Mary Ann Cox
- Molecular Biology
- Immunology top 10%
- Oncology top 10%
- Health, Toxicology and Mutagenesis top 5%
- Physiology
- Co-authors
- Chung‐Her JenhPaul J. ZavodnyDaniel LundellJay S. FineSatwant K. NarulaMichael S. DenisonChuan‐Chu ChouJ.M.M.J.G. Aarts
- Topics
- T-cell and B-cell Immunology (5 papers)Chemokine receptors and signaling (5 papers)bioluminescence and chemiluminescence research (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mary Ann Cox
15 papers receiving 903 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 348
- Immunology 279
- Oncology 234
- Health, Toxicology and Mutagenesis 179
- Physiology 126
Countries citing papers authored by Mary Ann Cox
This map shows the geographic impact of Mary Ann Cox'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 Mary Ann Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ann Cox more than expected).
Fields of papers citing papers by Mary Ann Cox
This network shows the impact of papers produced by Mary Ann Cox. 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 Mary Ann Cox. The network helps show where Mary Ann Cox may publish in the future.
Co-authorship network of co-authors of Mary Ann Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Cox. A scholar is included among the top collaborators of Mary Ann Cox 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 Mary Ann Cox. Mary Ann Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 74 | |
| 3 | 73 | |
| 4 | 291 | |
| 5 | 10 | |
| 6 | 49 | |
| 7 | 12 | |
| 8 | 112 | |
| 9 | 63 | |
| 10 | 9 | |
| 11 | Species-specific differences in Ah receptor ligand binding and transcriptional activation: implications for bioassays for the detection of dioxin-like chemicals. | 7 |
| 12 | 157 | |
| 13 | Ah-receptor mediated luciferase expression: a tool for monitoring dioxin-like toxicity. | 25 |
| 14 | Species-specific antagonism of Ah receptor action by 2,2',5,5'-tetrachlorobiphenyl. | 4 |
| 15 | Antagonistic effects of diortho PCBs (PCB 52 and 128) on Ah receptor-mediated induction of luciferase activity by 3,3',4,4'-tetrachlorobiphenyl (PCB 77) in mouse Hepa-1c1c7 cells. | 1 |
About Mary Ann Cox
Mary Ann Cox is a scholar working on Immunology, Physiology and Oncology, having authored 15 papers that have together received 930 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Chemokine receptors and signaling (5 papers) and bioluminescence and chemiluminescence research (3 papers). The work is most often cited by research in Immunology (279 citations), Health, Toxicology and Mutagenesis (179 citations) and Physiology (43 citations). Mary Ann Cox has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Chung‐Her Jenh, Paul J. Zavodny, Daniel Lundell, Jay S. Fine, Satwant K. Narula, Michael S. Denison, Chuan‐Chu Chou, J.M.M.J.G. Aarts, Laura H.J. de Haan and Abraham Brouwer. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Biochemical and Biophysical Research Communications.
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.