Giulia Morra

2.1k citations
61 papers · 1.7k · h-index 24

Impact in

Papers in

Giulia Morra

57 papers receiving 1.7k citations

Peers

Giulia Morra
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 380
  • Molecular Biology 1.5k
  • Physical and Theoretical Chemistry 132
  • Aging 14
  • Cell Biology 115
Replace Seth F. Harris with:
Seth F. Harris United States
James O. Wrabl United States
Guillermo Senisterra Canada
Eric B. Bertelsen United States
Wendy Lea United States
P. Dokurno United Kingdom
Joseph E. Coyle United States
Edmund D. Matayoshi United States
James K. Kranz United States
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Citations per field
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Citations per year

Countries citing papers authored by Giulia Morra

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Morra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 2009130
3 2012102
4 201079
5 201875
6 200874
7 201070
8 201660
9 200853
10 200953
11 200353
12 201953
13 201750
14 201249
15 200846
16 200941
17 201240
18 201437
19 202037
20 201636

About Giulia Morra

Giulia Morra is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Physical and Theoretical Chemistry, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Heat shock proteins research (15 papers), Computational Drug Discovery Methods (14 papers), Enzyme Structure and Function (12 papers), Receptor Mechanisms and Signaling (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), thermodynamics and calorimetric analyses (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (380 citations), Molecular Biology (1.5k citations), Physical and Theoretical Chemistry (132 citations), Aging (14 citations) and Cell Biology (115 citations). Giulia Morra has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giorgio Colombo, Gennady M. Verkhivker, Massimiliano Meli, Alessandro Genoni, Ernst‐Walter Knapp, Elisabetta Moroni, Raffaello Potestio, Cristian Micheletti, George Khelashvili and Guido Scarabelli. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, PLoS Computational Biology, Journal of Chemical Information and Modeling and Current Topics in Medicinal Chemistry.

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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