Monica Cheng

519 total citations
28 papers, 353 citations indexed

About

Monica Cheng is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Monica Cheng has authored 28 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 7 papers in Oncology. Recurrent topics in Monica Cheng's work include Pancreatic and Hepatic Oncology Research (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Monica Cheng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Monica Cheng collaborates with scholars based in United States, Italy and Spain. Monica Cheng's co-authors include Rodolfo Montironi, Antonio López-Beltrán, Kelly E. Craven, Murray Korc, Jesse Gore, Marina Scarpelli, Nicola Battelli, Alessia Cimadamore, Matteo Santoni and Feng‐Ming Kong and has published in prestigious journals such as Bulletin of the American Meteorological Society, Cancer Letters and American Journal of Roentgenology.

In The Last Decade

Monica Cheng

27 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Cheng United States 11 126 122 84 82 58 28 353
Jae‐Uk Jeong South Korea 13 126 1.0× 158 1.3× 83 1.0× 44 0.5× 29 0.5× 50 444
Wenxi Yu China 13 166 1.3× 122 1.0× 22 0.3× 198 2.4× 94 1.6× 38 478
John D. Karalis United States 11 113 0.9× 217 1.8× 31 0.4× 117 1.4× 89 1.5× 31 467
Rafael López Castro Spain 12 258 2.0× 296 2.4× 37 0.4× 111 1.4× 24 0.4× 71 698
Kun‐Chieh Chen Taiwan 9 248 2.0× 177 1.5× 60 0.7× 149 1.8× 82 1.4× 15 458
Shoji Hanada Japan 11 93 0.7× 73 0.6× 11 0.1× 84 1.0× 35 0.6× 34 290
Christina Maria Lutz Denmark 11 122 1.0× 120 1.0× 105 1.3× 190 2.3× 163 2.8× 24 600
Takahiro Yoshioka Japan 13 136 1.1× 175 1.4× 35 0.4× 167 2.0× 62 1.1× 33 485
Liyuan Yin China 10 50 0.4× 117 1.0× 7 0.1× 74 0.9× 40 0.7× 28 344
Fu Jin China 11 108 0.9× 41 0.3× 108 1.3× 32 0.4× 22 0.4× 48 302

