Éric Zhang

1.3k total citations
35 papers, 735 citations indexed

About

Éric Zhang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Éric Zhang has authored 35 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Oncology. Recurrent topics in Éric Zhang's work include Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Éric Zhang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Éric Zhang collaborates with scholars based in United States, Canada and Spain. Éric Zhang's co-authors include Subba R. Digumarthy, Gangjian Qin, Jianyi Zhang, Chengming Fan, Yawen Tang, Jake Y. Chen, Meng Zhao, Anton V. Borovjagin, Gregory P. Walcott and Wuqiang Zhu and has published in prestigious journals such as New England Journal of Medicine, Circulation and Nature Communications.

In The Last Decade

Éric Zhang

33 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Zhang United States 16 252 202 185 157 155 35 735
Ping Han China 14 143 0.6× 68 0.3× 87 0.5× 124 0.8× 104 0.7× 61 635
Christoph T. Germer Germany 18 130 0.5× 118 0.6× 130 0.7× 89 0.6× 248 1.6× 39 860
Hidenori Tanaka Japan 14 112 0.4× 148 0.7× 94 0.5× 139 0.9× 162 1.0× 70 733
Daniel Puhr‐Westerheide Germany 14 98 0.4× 145 0.7× 59 0.3× 175 1.1× 76 0.5× 46 594
Wenxin He China 17 162 0.6× 545 2.7× 99 0.5× 44 0.3× 162 1.0× 69 857
Gen Iinuma Japan 13 74 0.3× 182 0.9× 157 0.8× 67 0.4× 258 1.7× 42 692
Hee Sung Hwang South Korea 13 147 0.6× 114 0.6× 137 0.7× 58 0.4× 204 1.3× 45 670
Zhenjiang Li China 16 96 0.4× 318 1.6× 311 1.7× 34 0.2× 198 1.3× 78 799

Countries citing papers authored by Éric Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Éric Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Zhang. A scholar is included among the top collaborators of Éric Zhang 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 Éric Zhang. Éric Zhang 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.
Cogen, Jonathan D., et al.. (2025). Association between inhaled antibiotic use and treatment-emergent organisms among Canadian people with cystic fibrosis. Journal of Cystic Fibrosis. 24(5). 843–848.
2.
Rowe, Sam, Éric Zhang, S. Godden, A.K. Vasquez, & D.V. Nydam. (2024). Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections. Journal of Dairy Science. 108(1). 760–772. 3 indexed citations
3.
4.
Zhang, Éric, Jin Choul Chai, Amy Deik, et al.. (2021). Plasma Lipidomic Profiles and Risk of Diabetes: 2 Prospective Cohorts of HIV-Infected and HIV-Uninfected Individuals. The Journal of Clinical Endocrinology & Metabolism. 106(4). e999–e1010. 17 indexed citations
5.
Zhang, Éric, et al.. (2021). Needs assessment of current palliative care education in U.S. hematology/oncology fellowship programs. Supportive Care in Cancer. 29(8). 4285–4293. 7 indexed citations
6.
Qiao, Aijun, Junlan Zhou, Shiyue Xu, et al.. (2021). Sam68 promotes hepatic gluconeogenesis via CRTC2. Nature Communications. 12(1). 3340–3340. 23 indexed citations
7.
Biondetti, Pierpaolo, Márk Vangel, Bruce R. Rosen, et al.. (2021). PET/MRI assessment of lung nodules in primary abdominal malignancies: sensitivity and outcome analysis. European Journal of Nuclear Medicine and Molecular Imaging. 48(6). 1976–1986. 22 indexed citations
8.
Liu, Yang, Jianxin Deng, Wenxia Ma, et al.. (2021). Ablation of lncRNA Miat attenuates pathological hypertrophy and heart failure. Theranostics. 11(16). 7995–8007. 41 indexed citations
9.
Choueiri, Toni K., Piotr Tomczak, Se Hoon Park, et al.. (2021). Pembrolizumab versus placebo as post-nephrectomy adjuvant therapy for patients with renal cell carcinoma: Randomized, double-blind, phase III KEYNOTE-564 study.. Journal of Clinical Oncology. 39(18_suppl). LBA5–LBA5. 26 indexed citations
10.
Wu, Markus, Éric Zhang, Matthew R. Strickland, et al.. (2021). Clinical and Imaging Features of Non-Small Cell Lung Cancer with G12C KRAS Mutation. Cancers. 13(14). 3572–3572. 23 indexed citations
11.
Homayounieh, Fatemeh, Shadi Ebrahimian, Rosa Babaei, et al.. (2020). CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiology Cardiothoracic Imaging. 2(4). e200322–e200322. 42 indexed citations
12.
Dagogo‐Jack, Ibiayi, Anderson H. Kuo, Dexter P. Mendoza, et al.. (2020). Clinical and Imaging Features of Non–Small-Cell Lung Cancer in Young Patients. Clinical Lung Cancer. 22(1). 23–31. 14 indexed citations
13.
Homayounieh, Fatemeh, Éric Zhang, Rosa Babaei, et al.. (2020). Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS ONE. 15(9). e0239519–e0239519. 16 indexed citations
14.
Digumarthy, Subba R., Ramandeep Singh, Alexi Otrakji, et al.. (2020). Low contrast volume dual-energy CT of the chest: Quantitative and qualitative assessment. Clinical Imaging. 69. 305–310. 9 indexed citations
15.
Padole, Atul, Ramandeep Singh, Éric Zhang, et al.. (2020). Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer. Translational Lung Cancer Research. 9(4). 1441–1451. 9 indexed citations
16.
Mendoza, Dexter P., Éric Zhang, Matthew D. Gilman, et al.. (2020). Detection of Extrapulmonary Malignancy During Lung Cancer Screening: 5-Year Analysis at a Tertiary Hospital. Journal of the American College of Radiology. 17(12). 1609–1620. 3 indexed citations
17.
Fishman, Jay A., Matthew B. Roberts, Éric Zhang, et al.. (2020). Case 29-2020: A 66-Year-Old Man with Fever and Shortness of Breath after Liver Transplantation. New England Journal of Medicine. 383(12). 1168–1180. 4 indexed citations
18.
19.
Grob, Jean‐Jacques, René González, Nicole Basset‐Séguin, et al.. (2019). KEYNOTE-629: Phase 2 study of pembrolizumab for recurrent/metastatic or locally advanced unresectable cutaneous squamous cell carcinoma (cSCC).. Journal of Clinical Oncology. 37(15_suppl). TPS9598–TPS9598. 5 indexed citations
20.
Zhang, Éric, Claire Wartelle‐Bladou, Luigi Lepanto, et al.. (2015). Cost-utility analysis of nonalcoholic steatohepatitis screening. European Radiology. 25(11). 3282–3294. 53 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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