Amy Tang

3.0k citations
90 papers · 2.3k · h-index 27

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 5
    • Orthopaedic implants and arthroplasty 5
    • HER2/EGFR in Cancer Research 4
    • Pancreatic and Hepatic Oncology Research 4

Amy Tang

85 papers receiving 2.2k citations

Peers

Amy Tang
Comparison fields: 5 of 128
  • Transplantation 61
  • Cancer Research 265
  • Oncology 398
  • Molecular Biology 1.1k
  • Immunology 226
Replace Yiing Lin with:
Yiing Lin United States
Yonglun Luo Denmark
Cristina Fillat Spain
Jens van den Brandt Germany
Kevin Ferreri United States
K Wood United Kingdom
Elena Dellambra Italy
Séverine Ménoret France
Robert C. Axtell United States
Yujiro Tanaka Japan
Amy Tang relative to Yiing Lin United States Yiing Lin's profile →
Citations per field
00.5×2.6×
Yiing Lin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Amy Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amy Tang Line = papers co-authored together Amy Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020244
2 1997203
3 1994129
4 199887
5 201778
6 201077
7 200868
8 199564
9 200763
10 201360
11 200754
12 201554
13 200152
14 201452
15 200751
16 201348
17 201747
18 201546
19 200744
20 201138

About Amy Tang

Amy Tang is a scholar working on Surgery, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Bone fractures and treatments (7 papers), Ubiquitin and proteasome pathways (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Orthopaedic implants and arthroplasty (5 papers), HER2/EGFR in Cancer Research (4 papers), Virus-based gene therapy research (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Transplantation (61 citations), Cancer Research (265 citations), Oncology (398 citations), Molecular Biology (1.1k citations) and Immunology (226 citations). Amy Tang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gerald M. Rubin, Thomas P. Neufeld, Chen Tu, Jessica A. Burket, Stephen I. Deutsch, Andrew D. Benson, Elaine Kwan, Jeffrey L. Platt, Jay R. Lieberman and Rebecca L. Schmidt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Bone and Journal of Biomedical Materials Research Part A.

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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