Countries citing papers authored by Monica Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Monica Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Cheng. A scholar is included among the top collaborators of Monica Cheng 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 Monica Cheng. Monica Cheng 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.
Cheng, Monica, et al.. (2025). Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?. Cancer Imaging. 25(1). 38–38.
2.
Li, Ruirui, Xianfeng Tang, Danqing Zhang, et al.. (2024). LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. 1380–1393. 1 indexed citations
3.
Dai, Enyan, Limeng Cui, Zhengyang Wang, et al.. (2023). A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368–379. 5 indexed citations
4.
Wang, Zhengyang, Qingyu Yin, Danqing Zhang, et al.. (2023). Exploiting Intent Evolution in E-commercial Query Recommendation. 5162–5173. 2 indexed citations
5.
Kwak, Min Ji, Monica Cheng, Parag Goyal, et al.. (2022). Medication Complexity Among Older Adults with HF: How Can We Assess Better?. Drugs & Aging. 39(11). 851–861. 3 indexed citations
6.
7.
Zhang, Hong, Weili Wang, Wenhu Pi, et al.. (2021). Genetic Variations in the Transforming Growth Factor-β1 Pathway May Improve Predictive Power for Overall Survival in Non-small Cell Lung Cancer. Frontiers in Oncology. 11. 599719–599719. 5 indexed citations
8.
Green, Mark A., Carla J. Mathias, Nathaniel J. Smith, Monica Cheng, & Gary D. Hutchins. (2021). In Vivo Quantitative Whole-Body Perfusion Imaging Using Radiolabeled Copper(II) Bis(Thiosemicarbazone) Complexes and Positron Emission Tomography (PET). Methods in molecular biology. 2393. 751–771. 2 indexed citations
9.
Cheng, Monica, Shruti Jolly, William Quarshie, et al.. (2019). Modern Radiation Further Improves Survival in Non-Small Cell Lung Cancer: An Analysis of 288,670 Patients. PMC. 2 indexed citations
10.
Cheng, Monica, et al.. (2019). Primary midgut volvulus in a patient with Marfan syndrome. Journal of Surgical Case Reports. 2019(2). rjz031–rjz031. 2 indexed citations
11.
Luchini, Claudio, Nicola Veronese, Alessia Nottegar, et al.. (2018). Extranodal extension of nodal metastases is a poor prognostic moderator in non-small cell lung cancer: a meta-analysis. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 472(6). 939–947. 26 indexed citations
12.
Cimadamore, Alessia, Monica Cheng, Matteo Santoni, et al.. (2018). New Prostate Cancer Targets for Diagnosis, Imaging, and Therapy: Focus on Prostate-Specific Membrane Antigen. Frontiers in Oncology. 8. 653–653. 60 indexed citations
13.
Cheng, Monica, Shruti Jolly, William Quarshie, et al.. (2018). Modern Radiation Further Improves Survival in Non-Small Cell Lung Cancer: An Analysis of 288,670 Patients. Journal of Cancer. 10(1). 168–177. 29 indexed citations
14.
Kong, Feng‐Ming, Ling Li, Weili Wang, et al.. (2018). Greater reduction in mid-treatment FDG-PET volume may be associated with worse survival in non-small cell lung cancer. Radiotherapy and Oncology. 132. 241–249. 21 indexed citations
15.
Wei, Yuchun, Yong Huang, Pingping Song, et al.. (2018). Relationship Between Clinicopathological Characteristics and PET/CT Uptake in Esophageal Squamous Cell Carcinoma: [18F]Alfatide versus [18F]FDG. Molecular Imaging and Biology. 21(1). 175–182. 12 indexed citations
16.
López-Beltrán, Antonio, Rodolfo Montironi, Monica Cheng, et al.. (2017). Liquid Biopsies in the Management of Bladder Cancer: Next-Generation Biomarkers for Diagnosis, Surveillance, and Treatment-Response Prediction. Critical Reviews™ in Oncogenesis. 22(5-6). 389–401. 8 indexed citations
17.
Gore, Jesse, et al.. (2016). Combined targeting of TGF-beta, EGFR and HER2 suppresses lymphangiogenesis and metastasis in a pancreatic cancer model. PMC. 1 indexed citations
18.
Gore, Jesse, et al.. (2016). Combined targeting of TGF-β, EGFR and HER2 suppresses lymphangiogenesis and metastasis in a pancreatic cancer model. Cancer Letters. 379(1). 143–153. 35 indexed citations
19.
Zheng, Suqin, Oscar W. Cummings, Romil Saxena, et al.. (2010). Clonality andTP53Mutation Analysis of Focal Nodular Hyperplasia of the Liver. American Journal of Clinical Pathology. 134(1). 65–70. 9 indexed citations
20.
Bresch, James F., Monica Cheng, John S. Kain, et al.. (1997). Summary of a mini-workshop on cumulus parameterization for mesoscale models. Bulletin of the American Meteorological Society. 78(3). 475–491. 34 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jae‐Uk Jeong Breakdown of academic impact, for papers by Wenxi Yu Breakdown of academic impact, for papers by John D. Karalis Breakdown of academic impact, for papers by Rafael López Castro Breakdown of academic impact, for papers by Kun‐Chieh Chen Breakdown of academic impact, for papers by Shoji Hanada Breakdown of academic impact, for papers by Christina Maria Lutz Breakdown of academic impact, for papers by Takahiro Yoshioka Breakdown of academic impact, for papers by Liyuan Yin Breakdown of academic impact, for papers by Fu Jin
Rankless by CCL
2026