Surgery and 6 papers in Oncology. Recurrent topics in James Szymanski's work include COVID-19 Clinical Research Studies (8 papers), CAR-T cell therapy research (3 papers) and Intraoperative Neuromonitoring and Anesthetic Effects (3 papers). James Szymanski is often cited by papers focused on COVID-19 Clinical Research Studies (8 papers), CAR-T cell therapy research (3 papers) and Intraoperative Neuromonitoring and Anesthetic Effects (3 papers). James Szymanski collaborates with scholars based in United States, United Kingdom and Canada. James Szymanski's co-authors include Henny H. Billett, Shafia Rahman, Jesus D. Gonzalez‐Lugo, Morayma Reyes Gil, Sandhya R. Panch, David F. Stroncek, Jeffrey H. Owen, Kenji Ikemura, Eran Bellin and Bipin N. Savani and has published in prestigious journals such as PLoS ONE, Spine and Anesthesiology.

In The Last Decade

James Szymanski

24 papers receiving 531 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 Szymanski United States 11 209 152 103 95 63 27 560
Matteo Filippini Italy 14 132 0.6× 103 0.7× 63 0.6× 49 0.5× 79 1.3× 33 835
Marco Grosso Italy 12 97 0.5× 81 0.5× 65 0.6× 160 1.7× 34 0.5× 39 646
Bingwen Eugene Fan Singapore 14 266 1.3× 102 0.7× 213 2.1× 48 0.5× 19 0.3× 66 643
Linlin Cheng China 11 240 1.1× 44 0.3× 96 0.9× 101 1.1× 29 0.5× 46 628
Sébastien Molière France 11 367 1.8× 103 0.7× 161 1.6× 235 2.5× 147 2.3× 47 775
Bryce D. Beutler United States 12 105 0.5× 103 0.7× 101 1.0× 206 2.2× 29 0.5× 86 586
Luca Carmisciano Italy 14 71 0.3× 100 0.7× 58 0.6× 48 0.5× 59 0.9× 51 609
Luciana Parente Costa Seguro Brazil 14 43 0.2× 68 0.4× 44 0.4× 46 0.5× 54 0.9× 38 583

Countries citing papers authored by James Szymanski

Since Specialization
Citations

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

Fields of papers citing papers by James Szymanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Szymanski

This figure shows the co-authorship network connecting the top 25 collaborators of James Szymanski. A scholar is included among the top collaborators of James Szymanski 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 Szymanski. James Szymanski 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.
Kuan, K., James Szymanski, Jamal Carter, Ronald Walsh, & Monika Paroder. (2022). Apheresis Illustrated. Hyper‐triglyceridemic acute pancreatitis: A milky situation. Journal of Clinical Apheresis. 37(6). 592–593. 1 indexed citations
2.
Ikemura, Kenji, Eran Bellin, Yukako Yagi, et al.. (2021). Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. Journal of Medical Internet Research. 23(2). e23458–e23458. 59 indexed citations
3.
Gil, Morayma Reyes, Jesus D. Gonzalez‐Lugo, Shafia Rahman, et al.. (2021). Correlation of Coagulation Parameters With Clinical Outcomes During the Coronavirus-19 Surge in New York: Observational Cohort. Frontiers in Physiology. 12. 618929–618929. 10 indexed citations
4.
Nelson, Randin, Jamal Carter, James Szymanski, et al.. (2021). Mysterious clumping in a cell therapy product. Transfusion. 61(8). 2232–2233. 2 indexed citations
5.
6.
Szymanski, James, Jamal Carter, Randin Nelson, et al.. (2021). ABO blood type association with SARS‐CoV‐2 infection mortality: A single‐center population in New York City. Transfusion. 61(4). 1064–1070. 10 indexed citations
7.
Billett, Henny H., James Szymanski, Kenji Ikemura, et al.. (2020). Anticoagulation in COVID-19: Effect of Enoxaparin, Heparin, and Apixaban on Mortality. Thrombosis and Haemostasis. 120(12). 1691–1699. 106 indexed citations
8.
Carter, Jamal, Randin Nelson, Karin A. Skalina, et al.. (2020). SARS-CoV-2 PCR cycle threshold at hospital admission associated with patient mortality. PLoS ONE. 15(12). e0244777–e0244777. 29 indexed citations
9.
Gil, Morayma Reyes, et al.. (2020). Assessment of Lupus Anticoagulant Positivity in Patients With Coronavirus Disease 2019 (COVID-19). JAMA Network Open. 3(8). e2017539–e2017539. 65 indexed citations
10.
Panch, Sandhya R., James Szymanski, Steven L. Highfill, et al.. (2019). Effects of starting cellular material composition on chimeric antigen receptor T‐cell expansion and characteristics. Transfusion. 59(5). 1755–1764. 32 indexed citations
11.
Wu, Ding Wen, Yu Xia, S. Forest, et al.. (2018). Impact of Prothrombin Complex Concentrate on Blood Use, Cost, and Outcomes in Heart Transplantation. The Annals of Thoracic Surgery. 105(4). 1152–1157. 10 indexed citations
12.
Hu, Shaomin, et al.. (2018). Breast pathology and mammography BI-RADS category correlation study - A single institute experience. Annals of Diagnostic Pathology. 35. 11–15. 1 indexed citations
13.
Panch, Sandhya R., James Szymanski, Bipin N. Savani, & David F. Stroncek. (2017). Sources of Hematopoietic Stem and Progenitor Cells and Methods to Optimize Yields for Clinical Cell Therapy. Biology of Blood and Marrow Transplantation. 23(8). 1241–1249. 59 indexed citations
14.
Francischetti, Ivo M.B., James Szymanski, Daniel Rodríguez, Moonseong Heo, & Lucia R. Wolgast. (2017). Laboratory and clinical predictors of 30-day survival for patients on Extracorporeal Membrane Oxygenation (ECMO): 8-Year experience at Albert Einstein College of Medicine, Montefiore Medical Center. Journal of Critical Care. 40. 136–144. 13 indexed citations
15.
Hébert, Tiffany, James Szymanski, José G. Mantilla, et al.. (2016). Onboarding for Pathology Residency Programs—The Montefiore Experience. Academic Pathology. 3. 1530640107–1530640107. 5 indexed citations
16.
Szymanski, James & Ivo M.B. Francischetti. (2015). Effectiveness of Random Forest Classification Techniques for Feature Selection on a Large Extra Corporeal Membrane Oxygenation Dataset. American Journal of Clinical Pathology. 144(suppl 2). A175–A175.
17.
Szymanski, James, et al.. (2012). A 50-Year-old With Gross Hematuria. Urology. 80(3). 509–511. 3 indexed citations
18.
Owen, Jeffrey H., Paul D. Sponseller, James Szymanski, & Mark Friedrich B. Hurdle. (1995). Efficacy of Multimodality Spinal Cord Monitoring During Surgery for Neuromuscular Scoliosis. Spine. 20(13). 1480–1488. 48 indexed citations
19.
Owen, Jeffrey H., et al.. (1994). The Use of Mechanically Elicited Electromyograms to Protect Nerve Roots During Surgery for Spinal Degeneration. Spine. 19(15). 1704–1710. 46 indexed citations
20.
McPherson, Robert W., James Szymanski, & Mark C. Rogers. (1984). Somatosensory Evoked Potential Changes in Position-related Brain Stem Ischemia . Anesthesiology. 61(1). 88–90. 26 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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