Kevin Chagin

2.0k total citations
36 papers, 1.2k citations indexed

About

Kevin Chagin is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Kevin Chagin has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in General Health Professions. Recurrent topics in Kevin Chagin's work include Pelvic floor disorders treatments (5 papers), Food Security and Health in Diverse Populations (5 papers) and Diabetes Management and Research (5 papers). Kevin Chagin is often cited by papers focused on Pelvic floor disorders treatments (5 papers), Food Security and Health in Diverse Populations (5 papers) and Diabetes Management and Research (5 papers). Kevin Chagin collaborates with scholars based in United States, United Kingdom and Sweden. Kevin Chagin's co-authors include Michael W. Kattan, Brian J. Wells, Amy S. Nowacki, Alex Milinovich, Kevin M. Pantalone, Janine Bauman, Robert S. Zimmerman, J. Eric Jelovsek, Changhong Yu and Anita D. Misra‐Hebert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Annals of Surgery.

In The Last Decade

Kevin Chagin

34 papers receiving 1.2k citations

Peers

Kevin Chagin
Virginia Chiocchia United Kingdom
Scott M. Brue United States
Alison Bourke United Kingdom
Joshua J. Pankratz United States
Kevin Chagin
Citations per year, relative to Kevin Chagin Kevin Chagin (= 1×) peers Cheng‐Yang Hsieh

Countries citing papers authored by Kevin Chagin

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chagin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Chagin

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Chagin. A scholar is included among the top collaborators of Kevin Chagin 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 Kevin Chagin. Kevin Chagin 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.
Kim, Jin, et al.. (2022). Food insecurity, social needs, and smoking status among patients in a county hospital system. Preventive Medicine Reports. 29. 101963–101963. 7 indexed citations
2.
Misra‐Hebert, Anita D., Alex Milinovich, Michael W. Kattan, et al.. (2022). Implementation Experience with a 30-Day Hospital Readmission Risk Score in a Large, Integrated Health System: A Retrospective Study. Journal of General Internal Medicine. 37(12). 3054–3061. 4 indexed citations
3.
Chagin, Kevin, Michael W. Kattan, Xinge Ji, et al.. (2019). Predicting seizure freedom after epilepsy surgery, a challenge in clinical practice. Epilepsy & Behavior. 95. 124–130. 25 indexed citations
4.
Jelovsek, J. Eric, Kevin Chagin, Emily S. Lukacz, et al.. (2018). Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery. Obstetrics and Gynecology. 132(2). 298–309. 20 indexed citations
5.
Williams, Brent A., Kevin Chagin, Lori D. Bash, et al.. (2018). External validation of the TIMI risk score for secondary cardiovascular events among patients with recent myocardial infarction. Atherosclerosis. 272. 80–86. 23 indexed citations
6.
Chagin, Kevin, et al.. (2017). A model to predict risk of blood transfusion after gynecologic surgery. American Journal of Obstetrics and Gynecology. 216(5). 506.e1–506.e14. 16 indexed citations
7.
Hatipoğlu, Umur, et al.. (2017). Predicting 30-Day All-Cause Readmission Risk for Subjects Admitted With Pneumonia at the Point of Care. Respiratory Care. 63(1). 43–49. 21 indexed citations
8.
Jelovsek, J. Eric, Kevin Chagin, Maria Gyhagen, et al.. (2017). Predicting risk of pelvic floor disorders 12 and 20 years after delivery. American Journal of Obstetrics and Gynecology. 218(2). 222.e1–222.e19. 69 indexed citations
9.
Pantalone, Kevin M., Todd Hobbs, Kevin Chagin, et al.. (2017). Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system. BMJ Open. 7(11). e017583–e017583. 156 indexed citations
10.
Nam, Robert K., Raj Satkunasivam, Joseph L. Chin, et al.. (2017). Next-generation prostate cancer risk calculator for primary care physicians. Canadian Urological Association Journal. 12(2). E64–70. 9 indexed citations
11.
Mackall, Crystal L., Sandra P. D’Angelo, Stephan A. Grupp, et al.. (2016). Open label non-randomized multi-cohort pilot study of genetically engineered NY-ESO-1 specific NY-ESO-1c259 SPEAR T-cellsTM in HLA-A*02+ patients with synovial sarcoma (NCT01343043). Annals of Oncology. 27. vi368–vi368. 2 indexed citations
12.
Jelovsek, J. Eric, Audra Jolyn Hill, Kevin Chagin, Michael W. Kattan, & Matthew D. Barber. (2016). Predicting Risk of Urinary Incontinence and Adverse Events After Midurethral Sling Surgery in Women. Obstetrics and Gynecology. 127(2). 330–340. 15 indexed citations
13.
Hatipoğlu, Umur, et al.. (2015). The Cleveland Clinic Prediction Model for Real-Time Estimation of 30 Day All-Cause Readmission Risk for Patients Admitted With Pneumonia. CHEST Journal. 148(4). 469A–469A. 1 indexed citations
14.
Martin, Thomas D., Jane Ferraro, Kevin Chagin, et al.. (2015). Newly implemented enhanced recovery pathway positively impacts hospital length of stay. Surgical Endoscopy. 30(9). 4019–4028. 35 indexed citations
15.
Patel, Krishna, Kevin Chagin, Gautam Shah, et al.. (2015). Probability of developing proximal deep-vein thrombosis and/or pulmonary embolism after distal deep-vein thrombosis. Thrombosis and Haemostasis. 115(3). 608–614. 20 indexed citations
16.
Jehi, Lara, Ruta Yardi, Kevin Chagin, et al.. (2015). Development and validation of nomograms to provide individualised predictions of seizure outcomes after epilepsy surgery: a retrospective analysis. The Lancet Neurology. 14(3). 283–290. 164 indexed citations
17.
Jelovsek, J. Eric, Kevin Chagin, Linda Brubaker, et al.. (2014). A Model for Predicting the Risk of De Novo Stress Urinary Incontinence in Women Undergoing Pelvic Organ Prolapse Surgery. Obstetrics and Gynecology. 123(2). 279–287. 65 indexed citations
18.
Wells, Brian J., Kevin Chagin, Liang Li, et al.. (2014). Using the landmark method for creating prediction models in large datasets derived from electronic health records. Health Care Management Science. 18(1). 86–92. 11 indexed citations
19.
Saleh, Anas, Ashish K. Khanna, Kevin Chagin, et al.. (2014). Glycopeptides Versus β-Lactams for the Prevention of Surgical Site Infections in Cardiovascular and Orthopedic Surgery. Annals of Surgery. 261(1). 72–80. 20 indexed citations
20.
Wells, Brian J., Amy S. Nowacki, Kevin Chagin, & Michael W. Kattan. (2013). Strategies for Handling Missing Data in Electronic Health Record Derived Data. SHILAP Revista de lepidopterología. 1(3). 7–7. 262 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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