José Mayordomo

18.8k citations
80 papers · 4.9k indexed · 4 hit papers · h-index 24

José Mayordomo

78 papers receiving 4.8k citations

Hit Papers

Phase II Randomized Study of Neoadjuvant Everol...5041995202620052015250500750

Peers

José Mayordomo
Comparison fields: 5 of 105
  • Immunology 2.8k
  • Oncology 2.4k
  • Cancer Research 492
  • Molecular Biology 1.8k
  • Genetics 647
Replace Carel J.M. van Noesel with:
Carel J.M. van Noesel Netherlands
Leah Haworth United States
Jon M. Wigginton United States
Joseph F. Grosso United States
Scott K. Pruitt United States
Samir N. Khleif United States
Jens Atzpodien Germany
Andrew J. Long United States
Sapna P. Patel United States
Brenda J. Weigel United States
José Mayordomo relative to Carel J.M. van Noesel Netherlands Carel J.M. van Noesel's profile →
Citations per field
00.5×1.5×
Carel J.M. van Noesel · 1×
Citations per year

Countries citing papers authored by José Mayordomo

Since Specialization
Citations

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

Fields of papers citing papers by José Mayordomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside José Mayordomo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with José Mayordomo Line = papers co-authored together José Mayordomo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20128
3 200910
4 200842
5 2007169
6 200739
7 20078
8 20069
9 2004131
10 200418
11 2001121
12 200115
13 20009
14
Peptide-pulsed dendritic cells induce antigen-specific CTL-mediated protective tumor immunity.breakdown →
1996626
15 199671
16
Therapy of murine tumors with tumor peptide-pulsed dendritic cells: dependence on T cells, B7 costimulation, and T helper cell 1-associated cytokines.breakdown →
1996717
17 1996204
18 1995100
19 199423
20 199443

About José Mayordomo

José Mayordomo is a scholar working on Oncology, Cancer Research and Dermatology, having authored 80 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (28 papers), HER2/EGFR in Cancer Research (19 papers), Breast Cancer Treatment Studies (15 papers), Advanced Breast Cancer Therapies (14 papers), Immunotherapy and Immune Responses (11 papers), Neutropenia and Cancer Infections (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (2.4k citations) and Cancer Research (492 citations). José Mayordomo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Walter J. Storkus, Albert B. DeLeo, Laurence Zitvogel, Christina M. Celluzzi, Louis D. Falo, M T Lotze, Michael T. Lotze, Martha Clarke, Tjendimin Tjandrawan and Tatiana Zorina. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Breast Cancer, Cancer Research and Clinical & Translational Oncology.

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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