Ruohua Chen

1.3k total citations
63 papers, 878 citations indexed

About

Ruohua Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ruohua Chen has authored 63 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 31 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Oncology. Recurrent topics in Ruohua Chen's work include Medical Imaging Techniques and Applications (22 papers), Radiopharmaceutical Chemistry and Applications (17 papers) and Prostate Cancer Treatment and Research (17 papers). Ruohua Chen is often cited by papers focused on Medical Imaging Techniques and Applications (22 papers), Radiopharmaceutical Chemistry and Applications (17 papers) and Prostate Cancer Treatment and Research (17 papers). Ruohua Chen collaborates with scholars based in China, Switzerland and Austria. Ruohua Chen's co-authors include Gang Huang, Jianjun Liu, Xiang Zhou, Caiguo Huang, Binghua Jiao, Jianjun Liu, Xiaoyu Liu, Gang Huang, Xiang Zhou and Lianghua Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and British Journal of Cancer.

In The Last Decade

Ruohua Chen

57 papers receiving 869 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruohua Chen China 19 267 266 256 190 181 63 878
Shaolei Li China 20 392 1.5× 560 2.1× 212 0.8× 325 1.7× 288 1.6× 83 1.3k
Sarah Sarkar United States 12 486 1.8× 137 0.5× 124 0.5× 356 1.9× 268 1.5× 13 980
Yang Dong China 15 439 1.6× 170 0.6× 59 0.2× 152 0.8× 152 0.8× 60 913
Akihito Nishioka Japan 19 265 1.0× 213 0.8× 260 1.0× 242 1.3× 354 2.0× 88 1.1k
Jae Hyuck Choi South Korea 15 221 0.8× 156 0.6× 178 0.7× 171 0.9× 215 1.2× 37 913
Zhe Yang China 15 352 1.3× 486 1.8× 97 0.4× 406 2.1× 179 1.0× 48 880
Kiyoshi Koshida Japan 19 502 1.9× 399 1.5× 103 0.4× 218 1.1× 183 1.0× 80 1.2k
Constantin Ștefani Romania 12 673 2.5× 222 0.8× 66 0.3× 320 1.7× 320 1.8× 38 1.2k
R. Christopher Harmon United States 11 434 1.6× 149 0.6× 147 0.6× 358 1.9× 136 0.8× 13 1.1k
Jung‐Hyun Yang South Korea 15 375 1.4× 140 0.5× 109 0.4× 242 1.3× 227 1.3× 18 918

Countries citing papers authored by Ruohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ruohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruohua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruohua Chen. A scholar is included among the top collaborators of Ruohua Chen 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 Ruohua Chen. Ruohua Chen 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.
Chen, Ruohua, Yining Wang, Liang Dong, et al.. (2025). Beyond PSMA: The essential complementary role of MRI in staging prostate cancer with Low-PSMA expression phenotypes. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 1902–1912.
2.
Wang, Wei, Yining Wang, Liang Dong, et al.. (2025). The clinical utility of total-body [68 Ga]Ga-PSMA-11 PET/CT in prostate cancer: identifying extra-regional bone metastases and informing treatment strategies. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 1406–1418.
3.
Li, Wenbo, Zhenxing Huang, Zixiang Chen, et al.. (2024). Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images. EJNMMI Physics. 11(1). 92–92.
4.
Chen, Ruohua, et al.. (2024). Current progress and future perspectives in total‐body positron emission tomography/computed tomography. Part II: Clinical applications. SHILAP Revista de lepidopterología. 2(3). 328–338. 1 indexed citations
5.
Dong, Liang, Lian Xu, Lianghua Li, et al.. (2024). Comparison of clinical performance between late and standard total-body [68 Ga]Ga-PSMA-11 in biochemical recurrent prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 52(4). 1249–1256. 2 indexed citations
6.
Chen, Ruohua, Yan‐Miao Huo, Xiuying Xiao, et al.. (2023). First Total-Body Kinetic Modeling and Parametric Imaging of Dynamic68Ga-FAPI-04 PET in Pancreatic and Gastric Cancer. Journal of Nuclear Medicine. 64(6). 960–967. 23 indexed citations
7.
8.
Li, Jiajin, Ruohua Chen, Yumei Chen, et al.. (2023). Relationship between the expression of PD-L1 and 18F-FDG uptake in pancreatic ductal adenocarcinoma. British Journal of Cancer. 129(3). 541–550. 2 indexed citations
9.
10.
Chen, Ruohua, Yumei Chen, Lianghua Li, et al.. (2022). The feasibility of ultra-early and fast total‑body [68 Ga]Ga-FAPI-04 PET/CT scan. European Journal of Nuclear Medicine and Molecular Imaging. 50(3). 661–666. 9 indexed citations
11.
Chen, Ruohua, et al.. (2022). Tumor-to-blood ratio for assessment of fibroblast activation protein receptor density in pancreatic cancer using [68Ga]Ga-FAPI-04. European Journal of Nuclear Medicine and Molecular Imaging. 50(3). 929–936. 18 indexed citations
12.
Wu, Jian, Lian Xu, Yinjie Zhu, et al.. (2021). The Heterogeneous Metabolic Patterns of Ganglia in 68Ga-PSMA, 11C-choline, and 18F-FDG PET/CT in Prostate Cancer Patients. Frontiers in Oncology. 11. 666308–666308. 2 indexed citations
13.
Xu, Lian, et al.. (2021). Use of 68Ga-PSMA-11 and 18F-FDG PET-CT Dual-Tracer to Differentiate Between Lymph Node Metastases and Ganglia. Frontiers in Oncology. 11. 646110–646110. 5 indexed citations
14.
Wen, Jun, Yinjie Zhu, Lianghua Li, et al.. (2021). Determination of optimal 68 Ga-PSMA PET/CT imaging time in prostate cancers by total-body dynamic PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 49(6). 2086–2095. 29 indexed citations
15.
Chen, Ruohua, et al.. (2020). Delayed post-diuretic 18F-FDG PET/CT for preoperative evaluation of renal pelvic cancer. Journal of Cancer. 11(13). 3745–3750. 2 indexed citations
16.
Chen, Ruohua, et al.. (2018). Preoperative PET/CT 18F-FDG Standardized Uptake by Lymph Nodes as a Significant Prognostic Factor in Patients with Colorectal Cancer. Contrast Media & Molecular Imaging. 2018. 1–7. 10 indexed citations
17.
Chen, Ruohua, Xiang Zhou, Jianjun Liu, & Gang Huang. (2016). Relationship Between 18F-FDG PET/CT Findings and HER2 Expression in Gastric Cancer. Journal of Nuclear Medicine. 57(7). 1040–1044. 41 indexed citations
18.
19.
Zhou, Xiang, Ruohua Chen, Zhenhai Yu, et al.. (2015). Dichloroacetate restores drug sensitivity in paclitaxel-resistant cells by inducing citric acid accumulation. Molecular Cancer. 14(1). 63–63. 52 indexed citations
20.
Zhu, Tianyi, Xinji Zhang, Hui Li, et al.. (2013). Endobronchial ultrasound guided-transbronchial needle aspiration vs. conventional transbronchial needle aspiration in the diagnosis of mediastinal masses: A meta-analysis. Molecular and Clinical Oncology. 2(1). 151–155. 15 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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