Tammy T. Chang

4.0k citations
51 papers · 3.2k indexed · 1 hit paper · h-index 24
Topics
Spaceflight effects on biology (8 papers)CRISPR and Genetic Engineering (8 papers)Microbial Inactivation Methods (6 papers)

In The Last Decade

Tammy T. Chang

50 papers receiving 3.1k citations

Hit Papers

Antigen-specific regulatory T cells develop via the ICOS–...20022026201020182002200400600

Peers

Tammy T. Chang
Comparison fields: 5 of 127
  • Immunology 1.2k
  • Molecular Biology 937
  • Physiology 507
  • Oncology 433
  • Biomedical Engineering 356
Replace Jeffrey M. Beekman with:
Jeffrey M. Beekman Netherlands
Stephanie K. Dougan United States
Cosmas Giallourakis United States
Johanna F. Dekkers Netherlands
Gloria González‐Aseguinolaza Spain
Yury P. Rubtsov Russia
Dmitry V. Kuprash Russia
Lei Xu China
Yuqiong Liang United States
Terrence L. Geiger United States
Tammy T. Chang relative to Jeffrey M. Beekman Netherlands Jeffrey M. Beekman's profile →
Citations per field
00.5×1.5×1.9×
Jeffrey M. Beekman · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 11
3 2
4 2
5 27
6 8
7 6
8 13
9 12
10 44
11 3
12 2
13 19
14
Effect of Gravity on Monocyte Differentiation
13
15 79
16 34
17 16
18 353
19 183
20 4

About Tammy T. Chang

Tammy T. Chang is a scholar working on Aging, Physiology and Hepatology, having authored 51 papers that have together received 3.2k indexed citations. Recurring topics across this work include Spaceflight effects on biology (8 papers), CRISPR and Genetic Engineering (8 papers) and Microbial Inactivation Methods (6 papers). The work is most often cited by research in Immunology (1.2k citations), Business and International Management (79 citations) and Aging (62 citations). Tammy T. Chang has collaborated with scholars based in United States, China and Romania. Frequent co-authors include Millie Hughes‐Fulford, Arlene H. Sharpe, Gordon J. Freeman, Edward Greenfield, Dale T. Umetsu, Jiing‐Kuan Yee, Gerald J. Berry, Rosemarie H. DeKruyff, Everett Meyer and Omid Akbari. Their work appears in journals such as Nucleic Acids Research, Nature Medicine and The Journal of Experimental Medicine.

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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