Jeffrey Eastham‐Anderson
- Immunology top 1%
- Molecular Biology top 5%
- Oncology top 2%
- Dermatology top 0.5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Dimitry M. DanilenkoYan ZhengJianfeng WuWenjun OuyangPatricia ValdezIan KasmanDorothy FrenchVishva M. Dixit
- Topics
- Immune Cell Function and Interaction (6 papers)Ubiquitin and proteasome pathways (3 papers)Immunotherapy and Immune Responses (3 papers)
- Cited by
- ImmunologyDermatologyOncology
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Jeffrey Eastham‐Anderson
34 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 2.2k
- Molecular Biology 1.5k
- Oncology 1.0k
- Dermatology 552
- Pathology and Forensic Medicine 431
Countries citing papers authored by Jeffrey Eastham‐Anderson
This map shows the geographic impact of Jeffrey Eastham‐Anderson'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 Jeffrey Eastham‐Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Eastham‐Anderson more than expected).
Fields of papers citing papers by Jeffrey Eastham‐Anderson
This network shows the impact of papers produced by Jeffrey Eastham‐Anderson. 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 Jeffrey Eastham‐Anderson. The network helps show where Jeffrey Eastham‐Anderson may publish in the future.
Co-authorship network of co-authors of Jeffrey Eastham‐Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Eastham‐Anderson. A scholar is included among the top collaborators of Jeffrey Eastham‐Anderson 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 Jeffrey Eastham‐Anderson. Jeffrey Eastham‐Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | 112 | |
| 3 | 25 | |
| 4 | 51 | |
| 5 | 75 | |
| 6 | 107 | |
| 7 | 140 | |
| 8 | 17 | |
| 9 | 33 | |
| 10 | 14 | |
| 11 | 39 | |
| 12 | 150 | |
| 13 | 53 | |
| 14 | 247 | |
| 15 | 182 | |
| 16 | Deubiquitinase USP9X stabilizes MCL1 and promotes tumour cell survivalbreakdown → | 510 |
| 17 | 104 | |
| 18 | 49 | |
| 19 | IAP (inhibitor of apoptosis) antagonist inhibits orthotopic lung tumor growth | 1 |
| 20 | Interleukin-22, a TH17 cytokine, mediates IL-23-induced dermal inflammation and acanthosisbreakdown → | 1512 |
About Jeffrey Eastham‐Anderson
Jeffrey Eastham‐Anderson is a scholar working on Immunology, Oncology and Cancer Research, having authored 35 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Ubiquitin and proteasome pathways (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (2.2k citations), Dermatology (552 citations) and Oncology (1.0k citations). Jeffrey Eastham‐Anderson has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Dimitry M. Danilenko, Yan Zheng, Jianfeng Wu, Wenjun Ouyang, Patricia Valdez, Ian Kasman, Dorothy French, Vishva M. Dixit, Jinfeng Liu and Zora Modrušan. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.