Tammy T. Chang

77 total papers · 4.0k total citations
51 papers, 3.2k citations indexed

About

Tammy T. Chang is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Tammy T. Chang has authored 51 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Immunology. Recurrent topics in Tammy T. Chang's work include Spaceflight effects on biology (8 papers), CRISPR and Genetic Engineering (8 papers) and Microbial Inactivation Methods (6 papers). Tammy T. Chang is often cited by papers focused on Spaceflight effects on biology (8 papers), CRISPR and Genetic Engineering (8 papers) and Microbial Inactivation Methods (6 papers). Tammy T. Chang collaborates with scholars based in United States, China and Germany. Tammy T. Chang's co-authors include Millie Hughes‐Fulford, Arlene H. Sharpe, Edward Greenfield, Gordon J. Freeman, Dale T. Umetsu, Rosemarie H. DeKruyff, Everett Meyer, Gerald J. Berry, Omid Akbari and Vijay K. Kuchroo and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Tammy T. Chang

50 papers receiving 3.1k citations

Hit Papers

Antigen-specific regulato... 2002 2026 2010 2018 2002 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tammy T. Chang 1.2k 927 507 432 355 51 3.2k
Claudine S. Bonder 1.3k 1.1× 1.4k 1.5× 318 0.6× 437 1.0× 120 0.3× 105 3.4k
Björn Petri 2.4k 2.0× 1.2k 1.2× 297 0.6× 255 0.6× 121 0.3× 46 3.9k
Patrick Van Deŕ Smissen 652 0.6× 1.9k 2.1× 501 1.0× 298 0.7× 148 0.4× 69 3.7k
Pierre Graber 2.2k 1.9× 1.5k 1.6× 507 1.0× 532 1.2× 115 0.3× 87 4.6k
Ezio Merler 1.5k 1.3× 1.3k 1.4× 306 0.6× 491 1.1× 151 0.4× 85 3.9k
Jonas Heilskov Graversen 1.0k 0.9× 1.2k 1.2× 643 1.3× 350 0.8× 115 0.3× 65 3.6k
Hiroko Iwasaki 984 0.8× 2.3k 2.5× 307 0.6× 438 1.0× 155 0.4× 77 3.9k
Ehud Zigmond 2.2k 1.9× 1.0k 1.1× 221 0.4× 617 1.4× 99 0.3× 41 3.6k
Jianxun Song 2.1k 1.8× 1.2k 1.3× 239 0.5× 1.1k 2.5× 177 0.5× 94 3.8k
Takao Hirano 1.4k 1.2× 1.2k 1.3× 235 0.5× 1.1k 2.5× 112 0.3× 88 4.1k

Countries citing papers authored by Tammy T. Chang

Since Specialization
Citations

This map shows the geographic impact of Tammy T. Chang'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 T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy T. Chang more than expected).

Fields of papers citing papers by Tammy T. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tammy T. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tammy T. Chang. A scholar is included among the top collaborators of Tammy T. Chang 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 T. Chang. Tammy T. Chang 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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