Pietro Ciceri

8.2k citations
14 papers · 2.8k indexed · 1 hit paper · h-index 14
Topics
Plant Reproductive Biology (5 papers)Plant Molecular Biology Research (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
Partner nations
SpainUnited StatesItaly

In The Last Decade

Pietro Ciceri

14 papers receiving 2.7k citations

Hit Papers

Comprehensive analysis of kinase inhibitor selectivity2011202620162021201150010001.5k

Peers

Pietro Ciceri
Comparison fields: 5 of 100
  • Molecular Biology 2.1k
  • Plant Science 750
  • Computational Theory and Mathematics 690
  • Oncology 388
  • Hematology 288
Replace Christin Tse with:
Christin Tse United States
Peter L. Toogood United States
Susan L. Holbeck United States
Peter Traxler Switzerland
Cai‐Hong Yun China
S. Picaud United Kingdom
Shingo Dan Japan
Monica Schenone United States
Theodor W. Schulte United States
Pietro Ciceri relative to Christin Tse United States Christin Tse's profile →
Citations per field
00.5×5.6×
Christin Tse · 1×
Citations per year

Countries citing papers authored by Pietro Ciceri

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Ciceri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Ciceri

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Ciceri. A scholar is included among the top collaborators of Pietro Ciceri 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 Pietro Ciceri. Pietro Ciceri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 261
2 15
3
Comprehensive analysis of kinase inhibitor selectivitybreakdown →
1639
4 82
5 14
6 163
7 28
8 17
9 387
10 34
11 13
12 78
13 66
14 28

About Pietro Ciceri

Pietro Ciceri is a scholar working on Hematology, Plant Science and Molecular Biology, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Reproductive Biology (5 papers), Plant Molecular Biology Research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Computational Theory and Mathematics (690 citations), Molecular Biology (2.1k citations) and Hematology (288 citations). Pietro Ciceri has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Lisa Wodicka, Daniel K. Treiber, Jeremy P. Hunt, Gabriel Pallares, Mindy I. Davis, Patrick P. Zarrinkar, Michael Höcker, Sanna Herrgård, Robert J. Schmidt and Barbara A. Ambrose. Their work appears in journals such as Nature Biotechnology, Molecular Cell and The Plant Cell.

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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