Amy Tang

3.0k total citations
90 papers, 2.2k citations indexed

About

Amy Tang is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Amy Tang has authored 90 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 25 papers in Surgery and 22 papers in Molecular Biology. Recurrent topics in Amy Tang's work include Mesenchymal stem cell research (10 papers), Bone fractures and treatments (8 papers) and Ubiquitin and proteasome pathways (7 papers). Amy Tang is often cited by papers focused on Mesenchymal stem cell research (10 papers), Bone fractures and treatments (8 papers) and Ubiquitin and proteasome pathways (7 papers). Amy Tang collaborates with scholars based in United States, United Kingdom and Norway. Amy Tang's co-authors include Gerald M. Rubin, Thomas P. Neufeld, Chen Tu, Elaine Kwan, Stephen I. Deutsch, Andrew D. Benson, Jessica A. Burket, Jeffrey L. Platt, Jay R. Lieberman and Chen‐Pei D. Tu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Amy Tang

84 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Tang United States 27 1.1k 483 302 291 282 90 2.2k
Hua Zhang China 26 1.3k 1.1× 288 0.6× 290 1.0× 186 0.6× 142 0.5× 114 2.4k
Toru Tanaka Japan 30 1.6k 1.4× 415 0.9× 363 1.2× 232 0.8× 207 0.7× 89 2.9k
Yi Arial Zeng China 27 1.7k 1.5× 938 1.9× 369 1.2× 302 1.0× 410 1.5× 82 3.3k
Najah T. Nassif Australia 28 2.0k 1.8× 541 1.1× 306 1.0× 403 1.4× 221 0.8× 78 3.1k
Jianquan Chen China 28 1.9k 1.7× 390 0.8× 371 1.2× 533 1.8× 250 0.9× 103 3.0k
Anto De Pol Italy 34 1.3k 1.1× 295 0.6× 229 0.8× 195 0.7× 570 2.0× 90 2.8k
Vikram Prasad United States 29 2.6k 2.4× 361 0.7× 255 0.8× 365 1.3× 580 2.1× 66 4.0k
Geoffrey A. Wood Canada 31 1.7k 1.5× 462 1.0× 448 1.5× 468 1.6× 300 1.1× 112 3.3k
Lin Liu China 39 2.6k 2.3× 301 0.6× 305 1.0× 485 1.7× 442 1.6× 144 4.5k
Jie Ma China 28 1.4k 1.2× 585 1.2× 594 2.0× 294 1.0× 123 0.4× 123 2.5k

