M T Lotze
- Immunology top 0.5%
- Oncology top 2%
- Molecular Biology top 5%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Walter J. StorkusChristina M. CelluzziLouis D. FaloJosé MayordomoS A RosenbergLaurence ZitvogelCornelis J.M. MeliefAlbert B. DeLeo
- Topics
- Immunotherapy and Immune Responses (22 papers)Cancer Immunotherapy and Biomarkers (14 papers)Immune Cell Function and Interaction (11 papers)
- Cited by
- ImmunologyOncologyGenetics
- Partner nations
- United StatesGermanyMalaysia
In The Last Decade
M T Lotze
54 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 3.5k
- Oncology 1.7k
- Molecular Biology 1.4k
- Genetics 557
- Radiology, Nuclear Medicine and Imaging 427
Countries citing papers authored by M T Lotze
This map shows the geographic impact of M T Lotze'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 M T Lotze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M T Lotze more than expected).
Fields of papers citing papers by M T Lotze
This network shows the impact of papers produced by M T Lotze. 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 M T Lotze. The network helps show where M T Lotze may publish in the future.
Co-authorship network of co-authors of M T Lotze
This figure shows the co-authorship network connecting the top 25 collaborators of M T Lotze. A scholar is included among the top collaborators of M T Lotze 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 M T Lotze. M T Lotze 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 | 144 | |
| 3 | 39 | |
| 4 | 49 | |
| 5 | 1 | |
| 6 | 124 | |
| 7 | Peptide-pulsed dendritic cells induce antigen-specific CTL-mediated protective tumor immunity.breakdown → | 626 |
| 8 | 1 | |
| 9 | 91 | |
| 10 | 228 | |
| 11 | 81 | |
| 12 | Increased in vitro and in vivo tumoricidal activity of a macrophage cell line genetically engineered to express IFN-gamma, IL-4, IL-6, or TNF-alpha. | 15 |
| 13 | Bone marrow-derived dendritic cells pulsed with synthetic tumour peptides elicit protective and therapeutic antitumour immunitybreakdown → | 928 |
| 14 | 53 | |
| 15 | 65 | |
| 16 | In vitro complex formation and biodistribution of mouse antitumor monoclonal antibody in cancer patients. | 34 |
| 17 | 139 | |
| 18 | 13 | |
| 19 | 34 | |
| 20 | 114 |
About M T Lotze
M T Lotze is a scholar working on Immunology, Oncology and Biotechnology, having authored 54 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Immunology (3.5k citations), Oncology (1.7k citations) and Genetics (557 citations). M T Lotze has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Walter J. Storkus, Christina M. Celluzzi, Louis D. Falo, José Mayordomo, S A Rosenberg, Laurence Zitvogel, Cornelis J.M. Melief, Albert B. DeLeo, S T Ildstad and W. Martin Kast. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.
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.