Benson A. Babu

493 total citations
11 papers, 88 citations indexed

About

Benson A. Babu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Benson A. Babu has authored 11 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Infectious Diseases. Recurrent topics in Benson A. Babu's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Benson A. Babu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Benson A. Babu collaborates with scholars based in United States, India and Singapore. Benson A. Babu's co-authors include Minglei Yang, Yongxiang Song, Chang Chen, Ulaş Bağcı, Bingxi He, Tingting Wang, Dong Xie, Likun Hou, Lei Zhang and Lili Wang and has published in prestigious journals such as Translational Lung Cancer Research, Cleveland Clinic Journal of Medicine and Congestive Heart Failure.

In The Last Decade

Benson A. Babu

10 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benson A. Babu United States	5	50	40	14	12	11	11	88
Maxime Blain France	5	61 1.2×	31 0.8×	19 1.4×	7 0.6×	23 2.1×	12	124
Elvira Stellato Italy	5	57 1.1×	18 0.5×	20 1.4×	8 0.7×	9 0.8×	11	107
Pietro Danna Italy	5	80 1.6×	23 0.6×	25 1.8×	17 1.4×	9 0.8×	7	126
Dandan Tu China	4	76 1.5×	59 1.5×	43 3.1×	21 1.8×	11 1.0×	6	163
Ittai Dayan United States	5	72 1.4×	18 0.5×	39 2.8×	9 0.8×	6 0.5×	8	114
Mayur Patel India	5	13 0.3×	24 0.6×	9 0.6×	17 1.4×	6 0.5×	12	88
Shuntian Cai China	7	24 0.5×	26 0.7×	14 1.0×	8 0.7×	17 1.5×	12	181
Valeria Chernina Russia	6	136 2.7×	47 1.2×	39 2.8×	12 1.0×	29 2.6×	21	175
Juan Pablo Centeno Spain	3	60 1.2×	98 2.5×	12 0.9×	3 0.3×	12 1.1×	4	157
Domenico Zagaria Italy	6	55 1.1×	16 0.4×	10 0.7×	13 1.1×	16 1.5×	8	122

Countries citing papers authored by Benson A. Babu

Since Specialization

Citations

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

Fields of papers citing papers by Benson A. Babu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benson A. Babu. 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 Benson A. Babu. The network helps show where Benson A. Babu may publish in the future.

Co-authorship network of co-authors of Benson A. Babu

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

All Works

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11 of 11 papers shown

1.

Haider, Ali, et al.. (2024). Digital pathology, deep learning, and cancer: a narrative review. Translational Cancer Research. 13(5). 2544–2560. 6 indexed citations

2.

He, Bingxi, Yongxiang Song, Lili Wang, et al.. (2021). A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics. Translational Lung Cancer Research. 10(2). 955–964. 32 indexed citations

3.

Babu, Benson A., et al.. (2020). Neurologically Disabling Features of Rheumatic Fever. 5(1).

4.

Babu, Benson A., et al.. (2020). Acute pancreatitis secondary to hypertriglyceridemia. Cleveland Clinic Journal of Medicine. 87(12). 742–750. 3 indexed citations

5.

Oh, Michael, et al.. (2020). Candida auris in the Age of Resistance. Cureus. 12(9). e10334–e10334. 7 indexed citations

6.

Oh, Michael S., et al.. (2020). A Meta-Analysis on the Effects of Hydroxychloroquine on COVID-19. Cureus. 12(8). e10005–e10005. 10 indexed citations

7.

Babu, Benson A., et al.. (2020). Automated Lung Cancer Detection Using Artificial Intelligence (AI) Deep Convolutional Neural Networks: A Narrative Literature Review. Cureus. 12(8). e10017–e10017. 21 indexed citations

8.

Babu, Benson A., et al.. (2020). Computer Vision and Abnormal Patient Gait: A Comparison of Methods. 6(1). 29–34. 2 indexed citations

9.

Babu, Benson A., et al.. (2019). Pyoderma gangrenosum mistaken for diabetic ulcer. Cleveland Clinic Journal of Medicine. 86(5). 319–320. 2 indexed citations

10.

Green, Philip, Benson A. Babu, Sergio Teruya, et al.. (2013). Impact of Epoetin Alfa on Left Ventricular Structure, Function, and Pressure Volume Relations as Assessed by Cardiac Magnetic Resonance: The Heart Failure Preserved Ejection Fraction (HFPEF) Anemia Trial. Congestive Heart Failure. 19(4). 172–179. 3 indexed citations

11.

Babu, Benson A. & Teresa L. Carman. (2009). Cancer and clots: All cases of venous thromboembolism are not treated the same. Cleveland Clinic Journal of Medicine. 76(2). 129–135. 2 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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