Marina Colombi

7.9k total citations
181 papers, 3.7k citations indexed

About

Marina Colombi is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, Marina Colombi has authored 181 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Genetics, 64 papers in Molecular Biology and 36 papers in Cell Biology. Recurrent topics in Marina Colombi's work include Connective tissue disorders research (82 papers), Dermatological and Skeletal Disorders (39 papers) and Cell Adhesion Molecules Research (31 papers). Marina Colombi is often cited by papers focused on Connective tissue disorders research (82 papers), Dermatological and Skeletal Disorders (39 papers) and Cell Adhesion Molecules Research (31 papers). Marina Colombi collaborates with scholars based in Italy, United States and Switzerland. Marina Colombi's co-authors include Marco Ritelli, Nicoletta Zoppi, Sergio Barlati, Nicola Chiarelli, Chiara Dordoni, Rita Gardella, Marco Castori, Marina Venturini, Paola Grammatico and Silvia Morlino and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Marina Colombi

179 papers receiving 3.6k citations

Peers

Marina Colombi
Comparison fields: 5 of 124
  • Genetics 1.8k
  • Molecular Biology 1.1k
  • Cell Biology 524
  • Rheumatology 489
  • Oncology 478
Replace Su‐Li Cheng with:
Su‐Li Cheng United States
Ralph S. Lachman United States
Ralph Lachman United States
Paola Grammatico Italy
Gen Nishimura Japan
Jacky Bonaventure France
Efthimia K. Basdra Greece
Riitta Herva Finland
Natsuo Yasui Japan
Steven Mumm United States
Su‐Li Cheng United States View profile →
Citations per field, relative to Marina Colombi
Marina Colombi · 1×
Citations per year, relative to Marina Colombi
Marina Colombi · 1×

Countries citing papers authored by Marina Colombi

Since Specialization
Citations

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

Fields of papers citing papers by Marina Colombi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Colombi

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Colombi. A scholar is included among the top collaborators of Marina Colombi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marina Colombi. Marina Colombi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 8
4 7
5 4
6 11
7 25
8 33
9 12
10 29
11 27
12 15
13 21
14 8
15 18
16
The Italian Registry of Hereditary Epidermolysis Bullosa
19
17
Collagen type VII (COL7A1) mutation survey and genotype-phenotype correlation in Italian patients affected by dystrophic epidermolysis bullosa
1
18 22
19 41
20 13

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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