Bihua Feng

504 total citations
8 papers, 385 citations indexed

About

Bihua Feng is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Bihua Feng has authored 8 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Bihua Feng's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Autophagy in Disease and Therapy (1 paper). Bihua Feng is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Autophagy in Disease and Therapy (1 paper). Bihua Feng collaborates with scholars based in United States and China. Bihua Feng's co-authors include Jessica L. Fetterman, Naomi M. Hamburg, Robert M. Weisbrod, Rosa Bretón‐Romero, Monica Holbrook, Melissa G. Farb, Brittany Berk, Noyan Gokce, Nobuyuki Masaki and Monika Holbrook and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis and Journal of the American Heart Association.

In The Last Decade

Bihua Feng

8 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bihua Feng United States	7	156	117	88	78	55	8	385
Daria Skuratovskaia Russia	12	141 0.9×	101 0.9×	122 1.4×	50 0.6×	45 0.8×	30	366
Maria Vulf Russia	12	144 0.9×	91 0.8×	117 1.3×	39 0.5×	43 0.8×	36	362
Fernanda Sanhueza‐Olivares Chile	9	179 1.1×	52 0.4×	86 1.0×	84 1.1×	29 0.5×	12	468
Jae-Ryong Kim South Korea	10	161 1.0×	204 1.7×	82 0.9×	30 0.4×	28 0.5×	11	441
Gurdip Daffu United States	9	134 0.9×	82 0.7×	47 0.5×	38 0.5×	111 2.0×	11	508
Natalia Matulewicz Poland	10	108 0.7×	156 1.3×	97 1.1×	40 0.5×	55 1.0×	15	363
Ori Nov Israel	8	150 1.0×	219 1.9×	272 3.1×	66 0.8×	46 0.8×	10	486
Nikita S. Voronkov Russia	8	102 0.7×	60 0.5×	43 0.5×	74 0.9×	30 0.5×	16	325
Lexiang Yu United States	12	118 0.8×	127 1.1×	71 0.8×	32 0.4×	65 1.2×	20	398
Jiayu Li China	12	106 0.7×	42 0.4×	63 0.7×	33 0.4×	45 0.8×	37	387

Countries citing papers authored by Bihua Feng

Since Specialization

Citations

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

Fields of papers citing papers by Bihua Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bihua Feng

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

All Works

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8 of 8 papers shown

Masaki, Nobuyuki, Bihua Feng, Rosa Bretón‐Romero, et al.. (2020). O‐GlcNAcylation Mediates Glucose‐Induced Alterations in Endothelial Cell Phenotype in Human Diabetes Mellitus. Journal of the American Heart Association. 9(12). e014046–e014046. 45 indexed citations

Fetterman, Jessica L., Robert M. Weisbrod, Bihua Feng, et al.. (2018). Flavorings in Tobacco Products Induce Endothelial Cell Dysfunction. Arteriosclerosis Thrombosis and Vascular Biology. 38(7). 1607–1615. 105 indexed citations

Bretón‐Romero, Rosa, Robert M. Weisbrod, Bihua Feng, et al.. (2018). Liraglutide Treatment Reduces Endothelial Endoplasmic Reticulum Stress and Insulin Resistance in Patients With Diabetes Mellitus. Journal of the American Heart Association. 7(18). e009379–e009379. 43 indexed citations

Holbrook, Monika, Bihua Feng, Robert M. Weisbrod, et al.. (2017). Abstract 164: The Effects of Resveratrol Treatment on Vascular Function in Type 2 Diabetes Mellitus. Arteriosclerosis Thrombosis and Vascular Biology. 37(suppl_1). 1 indexed citations

Fetterman, Jessica L., Monica Holbrook, Nir Flint, et al.. (2016). Restoration of autophagy in endothelial cells from patients with diabetes mellitus improves nitric oxide signaling. Atherosclerosis. 247. 207–217. 89 indexed citations

Bretón‐Romero, Rosa, Bihua Feng, Monika Holbrook, et al.. (2016). Endothelial Dysfunction in Human Diabetes Is Mediated by Wnt5a–JNK Signaling. Arteriosclerosis Thrombosis and Vascular Biology. 36(3). 561–569. 86 indexed citations

Gao, Leili, Linong Ji, Qing Su, et al.. (2015). Impact of structured self-monitoring of blood glucose on the quality of life of insulin-treated Chinese patients with type 2 diabetes mellitus: Results from the COMPASS study. Diabetes Research and Clinical Practice. 112. 88–93. 10 indexed citations

Qian, Qi, et al.. (2012). Glucose metabolism among residents in Shanghai: natural outcome of a 5-year follow-up study.. PubMed. 35(5). 453–8. 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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