E. Polli

10.4k citations
151 papers · 3.7k · h-index 30

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 20
    • Advanced biosensing and bioanalysis techniques 10
    • RNA Interference and Gene Delivery 8
    • Acute Myeloid Leukemia Research 10

E. Polli

139 papers receiving 3.4k citations

Peers

E. Polli
Comparison fields: 5 of 137
  • Genetics 757
  • Developmental Neuroscience 245
  • Nuclear and High Energy Physics 623
  • Hematology 424
  • Radiation 268
Replace Kenneth J. Cohen with:
Kenneth J. Cohen United States
Jean‐François Côté Canada
G. M. Bydder United Kingdom
Yusuke Furukawa Japan
Deborah J. Henderson United Kingdom
John de Groot United States
Glyn Johnson United States
Tomokazu Fukuda Japan
Chantal Rémy France
Takashi Fujiwara Japan
E. Polli relative to Kenneth J. Cohen United States Kenneth J. Cohen's profile →
Citations per field
00.5×7.4×
Kenneth J. Cohen · 1×
Citations per year

Countries citing papers authored by E. Polli

Since Specialization
Citations

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

Fields of papers citing papers by E. Polli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992242
2 1957207
3 2005181
4 1993170
5 1970165
6 2010130
7 2009126
8 2008103
9
Structural alterations of the NF-kappa B transcription factor lyt-10 in lymphoid malignancies.
199392
10 198589
11 197187
12 200785
13 196885
14 199673
15 199068
16 196767
17 197967
18 197063
19 199460
20 197249

About E. Polli

E. Polli is a scholar working on Molecular Biology, Hematology, Genetics, Radiation and Nuclear and High Energy Physics, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (20 papers), Nuclear Physics and Applications (11 papers), Nuclear physics research studies (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), Acute Myeloid Leukemia Research (10 papers), RNA Interference and Gene Delivery (8 papers), Mesenchymal stem cell research (8 papers) and Nuclear reactor physics and engineering (8 papers). The work is most often cited by research in Genetics (757 citations), Developmental Neuroscience (245 citations), Nuclear and High Energy Physics (623 citations), Hematology (424 citations) and Radiation (268 citations). E. Polli has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Gianmarco Corneo, Enrico Ginelli, F Celada, R Ceppellini, Yvan Torrente, Luca Baldini, Vincenzo Silani, Antonino Neri, Cinzia Calzarossa and Lidia Cova. Their work appears in journals such as Acta Haematologica, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Blood, Cancer and Journal of Molecular Biology.

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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