Fengming Gong

480 total citations
20 papers, 401 citations indexed

About

Fengming Gong is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Fengming Gong has authored 20 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Spectroscopy. Recurrent topics in Fengming Gong's work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Ubiquitin and proteasome pathways (4 papers). Fengming Gong is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Ubiquitin and proteasome pathways (4 papers). Fengming Gong collaborates with scholars based in China. Fengming Gong's co-authors include Guobo Shen, Xingchen Peng, Yuwei Zhao, Yuquan Wei, Shufang Liang, Yuhuan Xu, Aiping Tong, Qingping Liu, Zhizhong Xu and Xinyu Zhao and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Controlled Release.

In The Last Decade

Fengming Gong

20 papers receiving 397 citations

Peers

Fengming Gong

ONCOL

IMMUN

Mustafa A. Barbhuiya India

Rukh Yusuf United States

Alok Mishra India

Huijing Yin China

Huiyin Lee Singapore

Zhengfeng Wang China

Henrique O. Duarte Portugal

Yanfang Yang China

J. Catterall United Kingdom

Ayako Kim Japan

Mustafa A. Barbhuiya India

Fengming Gong

244 ×0.9

76 ×0.7

106 ×1.3

ONCOL

25 ×0.5

46 ×1.1

IMMUN

Citations per year, relative to Fengming Gong Fengming Gong (= 1×) peers Mustafa A. Barbhuiya

Countries citing papers authored by Fengming Gong

Since Specialization

Citations

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

Fields of papers citing papers by Fengming Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengming Gong

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

All Works

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20 of 20 papers shown

Ye, Lu, Danqing Wang, Qingli Li, et al.. (2023). Chemotherapy effect on myocardial fibrosis markers in patients with gynecologic cancer and low cardiovascular risk. Frontiers in Oncology. 13. 1173838–1173838. 2 indexed citations

Hu, Weiqiang, et al.. (2022). Microstructure refinement and second phase particle regulation of Mo−Y2O3 alloys by minor TiC additive. International Journal of Minerals Metallurgy and Materials. 29(11). 2012–2019. 6 indexed citations

Gong, Fengming, et al.. (2021). Choriocarcinoma misdiagnosed as cerebral hemangioma: A case report. World Journal of Clinical Cases. 9(30). 9174–9181. 2 indexed citations

Peng, Xingchen, Fengming Gong, Min Ren, et al.. (2016). Proteomic analysis of docetaxel resistance in human nasopharyngeal carcinoma cells using the two-dimensional gel electrophoresis method. Anti-Cancer Drugs. 27(8). 748–755. 7 indexed citations

Luo, Can, Guobo Shen, Ning Liu, et al.. (2014). Ammonia Drives Dendritic Cells into Dysfunction. The Journal of Immunology. 193(3). 1080–1089. 34 indexed citations

He, Zhiyao, Xiawei Wei, Min Luo, et al.. (2013). Folate-linked lipoplexes for short hairpin RNA targeting claudin-3 delivery in ovarian cancer xenografts. Journal of Controlled Release. 172(3). 679–689. 39 indexed citations

Gong, Fengming, Xingchen Peng, Can Luo, et al.. (2013). Cathepsin B as a potential prognostic and therapeutic marker for human lung squamous cell carcinoma. Molecular Cancer. 12(1). 125–125. 46 indexed citations

Li, Hongbin, Xinyu Zhao, Yongkang Wu, et al.. (2013). Complementary serum proteomic analysis of autoimmune hepatitis in mice and patients. Journal of Translational Medicine. 11(1). 146–146. 14 indexed citations

Gong, Fengming, Xingchen Peng, Benxu Tan, et al.. (2011). Comparative proteomic analysis of irinotecan-sensitive colorectal carcinoma cell line and its chemoresistant counterpart. Anti-Cancer Drugs. 22(6). 500–506. 7 indexed citations

10.

Peng, Xingchen, Meng Qiu, Benxu Tan, et al.. (2011). Different combination schedules of gemcitabine with endostar affect antitumor efficacy. Cancer Chemotherapy and Pharmacology. 69(1). 239–246. 11 indexed citations

11.

Peng, Xingchen, Fengming Gong, Yuwei Zhao, et al.. (2011). Comparative Proteomic Approach Identifies Pkm2 and Cofilin-1 as Potential Diagnostic, Prognostic and Therapeutic Targets for Pulmonary Adenocarcinoma. PLoS ONE. 6(11). e27309–e27309. 54 indexed citations

12.

Peng, Xingchen, Fengming Gong, Gang Xie, et al.. (2011). A proteomic investigation into adriamycin chemo-resistance of human leukemia K562 cells. Molecular and Cellular Biochemistry. 351(1-2). 233–241. 11 indexed citations

13.

Gong, Fengming, Xingchen Peng, Zhi Zeng, et al.. (2010). Proteomic analysis of cisplatin resistance in human ovarian cancer using 2-DE method. Molecular and Cellular Biochemistry. 348(1-2). 141–147. 33 indexed citations

14.

Peng, Xingchen, Fengming Gong, Wei Meng, et al.. (2010). Proteomic analysis of cell lines to identify the irinotecan resistance proteins. Journal of Biosciences. 35(4). 557–564. 7 indexed citations

15.

Liang, Shufang, Yuhuan Xu, Guobo Shen, et al.. (2009). Quantitative protein expression profiling of 14‐3‐3 isoforms in human renal carcinoma shows 14‐3‐3 epsilon is involved in limitedly increasing renal cell proliferation. Electrophoresis. 30(23). 4152–4162. 46 indexed citations

16.

Xu, Yuhuan, Shufang Liang, Guobo Shen, et al.. (2009). Application of the SILAC (stable isotope labelling with amino acids in cell culture) technique in quantitative comparisons for tissue proteome expression. Biotechnology and Applied Biochemistry. 54(1). 11–20. 16 indexed citations

17.

Liang, Shufang, Guobo Shen, Qingping Liu, et al.. (2009). Isoform‐specific expression and characterization of 14‐3‐3 proteins in human glioma tissues discovered by stable isotope labeling with amino acids in cell culture‐based proteomic analysis. PROTEOMICS - CLINICAL APPLICATIONS. 3(6). 743–753. 32 indexed citations

18.

Liang, Shufang, Fengming Gong, Xinyu Zhao, et al.. (2008). Prokaryotic expression, purification of a new tumor-relative protein FAM92A1-289 and its characterization in renal cell carcinoma. Cancer Letters. 276(1). 81–87. 11 indexed citations

19.

Liang, Shufang, Yuhuan Xu, Guobo Shen, et al.. (2008). Gene expression and methylation status of 14‐3‐3σ in human renal carcinoma tissues. IUBMB Life. 60(8). 534–540. 17 indexed citations

20.

Gong, Fengming, Shufang Liang, Chunmei He, et al.. (2008). The Optimized Conditions of Two Dimensional Polyacrylamide Gel Electrophoresis for Serum Proteomics. Journal of Proteomics & Bioinformatics. 1(5). 250–257. 6 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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