Victoria Schad

776 total citations
13 papers, 628 citations indexed

About

Victoria Schad is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Victoria Schad has authored 13 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Victoria Schad's work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (4 papers). Victoria Schad is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (4 papers). Victoria Schad collaborates with scholars based in United States and Germany. Victoria Schad's co-authors include W. Frank, Richard Lucius, B. Bilger, Johannes Schäfer, J L Greenstein, Richard P. Phipps, Melissa A. Edwards, Thomas J. Briner, Barbara S. Fox and Kerry M. Black and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.

In The Last Decade

Victoria Schad

13 papers receiving 610 citations

Peers

Victoria Schad
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 202
  • Immunology 161
  • Surgery 136
  • Molecular Biology 129
  • Parasitology 110
Replace Rana A. K. Singh with:
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B A Kruskal United States
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Hélène Schroeder Belgium
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Wen-Cheng Chung Taiwan
Jean-Noël Billaud United States
Rana A. K. Singh United States View profile →
Citations per field, relative to Victoria Schad
Victoria Schad · 1×
Citations per year, relative to Victoria Schad
Victoria Schad · 1×

Countries citing papers authored by Victoria Schad

Since Specialization
Citations

This map shows the geographic impact of Victoria Schad'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 Schad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Schad more than expected).

Fields of papers citing papers by Victoria Schad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria Schad. 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 Schad. The network helps show where Victoria Schad may publish in the future.

Co-authorship network of co-authors of Victoria Schad

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Schad. A scholar is included among the top collaborators of Victoria Schad 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 Schad. Victoria Schad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 4
2 184
3
An anti-CD2 monoclonal antibody that elicits alloantigen-specific hyporesponsiveness.
6
4 215
5 1
6 13
7 33
8 97
9 26
10 2
11 20
12 6
13 21

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.

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