Kimberly A. Muczynski
- Molecular Biology
- Surgery top 10%
- Immunology top 10%
- Biomedical Engineering
- Oncology
- Co-authors
- Susan K. AndersonDavid M. CoderJonathan HimmelfarbArthur R. AblinVita J. LandTeresa J. ViettiG. Denman HammondJoel E. Haas
- Topics
- Immunotherapy and Immune Responses (6 papers)T-cell and B-cell Immunology (6 papers)Renal Transplantation Outcomes and Treatments (5 papers)
- Cited by
- TransplantationNephrologyHepatology
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Kimberly A. Muczynski
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 421
- Surgery 284
- Immunology 263
- Biomedical Engineering 215
- Oncology 210
Countries citing papers authored by Kimberly A. Muczynski
This map shows the geographic impact of Kimberly A. Muczynski'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 Kimberly A. Muczynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly A. Muczynski more than expected).
Fields of papers citing papers by Kimberly A. Muczynski
This network shows the impact of papers produced by Kimberly A. Muczynski. 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 Kimberly A. Muczynski. The network helps show where Kimberly A. Muczynski may publish in the future.
Co-authorship network of co-authors of Kimberly A. Muczynski
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly A. Muczynski. A scholar is included among the top collaborators of Kimberly A. Muczynski 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 Kimberly A. Muczynski. Kimberly A. Muczynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 186 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 30 | |
| 6 | 191 | |
| 7 | 75 | |
| 8 | 51 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 54 | |
| 13 | 137 | |
| 14 | 68 | |
| 15 | 16 | |
| 16 | Discoordinate surface expression of IFN-gamma-induced HLA class II proteins in nonprofessional antigen-presenting cells with absence of DM and class II colocalization. | 17 |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 169 |
About Kimberly A. Muczynski
Kimberly A. Muczynski is a scholar working on Transplantation, Nephrology and Immunology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (6 papers) and Renal Transplantation Outcomes and Treatments (5 papers). The work is most often cited by research in Transplantation (188 citations), Nephrology (165 citations) and Hepatology (114 citations). Kimberly A. Muczynski has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Susan K. Anderson, David M. Coder, Jonathan Himmelfarb, Arthur R. Ablin, Vita J. Land, Teresa J. Vietti, G. Denman Hammond, Joel E. Haas, T Cotner and Ying Zheng. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemistry.
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.