Erich Piovan

1.4k citations
33 papers · 920 · h-index 16

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 6
    • Hedgehog Signaling Pathway Studies 3
    • Chemokine receptors and signaling 4
    • CAR-T cell therapy research 3

Erich Piovan

33 papers receiving 902 citations

Peers

Erich Piovan
Comparison fields: 5 of 78
  • Immunology 301
  • Genetics 114
  • Oncology 280
  • Cancer Research 133
  • Pathology and Forensic Medicine 139
Replace Mark W. Brunvand with:
Mark W. Brunvand United States
Rachel Koldej Australia
Carol F. Webb United States
Brandon Harder United States
Wim Vos Netherlands
Chuanxin Huang China
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Agnès Moreau‐Aubry France
Ludovica Riera Italy
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Erich Piovan

Since Specialization
Citations

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

Fields of papers citing papers by Erich Piovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 2007124
3 200687
4 200473
5 201759
6
Gene transfer in ovarian cancer cells: a comparison between retroviral and lentiviral vectors.
200249
7 200641
8 200735
9 200433
10 199828
11 199023
12 200821
13 200219
14 202017
15 202115
16 201515
17 201814
18 201614
19 201714
20 202013

About Erich Piovan

Erich Piovan is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Cancer Research, having authored 33 papers that have together received 920 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Epigenetics and DNA Methylation (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Chemokine receptors and signaling (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Hedgehog Signaling Pathway Studies (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (301 citations), Genetics (114 citations), Oncology (280 citations), Cancer Research (133 citations) and Pathology and Forensic Medicine (139 citations). Erich Piovan has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Alberto Amadori, Valeria Tosello, L. Stievano, Stefano Indraccolo, Luigi Chieco‐Bianchi, Rita Zamarchi, Sonia Minuzzo, Giovanni Esposito, Roberto Marzari and Claudio Tripodo. Their work appears in journals such as International Journal of Molecular Sciences, Blood, Leukemia, Proceedings of the National Academy of Sciences and Cancer Research.

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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