Matthew W. Vanneman
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Biomedical Engineering
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Glenn DranoffDonna NeubergJerome RitzMasahisa JinushiKenneth C. AndersonNikhil C. MunshiRao PrabhalaYu-Tzu Tai
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (13 papers)Immunotherapy and Immune Responses (6 papers)Immune Cell Function and Interaction (5 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- United StatesGermany
In The Last Decade
Matthew W. Vanneman
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 956
- Immunology 903
- Molecular Biology 552
- Biomedical Engineering 250
- Pulmonary and Respiratory Medicine 220
Countries citing papers authored by Matthew W. Vanneman
This map shows the geographic impact of Matthew W. Vanneman'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 Matthew W. Vanneman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Vanneman more than expected).
Fields of papers citing papers by Matthew W. Vanneman
This network shows the impact of papers produced by Matthew W. Vanneman. 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 Matthew W. Vanneman. The network helps show where Matthew W. Vanneman may publish in the future.
Co-authorship network of co-authors of Matthew W. Vanneman
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Vanneman. A scholar is included among the top collaborators of Matthew W. Vanneman 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 Matthew W. Vanneman. Matthew W. Vanneman 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | Combining immunotherapy and targeted therapies in cancer treatmentbreakdown → | 1221 |
| 20 | 24 |
About Matthew W. Vanneman
Matthew W. Vanneman is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (13 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (903 citations), Oncology (956 citations) and Hematology (164 citations). Matthew W. Vanneman has collaborated with scholars based in United States and Germany. Frequent co-authors include Glenn Dranoff, Donna Neuberg, Jerome Ritz, Masahisa Jinushi, Kenneth C. Anderson, Nikhil C. Munshi, Rao Prabhala, Yu-Tzu Tai, Daniel R. Carrasco and Adam A. Dalia. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and JAMA.
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.