Marianela Candolfi

2.5k citations
61 papers · 1.8k indexed · h-index 22
  • Genetics top 2%
    • Glioma Diagnosis and Treatment 17
    • Virus-based gene therapy research 10
  • Immunology top 5%
    • Immunotherapy and Immune Responses 12
    • Immune cells in cancer 9
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers 8
    • CAR-T cell therapy research 7
  • Neurology top 10%
    • GDF15 and Related Biomarkers 8
    • Cancer Research and Treatments 7

Marianela Candolfi

57 papers receiving 1.8k citations

Peers

Marianela Candolfi
Comparison fields: 5 of 100
  • Genetics 445
  • Immunology 638
  • Oncology 446
  • Neurology 125
  • Cancer Research 206
Replace Lin Cheng with:
Lin Cheng China
Giuseppe Lamorte Italy
Maurizio Gelati Italy
Tadahisa Shono Japan
Chung Kwon Kim South Korea
Claudio Scuoppo United States
Su Yang China
Pierre de la Grange France
Xiangqi Meng China
Shiming He China
Marianela Candolfi relative to Lin Cheng China Lin Cheng's profile →
Citations per field
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Lin Cheng · 1×
Citations per year

Countries citing papers authored by Marianela Candolfi

Since Specialization
Citations

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

Fields of papers citing papers by Marianela Candolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20242
6 202312
7 202310
8 20234
9 20231
10 20218
11 20209
12 202017
13 201842
14 201715
15 201747
16 201428
17 201416
18 200980
19 2009288
20 200238

About Marianela Candolfi

Marianela Candolfi is a scholar working on Genetics, Immunology and Oncology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Immunotherapy and Immune Responses (12 papers), Virus-based gene therapy research (10 papers), Immune cells in cancer (9 papers), GDF15 and Related Biomarkers (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Research and Treatments (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Genetics (445 citations), Immunology (638 citations) and Oncology (446 citations). Marianela Candolfi has collaborated with scholars based in Argentina, United States and Japan. Frequent co-authors include María G. Castro, Pedro R. Löwenstein, Adriana Seilicovich, James F. Curtin, Daniel Pisera, Antonela S. Asad, Gabriela Jaita, Hikmat Assi, Neha Kamran and Alejandro J. Nicola Candia.

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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