Chris M. Bacon
- Immunology top 1%
- Oncology top 1%
- Pathology and Forensic Medicine top 1%
- Molecular Biology top 10%
- Cancer Research top 5%
- Co-authors
- John J. O’SheaJohn R. OrtaldoRobert C. ReesJames A. JohnstonDaniel W. McVicarJ A JohnstonMing‐Qing DuD S Finbloom
- Topics
- Lymphoma Diagnosis and Treatment (31 papers)Viral-associated cancers and disorders (20 papers)Immune Cell Function and Interaction (17 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chris M. Bacon
67 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 2.1k
- Oncology 2.0k
- Pathology and Forensic Medicine 1.2k
- Molecular Biology 797
- Cancer Research 514
Countries citing papers authored by Chris M. Bacon
This map shows the geographic impact of Chris M. Bacon'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 Chris M. Bacon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris M. Bacon more than expected).
Fields of papers citing papers by Chris M. Bacon
This network shows the impact of papers produced by Chris M. Bacon. 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 Chris M. Bacon. The network helps show where Chris M. Bacon may publish in the future.
Co-authorship network of co-authors of Chris M. Bacon
This figure shows the co-authorship network connecting the top 25 collaborators of Chris M. Bacon. A scholar is included among the top collaborators of Chris M. Bacon 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 Chris M. Bacon. Chris M. Bacon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 23 | |
| 3 | 10 | |
| 4 | 18 | |
| 5 | 40 | |
| 6 | 119 | |
| 7 | 28 | |
| 8 | 33 | |
| 9 | 19 | |
| 10 | 118 | |
| 11 | 52 | |
| 12 | 46 | |
| 13 | 30 | |
| 14 | 56 | |
| 15 | 46 | |
| 16 | 94 | |
| 17 | Chlamydia psittaci is variably associated with ocular MALT lymphoma in different geographical regions | 2 |
| 18 | Tyrosine Phosphorylation and Activation of Stat5, Stat3, and Janus Kinases by Interleukin-2 and Interleukin-15 | 1 |
| 19 | 297 | |
| 20 | Interaction of IL-2Rβ and γ c Chains with Jak1 and Jak3: Implications for XSCID and XCIDbreakdown → | 553 |
About Chris M. Bacon
Chris M. Bacon is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology, having authored 70 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (31 papers), Viral-associated cancers and disorders (20 papers) and Immune Cell Function and Interaction (17 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (2.0k citations) and Pathology and Forensic Medicine (1.2k citations). Chris M. Bacon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include John J. O’Shea, John R. Ortaldo, Robert C. Rees, James A. Johnston, Daniel W. McVicar, J A Johnston, Ming‐Qing Du, D S Finbloom, Emanuel F. Petricoin and A.C. Larner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.