Gianluca Molla

5.0k citations
104 papers · 4.0k · h-index 38

Impact in

Papers in

    • Polyamine Metabolism and Applications 42
    • Epigenetics and DNA Methylation 19
    • Steroid Chemistry and Biochemistry 8
    • Amino Acid Enzymes and Metabolism 74

Gianluca Molla

102 papers receiving 4.0k citations

Peers

Gianluca Molla
Comparison fields: 5 of 121
  • Biochemistry 2.3k
  • Biological Psychiatry 284
  • Clinical Biochemistry 680
  • Molecular Biology 2.7k
  • Pollution 269
Replace Mirella S. Pilone with:
Mirella S. Pilone Italy
Elena Rosini Italy
John V. Schloss United States
Giovanni Gadda United States
Colin Levy United Kingdom
В. И. Тишков Russia
Roderich Brandsch Germany
Luciano Piubelli Italy
Cintia Roodveldt Spain
Hideyuki Hayashi Japan
Gianluca Molla relative to Mirella S. Pilone Italy Mirella S. Pilone's profile →
Citations per field
00.5×7.7×
Mirella S. Pilone · 1×
Citations per year

Countries citing papers authored by Gianluca Molla

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Molla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007294
2 2000173
3 2020165
4 2008128
5 2007123
6 2006122
7 2011117
8 2013111
9 2002108
10 201285
11 200278
12 201377
13 200976
14 200471
15 200167
16 200865
17 199865
18 200964
19 201763
20 202161

About Gianluca Molla

Gianluca Molla is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Clinical Biochemistry and Pollution, having authored 104 papers that have together received 4.0k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (74 papers), Polyamine Metabolism and Applications (42 papers), Enzyme Structure and Function (29 papers), Metabolism and Genetic Disorders (21 papers), Epigenetics and DNA Methylation (19 papers), Steroid Chemistry and Biochemistry (8 papers), Microplastics and Plastic Pollution (7 papers) and Recycling and Waste Management Techniques (7 papers). The work is most often cited by research in Biochemistry (2.3k citations), Biological Psychiatry (284 citations), Clinical Biochemistry (680 citations), Molecular Biology (2.7k citations) and Pollution (269 citations). Gianluca Molla has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Loredano Pollegioni, Mirella S. Pilone, Silvia Sacchi, Elena Rosini, Luciano Piubelli, Sandro Ghisla, Laura Caldinelli, Gianluca Tomasello, Ilaria Armenia and Kay Diederichs. Their work appears in journals such as FEBS Journal, Journal of Biological Chemistry, Protein Expression and Purification, Biochimie and Protein Science.

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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