Michael DiDonato

2.8k citations
20 papers · 897 · h-index 12

Impact in

    • Trace Elements in Health
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Michael DiDonato

19 papers receiving 882 citations

Peers

Michael DiDonato
Comparison fields: 5 of 90
  • Nutrition and Dietetics 353
  • Neurology 180
  • Health, Toxicology and Mutagenesis 158
  • Neurology 70
  • Oncology 196
Replace Jeffrey T. Rubino with:
Jeffrey T. Rubino Italy
Tatiana Kozyreva Italy
Ruby Leah B. Casareno United States
Kerstin Diekert Germany
Jenifer S. Calvo United States
C.K. Bruns United States
Francesca Polizio Italy
Ed Luk United States
I. B. Mahadevan Australia
Chi-Lin Tsai United States
Michael DiDonato relative to Jeffrey T. Rubino Italy Jeffrey T. Rubino's profile →
Citations per field
00.5×1.7×
Jeffrey T. Rubino · 1×
Citations per year

Countries citing papers authored by Michael DiDonato

Since Specialization
Citations

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

Fields of papers citing papers by Michael DiDonato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003175
2 1997159
3 1997131
4 2008100
5 200094
6 200267
7 201839
8 200433
9 200832
10 200223
11 201517
12 201314
13 20144
14 20092
15 19992
16 20202
17 20151
18 20061
19 20251
20 20250

About Michael DiDonato

Michael DiDonato is a scholar working on Molecular Biology, Oncology, Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Neurology, having authored 20 papers that have together received 897 indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Heavy Metal Exposure and Toxicity (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Lung Cancer Treatments and Mutations (3 papers), Alzheimer's disease research and treatments (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Nutrition and Dietetics (353 citations), Neurology (180 citations), Health, Toxicology and Mutagenesis (158 citations), Neurology (70 citations) and Oncology (196 citations). Michael DiDonato has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Bibudhendra Sarkar, Suree Narindrasorasak, John A. Tainer, Elizabeth D. Getzoff, Diane W. Cox, C.K. Bruns, John Forbes, Lawrence Que, M.M. Thayer and Rosa M. F. Cardoso. Their work appears in journals such as Journal of Molecular Biology, Cancer Research, Journal of Biological Chemistry, Nature Communications 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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