Igor D’Angelo

1.3k citations
21 papers · 1.1k · h-index 15

Impact in

Papers in

    • Neurofibromatosis and Schwannoma Cases 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Structure and Dynamics 3
    • Steroid Chemistry and Biochemistry 2
    • Biochemical and Molecular Research 2
    • Enzyme Catalysis and Immobilization 2

Igor D’Angelo

21 papers receiving 1.1k citations

Peers

Igor D’Angelo
Comparison fields: 5 of 67
  • Geriatrics and Gerontology 45
  • Neurology 122
  • Molecular Biology 548
  • Infectious Diseases 148
  • Radiology, Nuclear Medicine and Imaging 125
Replace Zhuji Fu with:
Zhuji Fu United States
Liang Huang China
Christopher R. Reynolds United Kingdom
Tianlong Zhang China
Jihong Wang China
Eileen Ambing United States
Gautam Agnihotri United States
Sen Zhang China
Oren Moscovitz Germany
Xiaogang Li China
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Citations per field
00.5×5×11.3×
Zhuji Fu · 1×
Citations per year

Countries citing papers authored by Igor D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Igor D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor D’Angelo. 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 Igor D’Angelo. The network helps show where Igor D’Angelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Igor D’Angelo, 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 Igor D’Angelo Line = papers co-authored together Igor D’Angelo 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 2009194
2 2009134
3 2013110
4 2006102
5 2010100
6 200275
7 200071
8 200665
9 201944
10 200343
11 201033
12 201326
13 200925
14 201025
15 201020
16 200715
17 200413
18 200810
19 20218
20 20107

About Igor D’Angelo

Igor D’Angelo is a scholar working on Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Biotechnology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Structure and Dynamics (3 papers), Steroid Chemistry and Biochemistry (2 papers), Biochemical and Molecular Research (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Neurology (122 citations), Molecular Biology (548 citations), Infectious Diseases (148 citations) and Radiology, Nuclear Medicine and Imaging (125 citations). Igor D’Angelo has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Natalie C. J. Strynadka, Lindsay D. Eltis, Klaus Scheffzek, Stefan Welti, Jenna K. Capyk, Fabien Bonneau, Giulio Magni, Menico Rizzi, Victor A. Snieckus and William R. Jacobs. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, mAbs and Human Mutation.

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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