Junfeng Geng

460 total citations
10 papers, 366 citations indexed

About

Junfeng Geng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Junfeng Geng has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Junfeng Geng's work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Junfeng Geng is often cited by papers focused on RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Junfeng Geng collaborates with scholars based in China and United States. Junfeng Geng's co-authors include Dingzhong Hu, Yu Yang, Jicheng Tantai, Bo Ye, Jian Feng, Ming Cheng, Xiaoxiao Ge, Wang Li, Yinghua He and Jian Yu and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and The Annals of Thoracic Surgery.

In The Last Decade

Junfeng Geng

10 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junfeng Geng China	8	226	169	119	48	47	10	366
Huibiao Zhang China	8	113 0.5×	103 0.6×	172 1.4×	66 1.4×	46 1.0×	16	297
Kate Smith United Kingdom	5	99 0.4×	83 0.5×	165 1.4×	56 1.2×	30 0.6×	13	274
Georgios Deftereos United States	8	191 0.8×	190 1.1×	97 0.8×	72 1.5×	9 0.2×	17	344
Almedina Redzematovic United States	11	241 1.1×	200 1.2×	317 2.7×	85 1.8×	17 0.4×	23	369
Xun Hou China	13	140 0.6×	81 0.5×	87 0.7×	67 1.4×	45 1.0×	34	298
Jianhua Nie China	5	158 0.7×	167 1.0×	223 1.9×	44 0.9×	9 0.2×	10	292
Devyn Taylor Coskey United States	7	154 0.7×	110 0.7×	197 1.7×	55 1.1×	10 0.2×	13	233
Roberto Sánchez-Reyes Mexico	6	118 0.5×	98 0.6×	278 2.3×	228 4.8×	19 0.4×	8	368
Susan K. Roethke United States	5	121 0.5×	92 0.5×	234 2.0×	127 2.6×	16 0.3×	6	339

Countries citing papers authored by Junfeng Geng

Since Specialization

Citations

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

Fields of papers citing papers by Junfeng Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Geng

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

All Works

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10 of 10 papers shown

Li, Guopeng, et al.. (2020). Multi-Graph Constraint Matrix Factorization for Multi-view Image Clustering. 33. 415–418. 1 indexed citations

Pei, Yao-fei, Xiangnan Xu, Fuwei Wang, et al.. (2019). Methyl-CpG Binding Domain Protein 2 Inhibits the Malignant Characteristic of Lung Adenocarcinoma through the Epigenetic Modulation of 10 to 11 Translocation 1 and miR-200s. American Journal Of Pathology. 189(5). 1065–1076. 9 indexed citations

Tantai, Jicheng, Dingzhong Hu, Yu Yang, & Junfeng Geng. (2015). Combined identification of long non-coding RNA XIST and HIF1A-AS1 in serum as an effective screening for non-small cell lung cancer.. PubMed. 8(7). 7887–95. 113 indexed citations

Zhao, Yangxing, Feng Xue, Jinfeng Sun, et al.. (2014). Genome-wide methylation profiling of the different stages of hepatitis B virus-related hepatocellular carcinoma development in plasma cell-free DNA reveals potential biomarkers for early detection and high-risk monitoring of hepatocellular carcinoma. Clinical Epigenetics. 6(1). 30–30. 47 indexed citations

Ye, Bo, Ming Cheng, Xiaoxiao Ge, et al.. (2014). Factors that predict lymph node status in clinical stage T1aN0M0 lung adenocarcinomas. World Journal of Surgical Oncology. 12(1). 42–42. 20 indexed citations

Ye, Bo, Ming Cheng, Wang Li, et al.. (2014). Predictive Factors for Lymph Node Metastasis in Clinical Stage IA Lung Adenocarcinoma. The Annals of Thoracic Surgery. 98(1). 217–223. 77 indexed citations

Zhao, Yangxing, Hua‐Fu Zhou, Kelong Ma, et al.. (2013). Abnormal methylation of seven genes and their associations with clinical characteristics in early stage non-small cell lung cancer. Oncology Letters. 5(4). 1211–1218. 38 indexed citations

Ye, Bo, Jian Feng, Xufeng Pan, et al.. (2013). [Correlation analysis between imaging features and lymph node metastasis in T1a lung adenocarcinoma].. PubMed. 51(10). 904–7. 3 indexed citations

Lin, Qiang, Qianqian Peng, Feng Yao, et al.. (2012). A Classification Method Based on Principal Components of SELDI Spectra to Diagnose of Lung Adenocarcinoma. PLoS ONE. 7(3). e34457–e34457. 11 indexed citations

10.

Lin, Qiang, Junfeng Geng, Kelong Ma, et al.. (2009). RASSF1A, APC, ESR1, ABCB1 and HOXC9, but not p16INK4A, DAPK1, PTEN and MT1G genes were frequently methylated in the stage I non-small cell lung cancer in China. Journal of Cancer Research and Clinical Oncology. 135(12). 1675–1684. 47 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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