Weifan Weng

1.1k total citations
7 papers, 903 citations indexed

About

Weifan Weng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Weifan Weng has authored 7 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Weifan Weng's work include Chemokine receptors and signaling (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Cell Adhesion Molecules Research (2 papers). Weifan Weng is often cited by papers focused on Chemokine receptors and signaling (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Cell Adhesion Molecules Research (2 papers). Weifan Weng collaborates with scholars based in United States and China. Weifan Weng's co-authors include Robert J. Aiello, Saralyn Lindsey, Patricia-Ann K. Bourassa, Barrett J. Rollins, Edward J. Natoli, Patrice M. Milos, Henry J. Showell, Margit Hagel, Timothy J. Guzi and Christopher Winter and has published in prestigious journals such as Cancer Research, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Weifan Weng

7 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weifan Weng United States 5 382 374 211 166 119 7 903
Victoria Stoneman United Kingdom 8 288 0.8× 358 1.0× 109 0.5× 105 0.6× 118 1.0× 14 735
Bernadette Bonardo France 18 501 1.3× 212 0.6× 181 0.9× 87 0.5× 199 1.7× 24 1000
Michael Johns United States 17 364 1.0× 334 0.9× 110 0.5× 129 0.8× 49 0.4× 49 901
Markus Hildner Germany 10 259 0.7× 420 1.1× 103 0.5× 90 0.5× 69 0.6× 13 896
Katharina Lötzer Germany 9 337 0.9× 451 1.2× 125 0.6× 140 0.8× 99 0.8× 10 1.2k
Atsuyuki Nakata Japan 11 430 1.1× 280 0.7× 82 0.4× 120 0.7× 131 1.1× 14 808
Long Cui China 12 281 0.7× 223 0.6× 176 0.8× 118 0.7× 65 0.5× 27 762
Kathy J. Carter United States 12 424 1.1× 468 1.3× 274 1.3× 138 0.8× 307 2.6× 13 1.2k
Jeanny Ohan France 6 414 1.1× 416 1.1× 71 0.3× 146 0.9× 111 0.9× 10 1.0k
Shufang Gu United States 12 247 0.6× 281 0.8× 115 0.5× 166 1.0× 272 2.3× 13 807

Countries citing papers authored by Weifan Weng

Since Specialization
Citations

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

Fields of papers citing papers by Weifan Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifan Weng

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

All Works

7 of 7 papers shown
1.
Weng, Weifan, Jinxiu Wu, & Bao Li. (2020). The Regeneration of Traditional Residential Block with Typological Approach-Taking Zhongnongli in Nanjing as an Example. IOP Conference Series Materials Science and Engineering. 960(4). 42037–42037. 2 indexed citations
2.
Hagel, Margit, Chandra Miduturu, Michael P. Sheets, et al.. (2015). First Selective Small Molecule Inhibitor of FGFR4 for the Treatment of Hepatocellular Carcinomas with an Activated FGFR4 Signaling Pathway. Cancer Discovery. 5(4). 424–437. 247 indexed citations
3.
Hagel, Margit, Chandra Miduturu, Weifan Weng, et al.. (2014). Abstract LB-324: First isoform selective inhibitor of FGFR4 for the treatment of genomically defined patients with hepatocellular carcinoma. Cancer Research. 74(19_Supplement). LB–324. 4 indexed citations
4.
Aiello, Robert J., Patricia-Ann K. Bourassa, Andrew Robertson, et al.. (2009). CCR2 receptor blockade alters blood monocyte subpopulations but does not affect atherosclerotic lesions in apoE−/− mice. Atherosclerosis. 208(2). 370–375. 37 indexed citations
5.
Aiello, Robert J., et al.. (2002). Leukotriene B4 Receptor Antagonism Reduces Monocytic Foam Cells in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 22(3). 443–449. 194 indexed citations
6.
Aiello, Robert J., Patricia-Ann K. Bourassa, Saralyn Lindsey, et al.. (1999). Monocyte Chemoattractant Protein-1 Accelerates Atherosclerosis in Apolipoprotein E-Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 19(6). 1518–1525. 388 indexed citations
7.
Hill, Roger J., Joseph J. Oleynek, Christopher F. Hoth, et al.. (1997). Cloning, Expression and Pharmacological Characterization of Rabbit Adenosine A1 and A3 Receptors. Journal of Pharmacology and Experimental Therapeutics. 280(1). 122–128. 31 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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