Runhua Feng

697 total citations
25 papers, 515 citations indexed

About

Runhua Feng is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Runhua Feng has authored 25 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Cancer Research and 8 papers in Molecular Biology. Recurrent topics in Runhua Feng's work include Gastric Cancer Management and Outcomes (13 papers), Gastrointestinal Tumor Research and Treatment (8 papers) and MicroRNA in disease regulation (7 papers). Runhua Feng is often cited by papers focused on Gastric Cancer Management and Outcomes (13 papers), Gastrointestinal Tumor Research and Treatment (8 papers) and MicroRNA in disease regulation (7 papers). Runhua Feng collaborates with scholars based in China, United States and Macao. Runhua Feng's co-authors include Min Yan, Zhenggang Zhu, Bingya Liu, Liping Su, Beiqin Yu, Xuehua Chen, Jianfang Li, Yingyan Yu, Qu Cai and Chen Li and has published in prestigious journals such as PLoS ONE, Cancer Research and European Journal of Cancer.

In The Last Decade

Runhua Feng

25 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runhua Feng China 11 321 302 106 95 84 25 515
Zuoyi Jiao China 13 192 0.6× 297 1.0× 129 1.2× 116 1.2× 97 1.2× 41 543
Mingming Nie China 10 93 0.3× 197 0.7× 151 1.4× 150 1.6× 109 1.3× 29 431
Zeyin Rong China 12 450 1.4× 548 1.8× 115 1.1× 66 0.7× 60 0.7× 16 664
Clarence Eng United States 8 158 0.5× 131 0.4× 79 0.7× 130 1.4× 49 0.6× 16 342
Concepción Muñoz Spain 9 224 0.7× 341 1.1× 81 0.8× 220 2.3× 61 0.7× 13 533
Sumi Yun South Korea 12 150 0.5× 190 0.6× 119 1.1× 215 2.3× 64 0.8× 25 469
Ryosuke Tajiri Japan 8 65 0.2× 127 0.4× 93 0.9× 104 1.1× 61 0.7× 27 311
Guosheng Lin China 11 112 0.3× 276 0.9× 109 1.0× 94 1.0× 57 0.7× 25 555
Gian Luca Rampioni Vinciguerra Italy 12 107 0.3× 238 0.8× 134 1.3× 181 1.9× 58 0.7× 26 452
Karla Alvarez United States 11 205 0.6× 277 0.9× 235 2.2× 84 0.9× 34 0.4× 13 424

