I. D’Angelo

1.3k citations
23 papers · 1.1k · h-index 16

Impact in

Papers in

    • Melanoma and MAPK Pathways 4
    • Biochemical and Molecular Research 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Enzyme Structure and Function 6

I. D’Angelo

23 papers receiving 1.0k citations

Peers

I. D’Angelo
Comparison fields: 5 of 83
  • Pharmacology 196
  • Geriatrics and Gerontology 51
  • Molecular Biology 756
  • Physiology 44
  • Infectious Diseases 127
Replace Hongyan Liu with:
Hongyan Liu China
Prasanthi Karna United States
Melis Kartal Yandım Türkiye
Dinesh Thummuri India
Naokatu Arakaki Japan
Guohui Cui China
Qinghua Yao China
Chunlai Nie China
Shuvomoy Banerjee India
Shunqin Zhu China
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Citations per field
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Citations per year

Countries citing papers authored by I. D’Angelo

Since Specialization
Citations

This map shows the geographic impact of I. 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 I. 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 I. D’Angelo more than expected).

Fields of papers citing papers by I. D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I. 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 I. D’Angelo Line = papers co-authored together I. 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009182
2 2009125
3 201397
4 200695
5 201089
6 200273
7 200070
8 200661
9 200341
10 201941
11 201035
12 201324
13 201023
14 200923
15 201020
16 200715
17 200411
18 20229
19 20107
20 20216

About I. D’Angelo

I. D’Angelo is a scholar working on Molecular Biology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Neurology and Oncology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Melanoma and MAPK Pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neuroblastoma Research and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Biochemical and Molecular Research (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Pharmacology (196 citations), Geriatrics and Gerontology (51 citations), Molecular Biology (756 citations), Physiology (44 citations) and Infectious Diseases (127 citations). I. D’Angelo has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include N.C.J. Strynadka, Lindsay D. Eltis, Klaus Scheffzek, Stefan Welti, Jenna K. Capyk, Fabien Bonneau, Menico Rizzi, Giulio Magni, Paul J. Converse and Katherine C. Yam. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Biochemistry, mAbs and PLoS ONE.

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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