Che Ngufor

1.3k total citations · 1 hit paper
54 papers, 807 citations indexed

About

Che Ngufor is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Che Ngufor has authored 54 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Cardiology and Cardiovascular Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Che Ngufor's work include Machine Learning in Healthcare (12 papers), Blood transfusion and management (7 papers) and Atrial Fibrillation Management and Outcomes (7 papers). Che Ngufor is often cited by papers focused on Machine Learning in Healthcare (12 papers), Blood transfusion and management (7 papers) and Atrial Fibrillation Management and Outcomes (7 papers). Che Ngufor collaborates with scholars based in United States, Nigeria and Canada. Che Ngufor's co-authors include Nilay D. Shah, Rozalina G. McCoy, Nihar R. Desai, Joseph S. Ross, Sanket S. Dhruva, Alyssa Berkowitz, Bobak J. Mortazavi, Jeptha P. Curtis, John C. Messenger and Nathan C. Hurley and has published in prestigious journals such as JAMA, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Che Ngufor

47 papers receiving 791 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

2020 220 citations Sanket S. Dhruva, Joseph S. Ross et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Che Ngufor United States	15	293	288	209	195	143	54	807
Andre L. Holder United States	15	363 1.2×	159 0.6×	164 0.8×	160 0.8×	480 3.4×	39	1.4k
Rishikesan Kamaleswaran United States	16	205 0.7×	173 0.6×	238 1.1×	48 0.2×	286 2.0×	117	1.1k
Sadia Khan United Kingdom	17	248 0.8×	193 0.7×	297 1.4×	290 1.5×	37 0.3×	71	1.1k
Lucas Bulgarelli United States	10	203 0.7×	69 0.2×	201 1.0×	99 0.5×	336 2.3×	22	1.3k
Marilyn Hravnak United States	17	275 0.9×	91 0.3×	453 2.2×	148 0.8×	69 0.5×	48	930
Desmond Jordan United States	19	497 1.7×	134 0.5×	547 2.6×	174 0.9×	118 0.8×	52	1.2k
Shiying Hao United States	15	103 0.4×	48 0.2×	137 0.7×	102 0.5×	167 1.2×	43	774
Marije Wijnberge Netherlands	12	468 1.6×	104 0.4×	407 1.9×	78 0.4×	43 0.3×	30	839
Nikhil K. Chanani United States	12	143 0.5×	97 0.3×	139 0.7×	100 0.5×	43 0.3×	38	511
Sicheng Hao United States	6	194 0.7×	29 0.1×	197 0.9×	88 0.5×	297 2.1×	14	1.2k

Countries citing papers authored by Che Ngufor

Since Specialization

Citations

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

Fields of papers citing papers by Che Ngufor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che Ngufor

This figure shows the co-authorship network connecting the top 25 collaborators of Che Ngufor. A scholar is included among the top collaborators of Che Ngufor 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 Che Ngufor. Che Ngufor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ngufor, Che, Nan Zhang, Holly K. Van Houten, et al.. (2025). Causal Machine Learning for Left Atrial Appendage Occlusion in Patients With Atrial Fibrillation. JACC. Clinical electrophysiology. 11(5). 977–986. 2 indexed citations

Asiedu, Gladys B., Mary Ellen Young, Folakemi T. Odedina, et al.. (2024). Abstract 1310: Social determinants of migrant health factors impacting prostate cancer care and survivorship among sub-Saharan African immigrant men diagnosed with prostate cancer. Cancer Research. 84(6_Supplement). 1310–1310. 1 indexed citations

Hurley, Nathan C., Sanket S. Dhruva, Nihar R. Desai, et al.. (2023). Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. PubMed. 4(4). 1–18. 1 indexed citations

Rotimi, Solomon O., Folakemi T. Odedina, Roxana Dronca, et al.. (2023). Abstract A045: Investigating the biological determinants of poor mental health among ethnically diverse Black prostate cancer survivors: An iCCaRE consortium for prostate cancer in Black men project. Cancer Epidemiology Biomarkers & Prevention. 32(1_Supplement). A045–A045.

Killian, Jill M., Margaret M. Redfield, LaTonya J. Hickson, et al.. (2023). Changes in Kidney Function After Diagnosis of Advanced Heart Failure. Journal of Cardiac Failure. 29(12). 1617–1625. 4 indexed citations

Odedina, Folakemi T., Roxana Dronca, Kimlin Ashing, et al.. (2023). Abstract A042: Addressing prostate cancer disparities through the Inclusive Cancer Care Research Equity (iCCaRE) for Black men consortium. Cancer Epidemiology Biomarkers & Prevention. 32(1_Supplement). A042–A042.

Inselman, Jonathan, et al.. (2022). A prediction model for asthma exacerbations after stopping asthma biologics. Annals of Allergy Asthma & Immunology. 130(3). 305–311. 10 indexed citations

Dunlay, Shannon M., Saul Blecker, Phillip J. Schulte, et al.. (2022). Identifying Patients With Advanced Heart Failure Using Administrative Data. SHILAP Revista de lepidopterología. 6(2). 148–155. 4 indexed citations

Inselman, Jonathan, et al.. (2022). Development and validation of explainable machine learning prediction model for asthma exacerbations in people who stop asthma biologics. Journal of Allergy and Clinical Immunology. 149(2). AB44–AB44. 1 indexed citations

10.

Yao, Xiaoxi, Che Ngufor, Nan Zhang, et al.. (2022). MACHINE LEARNING IDENTIFIED SUBSET OF AF PATIENTS WHO BENEFIT FROM LEFT ATRIAL APPENDAGE OCCLUSION VERSUS NOAC. Journal of the American College of Cardiology. 79(9). 29–29.

11.

Cai, Cheng, Ahmad P. Tafti, Che Ngufor, et al.. (2021). Using ensemble of ensemble machine learning methods to predict outcomes of cardiac resynchronization. Journal of Cardiovascular Electrophysiology. 32(9). 2504–2514. 8 indexed citations

12.

Dhruva, Sanket S., Joseph S. Ross, Bobak J. Mortazavi, et al.. (2021). Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock. JAMA Network Open. 4(2). e2037748–e2037748. 64 indexed citations

13.

Zolnoori, Maryam, et al.. (2020). A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With Depression. JMIR Research Protocols. 9(10). e18366–e18366. 3 indexed citations

14.

Fortune, Emma, Beth A. Cloud, Che Ngufor, et al.. (2019). Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors. Journal of Electromyography and Kinesiology. 62. 102337–102337. 20 indexed citations

15.

Ngufor, Che, Holly Van Houten, Brian Caffo, Nilay D. Shah, & Rozalina G. McCoy. (2018). Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c. Journal of Biomedical Informatics. 89. 56–67. 59 indexed citations

16.

Murphree, Dennis H., et al.. (2018). Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. Computers in Biology and Medicine. 103. 109–115. 26 indexed citations

17.

Ngufor, Che, Matthew A. Warner, Dennis H. Murphree, et al.. (2017). Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.. PubMed Central. 2017. 1332–1341. 7 indexed citations

18.

Murphree, Dennis H., Che Ngufor, Robert R. Cima, et al.. (2017). Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility. SHILAP Revista de lepidopterología. 1(1). 100–110. 24 indexed citations

19.

Ngufor, Che, et al.. (2014). Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction. The Florida AI Research Society. 5 indexed citations

20.

Borne, Sabine Le & Che Ngufor. (2010). An implicit approximate inverse preconditioner for saddle point problems.. tub.dok (Hamburg University of Technology). 37. 173–188. 3 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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