Michael J. Banda
- Cancer Research top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Hematology top 1%
- Rehabilitation top 0.5%
- Co-authors
- Zena WerbDaniel A. RappoleeMark DavidEric W. HowardEdward J. GoetzlDavid LeppertE J ClarkG. Scott Herron
- Topics
- Protease and Inhibitor Mechanisms (22 papers)Blood Coagulation and Thrombosis Mechanisms (9 papers)Wound Healing and Treatments (8 papers)
- Partner nations
- United StatesZambiaUnited Kingdom
In The Last Decade
Michael J. Banda
36 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 2.2k
- Molecular Biology 1.9k
- Oncology 1.1k
- Hematology 791
- Rehabilitation 721
Countries citing papers authored by Michael J. Banda
This map shows the geographic impact of Michael J. Banda'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. Banda 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. Banda more than expected).
Fields of papers citing papers by Michael J. Banda
This network shows the impact of papers produced by Michael J. Banda. 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. Banda. The network helps show where Michael J. Banda may publish in the future.
Co-authorship network of co-authors of Michael J. Banda
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Banda. A scholar is included among the top collaborators of Michael J. Banda 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. Banda. Michael J. Banda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 103 | |
| 3 | 188 | |
| 4 | 56 | |
| 5 | 34 | |
| 6 | 492 | |
| 7 | 35 | |
| 8 | 33 | |
| 9 | Secreted inhibitors of metalloproteinases (IMPs) that are distinct from TIMP. | 4 |
| 10 | Large induction of keratinocyte growth factor expression in the dermis during wound healing.breakdown → | 517 |
| 11 | 192 | |
| 12 | Wound Macrophages Express TGF-α and Other Growth Factors in Vivo: Analysis by mRNA Phenotypingbreakdown → | 925 |
| 13 | 116 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 17 | |
| 17 | 24 | |
| 18 | 130 | |
| 19 | 258 | |
| 20 | 81 |
About Michael J. Banda
Michael J. Banda is a scholar working on Cancer Research, Rehabilitation and Hematology, having authored 38 papers that have together received 5.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (22 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and Wound Healing and Treatments (8 papers). The work is most often cited by research in Cancer Research (2.2k citations), Immunology and Allergy (706 citations) and Rehabilitation (721 citations). Michael J. Banda has collaborated with scholars based in United States, Zambia and United Kingdom. Frequent co-authors include Zena Werb, Daniel A. Rappolee, Mark David, Eric W. Howard, Edward J. Goetzl, David Leppert, E J Clark, G. Scott Herron, David R. Knighton and Elizabeth C. Bullen. 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.