Brian G. Van Ness
- Molecular Biology top 10%
- Immunology top 2%
- Oncology top 10%
- Hematology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- James B. HowardJames W. BodleyRichard M. FeddersenRobert P. PerryMichael A. LindenSiegfried JanzMartin WeigertDawn E. Kelley
- Topics
- Multiple Myeloma Research and Treatments (27 papers)Monoclonal and Polyclonal Antibodies Research (19 papers)T-cell and B-cell Immunology (14 papers)
- Partner nations
- United StatesFrancePoland
In The Last Decade
Brian G. Van Ness
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.2k
- Immunology 936
- Oncology 405
- Hematology 385
- Radiology, Nuclear Medicine and Imaging 306
Countries citing papers authored by Brian G. Van Ness
This map shows the geographic impact of Brian G. Van Ness'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 Brian G. Van Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian G. Van Ness more than expected).
Fields of papers citing papers by Brian G. Van Ness
This network shows the impact of papers produced by Brian G. Van Ness. 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 Brian G. Van Ness. The network helps show where Brian G. Van Ness may publish in the future.
Co-authorship network of co-authors of Brian G. Van Ness
This figure shows the co-authorship network connecting the top 25 collaborators of Brian G. Van Ness. A scholar is included among the top collaborators of Brian G. Van Ness 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 Brian G. Van Ness. Brian G. Van Ness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | 102 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 62 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 30 | |
| 12 | 79 | |
| 13 | Signaling after NF1 Gene Loss with GM-CSF Receptor Blockade and Gene Regulation with Neurofibromins GAP Related Domain in Myeloproliferative Disease | 1 |
| 14 | 30 | |
| 15 | 38 | |
| 16 | 24 | |
| 17 | 8 | |
| 18 | 32 | |
| 19 | 10 | |
| 20 | 166 |
About Brian G. Van Ness
Brian G. Van Ness is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (27 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and T-cell and B-cell Immunology (14 papers). The work is most often cited by research in Immunology (936 citations), Hematology (385 citations) and Molecular Biology (1.2k citations). Brian G. Van Ness has collaborated with scholars based in United States, France and Poland. Frequent co-authors include James B. Howard, James W. Bodley, Richard M. Feddersen, Robert P. Perry, Michael A. Linden, Siegfried Janz, Martin Weigert, Dawn E. Kelley, Christopher Coleclough and Elizabeth L. Mather. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.