Ruimei Ren

401 total citations
8 papers, 278 citations indexed

About

Ruimei Ren is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ruimei Ren has authored 8 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Ruimei Ren's work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (2 papers). Ruimei Ren is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (2 papers). Ruimei Ren collaborates with scholars based in China. Ruimei Ren's co-authors include Minghuan Li, Jianbin Li, Renben Wang, Jinming Yu, Baosheng Li, Li Ren Kong, Yong Yin, Xindong Sun, Shuanghu Yuan and Chengli Li and has published in prestigious journals such as Journal of Magnetic Resonance Imaging, Journal of Vascular and Interventional Radiology and CardioVascular and Interventional Radiology.

In The Last Decade

Ruimei Ren

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruimei Ren China 6 205 119 87 56 52 8 278
Guobin Song United States 7 266 1.3× 51 0.4× 70 0.8× 65 1.2× 160 3.1× 11 388
Mădălina Grigoroiu France 11 282 1.4× 44 0.4× 18 0.2× 53 0.9× 104 2.0× 48 337
Hisashi Matsuoka Japan 9 248 1.2× 41 0.3× 25 0.3× 56 1.0× 89 1.7× 36 327
Teboh Roland United States 9 124 0.6× 183 1.5× 176 2.0× 57 1.0× 44 0.8× 17 324
Emmanuel Brian France 11 261 1.3× 40 0.3× 22 0.3× 42 0.8× 114 2.2× 46 312
Jakub Cvek Czechia 13 119 0.6× 147 1.2× 105 1.2× 46 0.8× 75 1.4× 63 571
Danjouma Cheufou Germany 10 229 1.1× 37 0.3× 41 0.5× 72 1.3× 73 1.4× 23 295
Carla M. Lange United States 10 256 1.2× 75 0.6× 53 0.6× 85 1.5× 27 0.5× 18 331
Harijati Versmessen Belgium 7 241 1.2× 108 0.9× 200 2.3× 48 0.9× 52 1.0× 11 327
Nicolas Péguret Switzerland 9 202 1.0× 128 1.1× 209 2.4× 22 0.4× 13 0.3× 22 306

Countries citing papers authored by Ruimei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ruimei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruimei Ren

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

All Works

8 of 8 papers shown
1.
Liu, Zengjun, et al.. (2016). MRI‐guided celiac plexus neurolysis for pancreatic cancer pain: Efficacy and safety. Journal of Magnetic Resonance Imaging. 44(4). 923–928. 15 indexed citations
2.
Ren, Ruimei, et al.. (2015). Diffusion‐weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy. Journal of Magnetic Resonance Imaging. 42(3). 779–787. 47 indexed citations
3.
Ren, Ruimei, et al.. (2014). MR Imaging–Guided Percutaneous Cryotherapy for Lung Tumors: Initial Experience. Journal of Vascular and Interventional Radiology. 25(9). 1456–1462. 15 indexed citations
4.
Li, Chengli, Ming Liu, Tingyong Fan, et al.. (2014). Diagnostic Accuracy of MRI-guided Percutaneous Transthoracic Needle Biopsy of Solitary Pulmonary Nodules. CardioVascular and Interventional Radiology. 38(2). 416–421. 11 indexed citations
5.
Zhang, Pinliang, et al.. (2014). [Correlations between MRI apparent diffusion coefficient and histological grade and molecular biology of breast invasive ductal carcinoma].. PubMed. 36(8). 606–11. 1 indexed citations
6.
Yuan, Shuanghu, Xindong Sun, Minghuan Li, et al.. (2007). A Randomized Study of Involved-Field Irradiation Versus Elective Nodal Irradiation in Combination With Concurrent Chemotherapy for Inoperable Stage III Nonsmall Cell Lung Cancer. American Journal of Clinical Oncology. 30(3). 239–244. 163 indexed citations
7.
Sun, Xindong, Jinming Yu, Xiaoli Fan, et al.. (2006). [Randomized clinical study of surgery versus radiotherapy alone in the treatment of resectable esophageal cancer in the chest].. PubMed. 28(10). 784–7. 25 indexed citations
8.
Li, Wanlong, et al.. (2004). Value of CT on defining the gross tumor volume of non-small cell lung cancer. Zhonghua fangshe zhongliuxue zazhi. 13(4). 294–296. 1 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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