Feng Jiang

1.5k total citations
72 papers, 1.1k citations indexed

About

Feng Jiang is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Feng Jiang has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Surgery and 13 papers in Genetics. Recurrent topics in Feng Jiang's work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Genetic Associations and Epidemiology (7 papers). Feng Jiang is often cited by papers focused on Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Genetic Associations and Epidemiology (7 papers). Feng Jiang collaborates with scholars based in China, United States and Hong Kong. Feng Jiang's co-authors include Cheng Hu, Weiping Jia, Yuqian Bao, Rong Zhang, Danfeng Peng, Jing Yan, Hao Shen, Dandan Yan, Miao Chen and Feiyang Zhang and has published in prestigious journals such as ACS Nano, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Feng Jiang

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Jiang China 20 310 210 170 167 141 72 1.1k
Paula Peixoto Campos Brazil 21 309 1.0× 257 1.2× 68 0.4× 211 1.3× 203 1.4× 86 1.3k
Galina Shapiro Israel 19 391 1.3× 322 1.5× 190 1.1× 222 1.3× 109 0.8× 39 1.5k
Huiling Wu China 18 537 1.7× 212 1.0× 96 0.6× 124 0.7× 84 0.6× 45 1.4k
Murat Alper Türkiye 21 312 1.0× 484 2.3× 58 0.3× 135 0.8× 145 1.0× 113 1.8k
Junliang Chen China 23 440 1.4× 143 0.7× 45 0.3× 136 0.8× 45 0.3× 60 1.2k
Richard Viebahn Germany 23 248 0.8× 613 2.9× 79 0.5× 230 1.4× 56 0.4× 138 1.5k
Deting Xue China 25 481 1.6× 481 2.3× 64 0.4× 152 0.9× 75 0.5× 65 1.6k
Mani Alikhani United States 20 798 2.6× 107 0.5× 246 1.4× 92 0.6× 141 1.0× 32 1.9k
Danqing Min Australia 14 269 0.9× 114 0.5× 171 1.0× 82 0.5× 59 0.4× 28 922

Countries citing papers authored by Feng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jiang. A scholar is included among the top collaborators of Feng Jiang 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 Feng Jiang. Feng Jiang 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.
Zhao, Jian, Run Zhang, Yajing Zhang, et al.. (2024). Biobased Polybutyrolactam Nanofiber with Excellent Biodegradability and Cell Growth for Sustainable Healthcare Textiles. Biomacromolecules. 25(9). 5745–5757. 1 indexed citations
2.
Wang, Qiaojie, Jinlong Yu, Feng Jiang, et al.. (2023). Trends in microbiological epidemiology of orthopedic infections: a large retrospective study from 2008 to 2021. BMC Infectious Diseases. 23(1). 567–567. 11 indexed citations
3.
Yu, Jinlong, Mingzhang Li, Jin Wang, et al.. (2023). Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning. Virulence. 14(1). 2228657–2228657. 1 indexed citations
4.
Yu, Jinlong, et al.. (2023). Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface. Molecular Medicine. 29(1). 35–35. 9 indexed citations
5.
Yu, Jinlong, Yubo Zhang, Feng Jiang, et al.. (2022). A General Map of Transcriptional Expression of Virulence, Metabolism, and Biofilm Formation Adaptive Changes of Staphylococcus aureus When Exposed to Different Antimicrobials. Frontiers in Microbiology. 13. 825041–825041. 3 indexed citations
6.
Jiang, Feng, Jing Yan, Rong Zhang, et al.. (2021). Functional Characterization of a Novel Heterozygous Mutation in the Glucokinase Gene That Causes MODY2 in Chinese Pedigrees. Frontiers in Endocrinology. 12. 803992–803992. 2 indexed citations
7.
Li, Jin, Feng Jiang, Jing Yan, et al.. (2021). Mutations of NRG4 Contribute to the Pathogenesis of Nonalcoholic Fatty Liver Disease and Related Metabolic Disorders. Diabetes. 70(10). 2213–2224. 20 indexed citations
8.
Yu, Hong‐Ren, Tao Wang, Rong Zhang, et al.. (2019). Alcohol consumption and its interaction with genetic variants are strongly associated with the risk of type 2 diabetes: a prospective cohort study. Nutrition & Metabolism. 16(1). 64–64. 13 indexed citations
9.
Wang, Shiyun, Jie Wang, Rong Zhang, et al.. (2019). Association between serum haptoglobin and carotid arterial functions: usefulness of a targeted metabolomics approach. Cardiovascular Diabetology. 18(1). 8–8. 7 indexed citations
10.
Peng, Danfeng, Jie Wang, Rong Zhang, et al.. (2017). CDKAL1 rs7756992 is associated with diabetic retinopathy in a Chinese population with type 2 diabetes. Scientific Reports. 7(1). 8812–8812. 12 indexed citations
11.
Li, Qing, Haoyong Yu, Miao Chen, et al.. (2017). Waist circumference-dependent peripheral monocytes change after gliclazide treatment for Chinese type 2 diabetic patients. Journal of Huazhong University of Science and Technology [Medical Sciences]. 37(2). 204–209.
12.
Wang, Tao, Xiaojing Ma, Danfeng Peng, et al.. (2016). Effects of Obesity Related Genetic Variations on Visceral and Subcutaneous Fat Distribution in a Chinese Population. Scientific Reports. 6(1). 20691–20691. 48 indexed citations
13.
Peng, Danfeng, Jie Wang, Rong Zhang, et al.. (2015). C-reactive protein genetic variant is associated with diabetic retinopathy in Chinese patients with type 2 diabetes. BMC Endocrine Disorders. 15(1). 8–8. 13 indexed citations
14.
Wang, Shiyun, Rong Zhang, Guangxin Xiang, et al.. (2015). Mutation screening for thalassaemia in the Jino ethnic minority population of Yunnan Province, Southwest China. BMJ Open. 5(12). e010047–e010047. 5 indexed citations
15.
Ren, Wei, Feng Jiang, Jun Lü, et al.. (2014). CCAAT/Enhancer-Binding ProteinαIs a Crucial Regulator of Human Fat Mass and Obesity Associated Gene Transcription and Expression. BioMed Research International. 2014. 1–7. 22 indexed citations
16.
Chen, Minjie, Cheng Hu, R Zhang, et al.. (2014). Association of PAX4 genetic variants with oral antidiabetic drugs efficacy in Chinese type 2 diabetes patients. The Pharmacogenomics Journal. 14(5). 488–492. 12 indexed citations
17.
18.
Jiang, Feng, Cheng Hu, Weihui Yu, et al.. (2012). Genetic variants of LPIN1 indicate an association with Type 2 diabetes mellitus in a Chinese population. Diabetic Medicine. 30(1). 118–122. 8 indexed citations
19.
Wang, Congrong, Rong Zhang, Jingyi Lu, et al.. (2011). Phenotypic heterogeneity in Chinese patients with hepatocyte nuclear factor-1β mutations. Diabetes Research and Clinical Practice. 95(1). 119–124. 3 indexed citations
20.
Stoll, Matthew L., Karen Price, Christopher Silvin, Feng Jiang, & Jerrie Gavalchin. (2007). Immunization with peptides derived from the idiotypic region of lupus-associated autoantibodies delays the development of lupus nephritis in the (SWR × NZB)F1 murine model. Journal of Autoimmunity. 29(1). 30–37. 11 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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