Chiara Indiani

2.0k citations
30 papers · 1.6k · h-index 22

Impact in

    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Photosynthetic Processes and Mechanisms
    • Genomics and Chromatin Dynamics
    • Hemoglobin structure and function

Papers in

Chiara Indiani

30 papers receiving 1.6k citations

Peers

Chiara Indiani
Comparison fields: 5 of 90
  • Molecular Biology 1.2k
  • Cell Biology 252
  • Electrochemistry 85
  • Genetics 350
  • Molecular Medicine 61
Replace Francisco J. Medrano with:
Francisco J. Medrano Spain
David Cobessi France
Gareth Butland United States
Gang‐Won Cheong South Korea
Ross A. Edwards Canada
Luca Signor France
Marián Fabián United States
Ingar Leiros Norway
Jan‐Willem L. de Gier Sweden
Mark Okon Canada
Chiara Indiani relative to Francisco J. Medrano Spain Francisco J. Medrano's profile →
Citations per field
00.5×3.0×
Francisco J. Medrano · 1×
Citations per year

Countries citing papers authored by Chiara Indiani

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Indiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005161
2 2003147
3 2006147
4 2014132
5 2001116
6 200992
7 200186
8 200164
9 200858
10 201956
11 200953
12 200452
13 200546
14 200044
15 200040
16 199837
17 200033
18 200128
19 201328
20 199926

About Chiara Indiani

Chiara Indiani is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Plant Science, Cell Biology and Atomic and Molecular Physics, and Optics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (10 papers), Electrochemical sensors and biosensors (9 papers), Photosynthetic Processes and Mechanisms (8 papers), DNA Repair Mechanisms (8 papers), Hemoglobin structure and function (6 papers), Bacterial Genetics and Biotechnology (4 papers), Genomics and Chromatin Dynamics (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (252 citations), Electrochemistry (85 citations), Genetics (350 citations) and Molecular Medicine (61 citations). Chiara Indiani has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Mike O’Donnell, Giulietta Smulevich, Myron F. Goodman, Alessandro Feis, Lance D. Langston, Roxana E. Georgescu, Megan J. Davey, Barry D. Howes, Olga Yurieva and Karen G. Welinder. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Inorganic Biochemistry.

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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