Terence Wu

4.1k total citations
44 papers, 3.3k citations indexed

About

Terence Wu is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Terence Wu has authored 44 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Oncology and 10 papers in Physiology. Recurrent topics in Terence Wu's work include Bone health and treatments (15 papers), Fibroblast Growth Factor Research (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). Terence Wu is often cited by papers focused on Bone health and treatments (15 papers), Fibroblast Growth Factor Research (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). Terence Wu collaborates with scholars based in United States, China and Australia. Terence Wu's co-authors include Andrew F. Stewart, William J. Burtis, Karl Insogna, John J. Orloff, Arthur E. Broadus, Kenneth R. Williams, A E Broadus, Eleanor C. Weir, David L. Rimm and Keith S. Hoek and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Terence Wu

43 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Terence Wu 2.0k 1.8k 334 295 276 44 3.3k
Jean H.M. Feyen 1.9k 1.0× 1.1k 0.6× 126 0.4× 267 0.9× 122 0.4× 77 3.3k
Peter V.N. Bodine 3.5k 1.7× 1.1k 0.6× 244 0.7× 467 1.6× 153 0.6× 74 4.9k
Jan Erik Varhaug 2.2k 1.1× 2.2k 1.2× 132 0.4× 890 3.0× 265 1.0× 96 4.4k
Annet Hammacher 1.6k 0.8× 882 0.5× 355 1.1× 156 0.5× 302 1.1× 43 3.4k
Isabel Puig 2.4k 1.2× 1.2k 0.6× 266 0.8× 115 0.4× 253 0.9× 23 3.6k
John R. Hawse 1.9k 0.9× 823 0.5× 137 0.4× 134 0.5× 332 1.2× 113 3.3k
Judy Pawling 4.5k 2.2× 779 0.4× 790 2.4× 80 0.3× 365 1.3× 37 5.8k
Josep Baulida 3.9k 1.9× 2.6k 1.4× 732 2.2× 109 0.4× 410 1.5× 33 5.6k
Serhiy Souchelnytskyi 3.2k 1.6× 896 0.5× 308 0.9× 59 0.2× 322 1.2× 110 4.1k
Marta García‐Ramírez 2.0k 1.0× 299 0.2× 164 0.5× 266 0.9× 146 0.5× 66 3.8k

Countries citing papers authored by Terence Wu

Since Specialization
Citations

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

Fields of papers citing papers by Terence Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terence Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Terence Wu. A scholar is included among the top collaborators of Terence Wu 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 Terence Wu. Terence Wu 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.
Renauer, Paul, Jonathan J. Park, Meizhu Bai, et al.. (2023). Immunogenetic Metabolomics Reveals Key Enzymes That Modulate CAR T-cell Metabolism and Function. Cancer Immunology Research. 11(8). 1068–1084. 19 indexed citations
2.
Lin, Z. Ping, et al.. (2021). In silico screening identifies a novel small molecule inhibitor that counteracts PARP inhibitor resistance in ovarian cancer. Scientific Reports. 11(1). 8042–8042. 9 indexed citations
3.
Ye, Yunpeng, Jakub Toczek, Kiran Gona, et al.. (2018). Novel Arginine-containing Macrocyclic MMP Inhibitors: Synthesis, 99mTc-labeling, and Evaluation. Scientific Reports. 8(1). 11647–11647. 9 indexed citations
4.
Toczek, Jakub, Yunpeng Ye, Kiran Gona, et al.. (2017). Preclinical Evaluation of RYM1, a Matrix Metalloproteinase–Targeted Tracer for Imaging Aneurysm. Journal of Nuclear Medicine. 58(8). 1318–1323. 19 indexed citations
5.
Musante, Veronica, Atsuko Horiuchi, Hideo Matsuzaki, et al.. (2017). ARPP-16 Is a Striatal-Enriched Inhibitor of Protein Phosphatase 2A Regulated by Microtubule-Associated Serine/Threonine Kinase 3 (Mast 3 Kinase). Journal of Neuroscience. 37(10). 2709–2722. 30 indexed citations
6.
Nassar, Ala F., et al.. (2016). UPLC–MS for metabolomics: a giant step forward in support of pharmaceutical research. Drug Discovery Today. 22(2). 463–470. 62 indexed citations
7.
Wu, Terence, et al.. (2014). Factors That Influence Immediate Perforator Vein Closure Rates With Radiofrequency Ablation, Laser Ablation, or Foam Sclerotherapy. Journal of Vascular Surgery Venous and Lymphatic Disorders. 3(1). 125–125. 1 indexed citations
8.
Zhang, Yongquan, Michael X. Henderson, Christopher M. Colangelo, et al.. (2012). Identification of CSPα Clients Reveals a Role in Dynamin 1 Regulation. Neuron. 74(1). 136–150. 75 indexed citations
9.
Søfteland, Liv, Kjell Petersen, Anne-Kristin Stavrum, Terence Wu, & Pål A. Olsvik. (2011). Hepatic in vitro toxicity assessment of PBDE congeners BDE47, BDE153 and BDE154 in Atlantic salmon (Salmo salar L.). Aquatic Toxicology. 105(3-4). 246–263. 28 indexed citations
10.
Wu, Terence. (2006). Two-Dimensional Difference Gel Electrophoresis. Humana Press eBooks. 328. 71–96. 36 indexed citations
11.
12.
Hoek, Keith S., David L. Rimm, Kenneth R. Williams, et al.. (2004). Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas. Cancer Research. 64(15). 5270–5282. 371 indexed citations
13.
Williams, Kenneth R., Terence Wu, Christopher M. Colangelo, & Angus C. Nairn. (2004). Recent advances in neuroproteomics and potential application to studies of drug addiction. Neuropharmacology. 47. 148–166. 28 indexed citations
14.
Wu, Terence, Rupangi C. Vasavada, Kai Hao Yang, et al.. (1996). Structural and Physiologic Characterization of the Mid-region Secretory Species of Parathyroid Hormone-related Protein. Journal of Biological Chemistry. 271(40). 24371–24381. 104 indexed citations
15.
Yang, Kai Hao, Neil E. Soifer, Barbara E. Dreyer, et al.. (1994). Parathyroid Hormone-Related Protein: Evidence for Isoform- and Tissue-Specific Posttranslational Processing. Biochemistry. 33(23). 7460–7469. 61 indexed citations
16.
Burtis, William J., T.G. Brady, John J. Orloff, et al.. (1990). Immunochemical Characterization of Circulating Parathyroid Hormone–Related Protein in Patients with Humoral Hypercalcemia of Cancer. New England Journal of Medicine. 322(16). 1106–1112. 409 indexed citations
17.
Orloff, John J., et al.. (1989). Parathyroid Hormone-Like Proteins: Biochemical Responses and Receptor Interactions*. Endocrine Reviews. 10(4). 476–495. 139 indexed citations
18.
Stewart, Andrew F., et al.. (1989). Synthetic Parathyroid Hormone-Like Protein-(1–74): Biochemical and Physiological Characterization*. Endocrinology. 124(2). 642–648. 30 indexed citations
19.
Stewart, Andrew F., Marguerite Mangin, Terence Wu, et al.. (1988). Synthetic human parathyroid hormone-like protein stimulates bone resorption and causes hypercalcemia in rats.. Journal of Clinical Investigation. 81(2). 596–600. 157 indexed citations
20.
Weir, Eleanor C., et al.. (1988). Adenylate cyclase-stimulating, bone-resorbing and B TGF-like activities in canine apocrine cell adenocarcinoma of the anal sac. Calcified Tissue International. 43(6). 359–365. 3 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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