Mora Amat

533 citations
22 papers · 335 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • CAR-T cell therapy research 3
    • HER2/EGFR in Cancer Research 2
    • Cancer Genomics and Diagnostics 5
    • Breast Cancer Treatment Studies 3

Mora Amat

18 papers receiving 333 citations

Peers

Mora Amat
Comparison fields: 5 of 52
  • Immunology 179
  • Oncology 193
  • Cancer Research 43
  • Nutrition and Dietetics 29
  • Hematology 17
Replace Eduardo Huertas with:
Eduardo Huertas Argentina
Alejandro Pairola Argentina
Fernando Sánchez Loria Argentina
Yamila Rocca Argentina
Yoshinari Atarashi Japan
Ming Zheng United States
Jane Straus United States
R. Malayeri Austria
Pauline Evers Netherlands
Yuehua Han China
Mora Amat relative to Eduardo Huertas Argentina Eduardo Huertas's profile →
Citations per field
00.5×1.5×2.2×
Eduardo Huertas · 1×
Citations per year

Countries citing papers authored by Mora Amat

Since Specialization
Citations

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

Fields of papers citing papers by Mora Amat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012116
2 201248
3 201143
4 201541
5 202028
6 20249
7 20229
8 20228
9 20178
10 20237
11 20185
12 20045
13 20232
14 20182
15 20241
16 20181
17 20051
18 20181
19 20240
20 20230

About Mora Amat

Mora Amat is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (5 papers), Breast Cancer Treatment Studies (3 papers), Genetic factors in colorectal cancer (3 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), HER2/EGFR in Cancer Research (2 papers) and Advances in Oncology and Radiotherapy (2 papers). The work is most often cited by research in Immunology (179 citations), Oncology (193 citations), Cancer Research (43 citations), Nutrition and Dietetics (29 citations) and Hematology (17 citations). Mora Amat has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include José Mordoh, Estrella Mariel Levy, Juan Martín Arriaga, Michele Bianchini, María P. Roberti, Yamila Rocca, Luisina Bruno, Alejandro Pairola, Eduardo Huertas and M. Betina Pampena. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Scientific Reports, Innate Immunity and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.

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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