D.G. Mita

155 papers receiving 4.6k citations

Peers

D.G. Mita
Comparison fields: 5 of 123
  • Health, Toxicology and Mutagenesis 975
  • Bioengineering 65
  • Water Science and Technology 446
  • Molecular Biology 1.5k
  • Physiology 80
Replace DOUGLAS D. PERRIN with:
DOUGLAS D. PERRIN Australia
Stephen J. Haswell United Kingdom
Timothy W. Collette United States
Harry Morris United Kingdom
Libuše Trnková Czechia
Honglan Shi United States
Malcolm N. Jones United Kingdom
Michael G. Weller Germany
Ning Zhang China
Yuan Hui Zhao China
D.G. Mita relative to DOUGLAS D. PERRIN Australia DOUGLAS D. PERRIN's profile →
Citations per field
00.5×2×4×6×7.8×
DOUGLAS D. PERRIN · 1×
Citations per year

Countries citing papers authored by D.G. Mita

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Mita. 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 D.G. Mita. The network helps show where D.G. Mita may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 2019136
3 2010129
4 2007127
5 2010125
6 2016109
7 2010106
8 201390
9 200884
10 199883
11 201479
12 199876
13 201473
14 201271
15 201569
16 201065
17 201063
18 201563
19 201661
20 200657

About D.G. Mita

D.G. Mita is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Water Science and Technology, Physiology and Biophysics, having authored 155 papers that have together received 4.8k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (57 papers), Effects and risks of endocrine disrupting chemicals (29 papers), Electrochemical sensors and biosensors (15 papers), Membrane Separation Technologies (14 papers), Enzyme-mediated dye degradation (10 papers), Field-Flow Fractionation Techniques (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Reproductive biology and impacts on aquatic species (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (975 citations), Bioengineering (65 citations), Water Science and Technology (446 citations), Molecular Biology (1.5k citations) and Physiology (80 citations). D.G. Mita has collaborated with scholars based in Italy, Bulgaria and Netherlands. Frequent co-authors include Marianna Portaccio, Nadia Diano, Umberto Bencivenga, Luigi Mita, Maria Antonietta Lepore, F.S. Gaeta, Carla Nicolucci, Ciro Menale, Danila Moscone and M.S. Mohy Eldin. Their work appears in journals such as Journal of Molecular Catalysis B Enzymatic, Journal of Membrane Science, Biotechnology Progress, Biosensors and Bioelectronics and General and Comparative Endocrinology.

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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