Christopher J. Donahue
- Molecular Biology top 2%
- Immunology top 2%
- Cancer Research top 2%
- Oncology top 5%
- Hematology top 2%
- Co-authors
- Scot A. MarstersRobert PittiAlison MooreAvi AshkenaziSiegfried RuppertKenneth D. BauerDan EatonAudrey D. Goddard
- Topics
- Cell death mechanisms and regulation (6 papers)Immunotherapy and Immune Responses (4 papers)RNA Interference and Gene Delivery (3 papers)
- Cited by
- ImmunologyHematologyCancer Research
- Partner nations
- United StatesFrance
In The Last Decade
Christopher J. Donahue
24 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.6k
- Immunology 1.4k
- Cancer Research 694
- Oncology 620
- Hematology 590
Countries citing papers authored by Christopher J. Donahue
This map shows the geographic impact of Christopher J. Donahue'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 Christopher J. Donahue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Donahue more than expected).
Fields of papers citing papers by Christopher J. Donahue
This network shows the impact of papers produced by Christopher J. Donahue. 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 Christopher J. Donahue. The network helps show where Christopher J. Donahue may publish in the future.
Co-authorship network of co-authors of Christopher J. Donahue
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Donahue. A scholar is included among the top collaborators of Christopher J. Donahue 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 Christopher J. Donahue. Christopher J. Donahue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 43 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 46 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 109 | |
| 9 | Genomic amplification of a decoy receptor for Fas ligand in lung and colon cancerbreakdown → | 645 |
| 10 | 109 | |
| 11 | 145 | |
| 12 | 176 | |
| 13 | 219 | |
| 14 | 23 | |
| 15 | Induction of Apoptosis by Apo-2 Ligand, a New Member of the Tumor Necrosis Factor Cytokine Familybreakdown → | 1565 |
| 16 | 52 | |
| 17 | 35 | |
| 18 | 13 | |
| 19 | 53 | |
| 20 | 10 |
About Christopher J. Donahue
Christopher J. Donahue is a scholar working on Immunology and Allergy, Hematology and Immunology, having authored 24 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Immunotherapy and Immune Responses (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (1.4k citations), Hematology (590 citations) and Cancer Research (694 citations). Christopher J. Donahue has collaborated with scholars based in United States and France. Frequent co-authors include Scot A. Marsters, Robert Pitti, Alison Moore, Avi Ashkenazi, Siegfried Ruppert, Kenneth D. Bauer, Dan Eaton, Audrey D. Goddard, Avi Ashkenazi and Jennie P. Mather. Their work appears in journals such as Nature, Journal of Biological Chemistry and Blood.
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.