Countries citing papers authored by Amy Tang

Since Specialization
Citations

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

Fields of papers citing papers by Amy Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Tang. A scholar is included among the top collaborators of Amy Tang 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 Amy Tang. Amy Tang 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.
Wu, Brian, Amy Tang, & Akihiro Nakamura. (2025). Recent Advances in the Immunopathology of Axial Spondyloarthritis: with and without HLA-B27. Current Rheumatology Reports. 27(1). 27–27.
2.
Huang, Lulu, Amy Tang, & Bojing Shao. (2024). Protocol for preparation of primary alveolar epithelial type I cells from mouse lungs. STAR Protocols. 5(4). 103484–103484.
3.
Hall, Jamie, et al.. (2024). Marijuana’s Impact On Implant-based Breast Reconstruction: A Retrospective Cohort Study. Plastic & Reconstructive Surgery Global Open. 12(8). e6082–e6082. 1 indexed citations
4.
Neslund‐Dudas, Christine, Amy Tang, Katie R. Zarins, et al.. (2023). Uptake of Lung Cancer Screening CT After a Provider Order for Screening in the PROSPR-Lung Consortium. Journal of General Internal Medicine. 39(2). 186–194. 8 indexed citations
5.
Mayfield, Cory K., Matthew C. Gallo, Stephanie W. Chang, et al.. (2023). Biodistribution of lentiviral transduced adipose-derived stem cells for “ex-vivo” regional gene therapy for bone repair. Gene Therapy. 30(12). 826–834. 2 indexed citations
6.
Lyons, Alexis B., David Ozog, Henry W. Lim, et al.. (2022). The Detroit Keloid Scale: A Validated Tool for Rating Keloids. Facial Plastic Surgery & Aesthetic Medicine. 25(2). 119–125. 4 indexed citations
7.
Lamerato, Lois, Glen James, Heleen van Haalen, et al.. (2022). Epidemiology and outcomes in patients with anemia of CKD not on dialysis from a large US healthcare system database: a retrospective observational study. BMC Nephrology. 23(1). 166–166. 17 indexed citations
8.
Ihn, Hansel, Hyunwoo P. Kang, Osamu Sugiyama, et al.. (2021). Regional Gene Therapy with Transduced Human Cells: The Influence of “Cell Dose” on Bone Repair. Tissue Engineering Part A. 27(21-22). 1422–1433. 10 indexed citations
9.
Collier, Amber L., Dasom Lee, Richard Hoefer, et al.. (2020). Perspectives on Triple-Negative Breast Cancer: Current Treatment Strategies, Unmet Needs, and Potential Targets for Future Therapies. Cancers. 12(9). 2392–2392. 229 indexed citations
10.
Gorgis, Sarah, et al.. (2020). Liver Injury as a Surrogate for Inflammation and Predictor of Outcomes in COVID-19. Hepatology Communications. 5(1). 24–32. 12 indexed citations
11.
Walsh, Thomas, et al.. (2019). The impact of the Hospital Elder Life Program on the treatment of asymptomatic bacteriuria: An unexpected benefit. Geriatric Nursing. 40(5). 473–477. 1 indexed citations
12.
Tang, Amy, et al.. (2018). A CASE-CONTROL STUDY OF PREECLAMPSIA AND THE FUTURE DEVELOPMENT OF CARDIOVASCULAR RISK FACTORS. Journal of the American College of Cardiology. 71(11). A1861–A1861.
14.
Jin, Xin, Yunqian Pan, Liguo Wang, et al.. (2017). Fructose-1,6-bisphosphatase Inhibits ERK Activation and Bypasses Gemcitabine Resistance in Pancreatic Cancer by Blocking IQGAP1–MAPK Interaction. Cancer Research. 77(16). 4328–4341. 77 indexed citations
15.
Pensak, Michael, et al.. (2015). Combination therapy with PTH and DBM cannot heal a critical sized murine femoral defect. Journal of Orthopaedic Research®. 33(8). 1242–1249. 7 indexed citations
16.
Dukas, Alex G., Michael Pensak, Douglas J. Adams, et al.. (2015). Systemic Administration of Sclerostin Antibody Enhances Bone Morphogenetic Protein-Induced Femoral Defect Repair in a Rat Model. Journal of Bone and Joint Surgery. 97(22). 1852–1859. 26 indexed citations
17.
Schmidt, Rebecca L., Atique U. Ahmed, Justin H. Gundelach, et al.. (2007). Inhibition of RAS-Mediated Transformation and Tumorigenesis by Targeting the Downstream E3 Ubiquitin Ligase Seven in Absentia Homologue. Cancer Research. 67(24). 11798–11810. 62 indexed citations
18.
Tang, Amy, Gregory J. Brunn, Marília Cascalho, & Jeffrey L. Platt. (2007). Pivotal Advance: Endogenous pathway to SIRS, sepsis, and related conditions. Journal of Leukocyte Biology. 82(2). 282–285. 51 indexed citations
19.
Tang, Amy & Jeffrey L. Platt. (2007). Accommodation of grafts: Implications for health and disease. Human Immunology. 68(8). 645–651. 44 indexed citations
20.
Tang, Amy, Thomas P. Neufeld, Elaine Kwan, & Gerald M. Rubin. (1997). PHYL Acts to Down-Regulate TTK88, a Transcriptional Repressor of Neuronal Cell Fates, by a SINA-Dependent Mechanism. Cell. 90(3). 459–467. 202 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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