Countries citing papers authored by Runhua Feng

Since Specialization
Citations

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

Fields of papers citing papers by Runhua Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runhua Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Runhua Feng. A scholar is included among the top collaborators of Runhua Feng 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 Runhua Feng. Runhua Feng 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.
Miao, Ying, Runhua Feng, Rui Guo, et al.. (2023). Value of68Ga-FAPI-04 and18F-FDG PET/CT in Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. Journal of Nuclear Medicine. 65(2). 213–220. 10 indexed citations
2.
Yang, Xiao, Yanan Zheng, Runhua Feng, et al.. (2022). Feasibility of Preserving No. 5 and No. 6 Lymph Nodes in Gastrectomy of Proximal Gastric Adenocarcinoma: A Retrospective Analysis of 395 Patients. Frontiers in Oncology. 12. 810509–810509. 1 indexed citations
3.
Miao, Ying, Runhua Feng, Rui Guo, et al.. (2022). Utility of [68Ga]FAPI-04 and [18F]FDG dual-tracer PET/CT in the initial evaluation of gastric cancer. European Radiology. 33(6). 4355–4366. 31 indexed citations
4.
Lu, Sheng, Zhongyin Yang, Chao Yan, et al.. (2022). A Phase III Trial of Neoadjuvant Intraperitoneal and Systemic Chemotherapy for Gastric Cancer with Peritoneal Metastasis. Future Oncology. 18(10). 1175–1183. 12 indexed citations
5.
Lu, Sheng, Zhongyin Yang, Chao Yan, et al.. (2021). A Randomized Controlled Trial to Evaluate Omentum-Preserving Gastrectomy for Patients with T1–T3 Gastric Cancer. Future Oncology. 17(25). 3301–3307. 2 indexed citations
6.
Xu, Wei, Lingquan Wang, Changyu He, et al.. (2021). Prediction Model of Tumor Regression Grade for Advanced Gastric Cancer After Preoperative Chemotherapy. Frontiers in Oncology. 11. 607640–607640. 12 indexed citations
7.
Xu, Wei, Lingquan Wang, Chao Yan, et al.. (2021). Neoadjuvant Chemotherapy Versus Direct Surgery for Locally Advanced Gastric Cancer With Serosal Invasion (cT4NxM0): A Propensity Score-Matched Analysis. Frontiers in Oncology. 11. 718556–718556. 7 indexed citations
8.
Shi, Min, Zhongyin Yang, Sheng Lu, et al.. (2021). Oxaliplatin plus S-1 with intraperitoneal paclitaxel for the treatment of Chinese advanced gastric cancer with peritoneal metastases. BMC Cancer. 21(1). 1344–1344. 13 indexed citations
9.
Xu, Wei, Lingquan Wang, Changyu He, et al.. (2021). Is D2 Lymphadenectomy Alone Suitable for Gastric Cancer With Bulky N2 and/or Para-Aortic Lymph Node Metastases After Preoperative Chemotherapy?. Frontiers in Oncology. 11. 709617–709617. 3 indexed citations
10.
11.
Feng, Runhua, Yuling Wang, Vijaya Ramachandran, et al.. (2020). Characterization of novel neutralizing mouse monoclonal antibody JM1-24-3 developed against MUC18 in metastatic melanoma. Journal of Experimental & Clinical Cancer Research. 39(1). 273–273. 6 indexed citations
12.
13.
Feng, Runhua, Jianfang Li, Birendra Kumar Sah, et al.. (2019). Overexpression of CrkL as a novel biomarker for poor prognosis in gastric cancer. Cancer Biomarkers. 26(2). 131–138. 3 indexed citations
14.
Feng, Runhua, Birendra Kumar Sah, Jianfang Li, et al.. (2018). miR-126: An indicator of poor prognosis and recurrence in histologically lymph node-negative gastric cancer. Cancer Biomarkers. 23(3). 437–445. 8 indexed citations
15.
Feng, Runhua, Sheng Lu, Birendra Kumar Sah, et al.. (2018). Down-regulated serum miR-126 is associated with aggressive progression and poor prognosis of gastric cancer. Cancer Biomarkers. 22(1). 119–126. 10 indexed citations
16.
Li, Pu, Xuehua Chen, Liping Su, et al.. (2013). Epigenetic Silencing of miR-338-3p Contributes to Tumorigenicity in Gastric Cancer by Targeting SSX2IP. PLoS ONE. 8(6). e66782–e66782. 63 indexed citations
17.
Li, Ming, Jianpeng Gao, Runhua Feng, et al.. (2013). Generation of Monoclonal Antibody MS17-57 Targeting Secreted Alkaline Phosphatase Ectopically Expressed on the Surface of Gastrointestinal Cancer Cells. PLoS ONE. 8(10). e77398–e77398. 5 indexed citations
18.
Li, Jianfang, et al.. (2012). Abstract 4141: The role of microRNA in gastric cancer. Cancer Research. 72(8_Supplement). 4141–4141. 1 indexed citations
19.
Feng, Runhua, Xuehua Chen, Yingyan Yu, et al.. (2010). miR-126 functions as a tumour suppressor in human gastric cancer. Cancer Letters. 298(1). 50–63. 242 indexed citations
20.
Feng, Runhua. (2002). Inhibition of human telomerase in MKN-45 cell line by antisense hTR expression vector induces cell apoptosis and growth arrest. World Journal of Gastroenterology. 8(3). 436–436. 16 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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