Victoria Love
- Immunology top 10%
- Oncology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Andrew H. LichtmanJennifer R. AllportMoritz F. KircherLee JosephsonRalph WeisslederEdward E. GravesNir GrabieGeorge Stavrakis
- Topics
- T-cell and B-cell Immunology (4 papers)Viral Infections and Immunology Research (3 papers)CAR-T cell therapy research (3 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Victoria Love
12 papers receiving 880 citations
Peers
Comparison fields: 5 of 114
- Immunology 391
- Oncology 281
- Molecular Biology 215
- Radiology, Nuclear Medicine and Imaging 186
- Cardiology and Cardiovascular Medicine 119
Countries citing papers authored by Victoria Love
This map shows the geographic impact of Victoria Love'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 Victoria Love with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Love more than expected).
Fields of papers citing papers by Victoria Love
This network shows the impact of papers produced by Victoria Love. 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 Victoria Love. The network helps show where Victoria Love may publish in the future.
Co-authorship network of co-authors of Victoria Love
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Love. A scholar is included among the top collaborators of Victoria Love 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 Victoria Love. Victoria Love is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 110 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 80 | |
| 6 | 88 | |
| 7 | In vivo high resolution three-dimensional imaging of antigen-specific cytotoxic T-lymphocyte trafficking to tumors. | 294 |
| 8 | 83 | |
| 9 | The effect of aloe vera gel/mild soap versus mild soap alone in preventing skin reactions in patients undergoing radiation therapy. | 108 |
| 10 | 29 | |
| 11 | 42 | |
| 12 | Decreased frequency of rearrangement due to the synergistic effect of nucleotide changes in the heptamer and nonamer of the recombination signal sequence of the V kappa gene A2b, which is associated with increased susceptibility of Navajos to Haemophilus influenzae type b disease. | 49 |
About Victoria Love
Victoria Love is a scholar working on Microbiology, Immunology and Earth-Surface Processes, having authored 12 papers that have together received 904 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Viral Infections and Immunology Research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (391 citations), Oncology (281 citations) and Radiology, Nuclear Medicine and Imaging (186 citations). Victoria Love has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Andrew H. Lichtman, Jennifer R. Allport, Moritz F. Kircher, Lee Josephson, Ralph Weissleder, Edward E. Graves, Nir Grabie, George Stavrakis, Ann J. Feeney and Ferhaan Ahmad. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Circulation 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.