Pablo Mandó

404 citations
27 papers · 191 · h-index 8

Impact in

    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Breast Cancer Treatment Studies

Papers in

Pablo Mandó

24 papers receiving 189 citations

Peers

Pablo Mandó
Comparison fields: 5 of 37
  • Oncology 122
  • Cancer Research 34
  • Immunology 34
  • Radiology, Nuclear Medicine and Imaging 19
  • Pulmonary and Respiratory Medicine 24
Replace Kim Ryan with:
Kim Ryan United States
M.J. Flor Spain
Kristen Labbe United States
Jonas Kuon Germany
Hiltje de Graaf Netherlands
Meixuan Chen United States
Gabriela Sousa Portugal
Ana López‐Alfonso Spain
Gregory Knapp Canada
Kate Lathrop United States
Pablo Mandó relative to Kim Ryan United States Kim Ryan's profile →
Citations per field
00.5×3.7×
Kim Ryan · 1×
Citations per year

Countries citing papers authored by Pablo Mandó

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Mandó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Mandó, 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 Pablo Mandó Line = papers co-authored together Pablo Mandó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 201938
3 202031
4 201811
5 20219
6 20178
7 20187
8 20237
9 20217
10 20226
11 20204
12 20224
13 20174
14 20233
15 20212
16 20222
17 20241
18 20251
19 20231
20 20241

About Pablo Mandó

Pablo Mandó is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Public Health, Environmental and Occupational Health and Epidemiology, having authored 27 papers that have together received 191 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (4 papers), Breast Cancer Treatment Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cancer Cells and Metastasis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (122 citations), Cancer Research (34 citations), Immunology (34 citations), Radiology, Nuclear Medicine and Imaging (19 citations) and Pulmonary and Respiratory Medicine (24 citations). Pablo Mandó has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Manglio Rizzo, Estrella Mariel Levy, Federico Waisberg, Adrián Nervo, Jorge Nadal, José Mordoh, Claudio Martín, Reinaldo Chacón, Mora Amat and Alicia Bravo. Their work appears in journals such as JCO Global Oncology, Critical Reviews in Oncology/Hematology, Cancer Immunology Immunotherapy, OncoTargets and Therapy and Breast Care.

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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