Michael J. Brunda
- Immunology top 0.5%
- Oncology top 2%
- Epidemiology top 2%
- Molecular Biology top 10%
- Hepatology top 0.5%
- Co-authors
- Maurice K. GatelyS F WolfHoward T. HoldenLeopoldo LuistroRosemary WrightBrian HubbardRajeev R. WarrierMaureen E. Murphy
- Topics
- Immune Cell Function and Interaction (29 papers)Immunotherapy and Immune Responses (15 papers)T-cell and B-cell Immunology (13 papers)
- Cited by
- ImmunologyHepatologyOncology
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Michael J. Brunda
75 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 3.1k
- Oncology 1.6k
- Epidemiology 1.2k
- Molecular Biology 1.0k
- Hepatology 992
Countries citing papers authored by Michael J. Brunda
This map shows the geographic impact of Michael J. Brunda'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. Brunda 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. Brunda more than expected).
Fields of papers citing papers by Michael J. Brunda
This network shows the impact of papers produced by Michael J. Brunda. 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. Brunda. The network helps show where Michael J. Brunda may publish in the future.
Co-authorship network of co-authors of Michael J. Brunda
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Brunda. A scholar is included among the top collaborators of Michael J. Brunda 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. Brunda. Michael J. Brunda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 10 | |
| 3 | 42 | |
| 4 | Peginterferon Alfa-2a in Patients with Chronic Hepatitis Cbreakdown → | 954 |
| 5 | 37 | |
| 6 | 152 | |
| 7 | 135 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | Interleukin-12: a cytokine with therapeutic potential in oncology and infectious diseases. | 50 |
| 12 | 29 | |
| 13 | Recombinant IL-12 administration induces tumor regression in association with IFN- gamma production.breakdown → | 672 |
| 14 | Antitumor and antimetastatic activity of interleukin 12 against murine tumors.breakdown → | 1031 |
| 15 | 65 | |
| 16 | 14 | |
| 17 | 13 | |
| 18 | 30 | |
| 19 | 25 | |
| 20 | 11 |
About Michael J. Brunda
Michael J. Brunda is a scholar working on Immunology, Biotechnology and Hepatology, having authored 76 papers that have together received 5.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (29 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Immunology (3.1k citations), Hepatology (992 citations) and Oncology (1.6k citations). Michael J. Brunda has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Maurice K. Gately, S F Wolf, Howard T. Holden, Leopoldo Luistro, Rosemary Wright, Brian Hubbard, Rajeev R. Warrier, Maureen E. Murphy, R B Herberman and Robert H. Wiltrout. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.
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.