Menghong Sun

4.2k total citations
78 papers, 2.0k citations indexed

About

Menghong Sun is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Menghong Sun has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 27 papers in Pulmonary and Respiratory Medicine and 26 papers in Oncology. Recurrent topics in Menghong Sun's work include Genetic factors in colorectal cancer (12 papers), RNA modifications and cancer (12 papers) and Cancer Genomics and Diagnostics (10 papers). Menghong Sun is often cited by papers focused on Genetic factors in colorectal cancer (12 papers), RNA modifications and cancer (12 papers) and Cancer Genomics and Diagnostics (10 papers). Menghong Sun collaborates with scholars based in China, United States and Japan. Menghong Sun's co-authors include Guosheng Yin, Ignacio I. Wistuba, Xiaoyan Zhou, Ming Tan, Dihua Yu, Carmen Behrens, Yawen Geng, Qi Qi, Zhen Chen and Qingyi Wei and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Menghong Sun

74 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menghong Sun China 25 1.1k 726 520 490 329 78 2.0k
Caigang Liu China 26 1.4k 1.3× 850 1.2× 877 1.7× 531 1.1× 324 1.0× 132 2.7k
Elaine T. Lam United States 18 621 0.6× 677 0.9× 528 1.0× 648 1.3× 255 0.8× 119 1.8k
Teruhiko Yoshida Japan 24 1.1k 1.0× 1.1k 1.5× 464 0.9× 974 2.0× 269 0.8× 54 2.2k
Rainer Engers Germany 30 1.6k 1.5× 842 1.2× 622 1.2× 582 1.2× 283 0.9× 67 2.8k
Meng Xu‐Welliver United States 24 860 0.8× 507 0.7× 321 0.6× 428 0.9× 153 0.5× 60 1.7k
Mona El‐Bahrawy United Kingdom 28 1.4k 1.4× 630 0.9× 627 1.2× 412 0.8× 374 1.1× 88 2.5k
Ricardo Costa United States 22 848 0.8× 1.1k 1.6× 540 1.0× 601 1.2× 204 0.6× 82 2.2k
Jiangchun Xu United States 22 1.2k 1.1× 429 0.6× 651 1.3× 769 1.6× 223 0.7× 27 2.3k
Wiam Bshara United States 25 811 0.8× 746 1.0× 402 0.8× 328 0.7× 147 0.4× 73 1.7k
Roman Nawroth Germany 24 985 0.9× 577 0.8× 476 0.9× 601 1.2× 321 1.0× 82 2.1k

Countries citing papers authored by Menghong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Menghong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menghong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Menghong Sun. A scholar is included among the top collaborators of Menghong Sun 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 Menghong Sun. Menghong Sun 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
4.
Li, Qian, Qian Zhao, Xiaoyan Zhang, et al.. (2023). Toward Professionalism of Biobanking in China: A Survey on Working Status, Career Development, Challenges, and Prospects of Biobankers. Biopreservation and Biobanking. 22(2). 139–145. 4 indexed citations
5.
Yu, Weiwei, Xiaolong Fu, Xu‐Wei Cai, Menghong Sun, & Yan‐Mei Guo. (2021). Identification of differentially expressed proteins in the locoregional recurrent esophageal squamous cell carcinoma by quantitative proteomics. Journal of Gastrointestinal Oncology. 12(3). 991–1006. 1 indexed citations
6.
Zhu, Xinyi, Tian Tian, Miao Ruan, et al.. (2018). Expression of DNA Damage Response Proteins and Associations with Clinicopathologic Characteristics in Chinese Familial Breast Cancer Patients with BRCA1/2 Mutations. Journal of Breast Cancer. 21(3). 297–297. 4 indexed citations
7.
Yu, Weiwei, Xi Yang, Li Chu, et al.. (2018). Prognostic value of EGFR family expression in lymph node-negative esophageal squamous cell carcinoma patients. Pathology - Research and Practice. 214(7). 1017–1023. 5 indexed citations
8.
Yu, Weiwei, Li Chu, Kuaile Zhao, et al.. (2017). A nomogram based on phosphorylated AKT1 for predicting locoregional recurrence in patients with oesophageal squamous cell carcinoma. Journal of Cancer. 8(18). 3755–3763. 3 indexed citations
9.
Jia, Ming, Yuan Xu, Meiling Zhu, et al.. (2016). The P38α rs3804451 Variant Predicts Chemotherapy Response and Survival of Patients with Non–Small Cell Lung Cancer Treated with Platinum-Based Chemotherapy. Translational Oncology. 9(6). 531–539. 4 indexed citations
10.
Wang, Xiaoyu, Yuanzhi Lao, Naihan Xu, et al.. (2015). Oblongifolin C inhibits metastasis by up-regulating keratin 18 and tubulins. Scientific Reports. 5(1). 10293–10293. 35 indexed citations
11.
Qi, Qi, Yawen Geng, Menghong Sun, et al.. (2015). Hyperfibrinogen Is Associated With the Systemic Inflammatory Response and Predicts Poor Prognosis in Advanced Pancreatic Cancer. Pancreas. 44(6). 977–982. 47 indexed citations
12.
Geng, Yawen, Qi Qi, Menghong Sun, et al.. (2015). Prognostic nutritional index predicts survival and correlates with systemic inflammatory response in advanced pancreatic cancer. European Journal of Surgical Oncology. 41(11). 1508–1514. 105 indexed citations
13.
Zhu, Zhengfei, Weiwei Yu, Xiaolong Fu, et al.. (2015). Phosphorylated AKT1 is associated with poor prognosis in esophageal squamous cell carcinoma. Journal of Experimental & Clinical Cancer Research. 34(1). 95–95. 21 indexed citations
14.
Zhao, Jing, Wenhua Li, Dan Zhu, et al.. (2013). Association of single nucleotide polymorphisms in MTHFR and ABCG2 with the different efficacy of first-line chemotherapy in metastatic colorectal cancer. Medical Oncology. 31(1). 802–802. 32 indexed citations
15.
Xiao, Xiuying, Lisha Wang, Ping Wei, et al.. (2013). Role of MUC20 overexpression as a predictor of recurrence and poor outcome in colorectal cancer. Journal of Translational Medicine. 11(1). 151–151. 45 indexed citations
16.
Wang, Mengyun, Ruoxin Zhang, Jing He, et al.. (2012). Potentially Functional Variants of PLCE1 Identified by GWASs Contribute to Gastric Adenocarcinoma Susceptibility in an Eastern Chinese Population. PLoS ONE. 7(3). e31932–e31932. 47 indexed citations
17.
Richards, Kristy L., Baili Zhang, Menghong Sun, et al.. (2010). Methylation of the candidate biomarker TCF21 is very frequent across a spectrum of early‐stage nonsmall cell lung cancers. Cancer. 117(3). 606–617. 55 indexed citations
18.
19.
Luo, Dingcun, et al.. (2004). [Clinical analysis and molecular genetic study of hereditary nonpolyposis colorectal cancer kindreds].. PubMed. 42(3). 158–62. 2 indexed citations
20.
Cai, Qi, et al.. (2000). Expression of two CD44 variant proteins (v3 and v6) in human colorectal carcinoma and its relevance for prognosis. World Journal of Gastroenterology. 6. 128–128. 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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