Daniel Diolaiti

3.0k citations
21 papers · 962 · h-index 15

Impact in

Papers in

    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 4
    • Cancer-related gene regulation 3
    • Signaling Pathways in Disease 3
    • Renal and related cancers 2
    • Drug Transport and Resistance Mechanisms 2

Daniel Diolaiti

20 papers receiving 955 citations

Peers

Daniel Diolaiti
Comparison fields: 5 of 83
  • Cancer Research 193
  • Neurology 161
  • Molecular Biology 679
  • Oncology 182
  • Aging 10
Replace Roberto Tonelli with:
Roberto Tonelli Italy
Ngan Ching Cheng Australia
Kristoffer von Stedingk Sweden
Margareta Wilhelm Sweden
Weiyong Sun United States
Fumiko Saito-Ohara Japan
Anthony Natoli Australia
Tobias Sperka Germany
Bercin Kutluk Cenik United States
Daniel Diolaiti relative to Roberto Tonelli Italy Roberto Tonelli's profile →
Citations per field
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Roberto Tonelli · 1×
Citations per year

Countries citing papers authored by Daniel Diolaiti

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Diolaiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015161
2 2005105
3 2010103
4 200788
5 201485
6 201074
7 201071
8 201153
9 201840
10 201138
11 202130
12 200729
13 201922
14 201621
15 201614
16 200713
17 20178
18 20153
19 20183
20 20191

About Daniel Diolaiti

Daniel Diolaiti is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Neurology, having authored 21 papers that have together received 962 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (3 papers), Signaling Pathways in Disease (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Renal and related cancers (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (193 citations), Neurology (161 citations), Molecular Biology (679 citations), Oncology (182 citations) and Aging (10 citations). Daniel Diolaiti has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Robert N. Eisenman, Antônio Porro, Giuliano Della Valle, Giovanni Perini, Patrick A. Carroll, Lisa McFerrin, Michelle Ulrich, Nunzio Iraci, Melissa Conerly and Sheila S. Teves. Their work appears in journals such as Molecular Case Studies, Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Cancer Research and Genes & Development.

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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