Tammy Huang

106 total papers · 6.6k total citations
16 papers, 2.7k citations indexed

About

Tammy Huang is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tammy Huang has authored 16 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tammy Huang's work include Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Tammy Huang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Tammy Huang collaborates with scholars based in United States and Sweden. Tammy Huang's co-authors include George D. Yancopoulos, Nikolaos G. Papadopoulos, John S. Rudge, James P. Fandl, Stanley J. Wiegand, Michelle Russell, Donna Hylton, Kevin M. Bailey, Jocelyn Holash and Czeslaw Radziejewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

Tammy Huang

15 papers receiving 2.6k citations

Hit Papers

VEGF-Trap: A VEGF blocker... 2002 2026 2010 2018 2002 2019 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Tammy Huang 1.2k 522 511 422 409 16 2.7k
Ella Ioffe 2.3k 1.8× 490 0.9× 765 1.5× 576 1.4× 407 1.0× 24 3.6k
V S Harvey 2.7k 2.2× 331 0.6× 791 1.5× 334 0.8× 369 0.9× 14 4.5k
Kiang-Teck Yeo 1.5k 1.2× 200 0.4× 334 0.7× 219 0.5× 285 0.7× 23 2.5k
Jitka V. Olander 1.7k 1.4× 172 0.3× 352 0.7× 136 0.3× 258 0.6× 23 2.7k
Michael Loughnan 1.2k 1.0× 508 1.0× 604 1.2× 352 0.8× 308 0.8× 24 2.7k
Tet-Kin Yeo 2.7k 2.2× 947 1.8× 573 1.1× 1.3k 3.0× 346 0.8× 23 4.7k
James D. Reimann 609 0.5× 375 0.7× 968 1.9× 195 0.5× 340 0.8× 16 3.0k
Shenghui Duan 1.3k 1.0× 156 0.3× 703 1.4× 824 2.0× 1.2k 3.0× 30 3.4k
Thomas J. Daly 2.6k 2.1× 179 0.3× 614 1.2× 190 0.5× 341 0.8× 22 3.6k
Stela Gengrinovitch 2.5k 2.0× 194 0.4× 698 1.4× 142 0.3× 293 0.7× 11 3.5k

Countries citing papers authored by Tammy Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tammy Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tammy Huang

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

All Works

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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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