Michael J. Campa
- Molecular Biology top 10%
- Immunology top 5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Spectroscopy top 5%
- Co-authors
- Edward F. PatzElizabeth B. GottlinBrandon A. HowardMichael C. FitzgeraldJames E. HerndonMichael Z. WangDavid H. HarpoleRebecca P. Petersen
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Complement system in diseases (10 papers)Lung Cancer Treatments and Mutations (9 papers)
- Cited by
- ImmunologyOncologySpectroscopy
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesItalySpain
In The Last Decade
Michael J. Campa
55 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 827
- Immunology 726
- Oncology 595
- Pulmonary and Respiratory Medicine 274
- Spectroscopy 233
Countries citing papers authored by Michael J. Campa
This map shows the geographic impact of Michael J. Campa'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 Michael J. Campa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Campa more than expected).
Fields of papers citing papers by Michael J. Campa
This network shows the impact of papers produced by Michael J. Campa. 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 Michael J. Campa. The network helps show where Michael J. Campa may publish in the future.
Co-authorship network of co-authors of Michael J. Campa
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Campa. A scholar is included among the top collaborators of Michael J. Campa 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 Michael J. Campa. Michael J. Campa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 9 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 122 | |
| 10 | 43 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 193 | |
| 15 | 349 | |
| 16 | 28 | |
| 17 | 96 | |
| 18 | 20 | |
| 19 | 40 | |
| 20 | 33 |
About Michael J. Campa
Michael J. Campa is a scholar working on Immunology, Oncology and Aging, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Complement system in diseases (10 papers) and Lung Cancer Treatments and Mutations (9 papers). The work is most often cited by research in Immunology (726 citations), Oncology (595 citations) and Spectroscopy (233 citations). Michael J. Campa has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Edward F. Patz, Elizabeth B. Gottlin, Brandon A. Howard, Michael C. Fitzgerald, James E. Herndon, Michael Z. Wang, David H. Harpole, Rebecca P. Petersen, M. Joshi and Debbi H. Conlon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.