G. Pontecorvo

5.1k citations
42 papers · 3.6k indexed · 2 hit papers · h-index 16
Topics
Fungal Biology and Applications (4 papers)Fungal and yeast genetics research (4 papers)Mycorrhizal Fungi and Plant Interactions (3 papers)

In The Last Decade

G. Pontecorvo

36 papers receiving 3.3k citations

Hit Papers

The Genetics of Aspergillus nidulans19532026197720011953197550010001.5k

Peers

G. Pontecorvo
Comparison fields: 5 of 131
  • Molecular Biology 2.4k
  • Plant Science 1.4k
  • Cell Biology 761
  • Pharmacology 626
  • Genetics 366
Replace Jan S. Tkacz with:
Jan S. Tkacz United States
José L. Reissig United States
Selman A. Waksman United States
Yasuji Oshima Japan
Michael J. Kershaw United Kingdom
Thomas H. Adams United States
Juan Leal Spain
Robert Dudler Switzerland
Stuart W. Tanenbaum United States
C W Tabor United States
G. Pontecorvo relative to Jan S. Tkacz United States Jan S. Tkacz's profile →
Citations per field
00.5×3.1×
Jan S. Tkacz · 1×
Citations per year

Countries citing papers authored by G. Pontecorvo

Since Specialization
Citations

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

Fields of papers citing papers by G. Pontecorvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Pontecorvo

This figure shows the co-authorship network connecting the top 25 collaborators of G. Pontecorvo. A scholar is included among the top collaborators of G. Pontecorvo 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 G. Pontecorvo. G. Pontecorvo 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
#WorkIndexed citations
1
Microbial genetics: retrospect and prospect
0
2 55
3 2
4 1
5 1
6 1
7 191
8 2
9 221
10
Mapping the chromosomes by means of mitotic recombination
11
11 239
12 1
13 2
14 74
15
Mitotic recombination in the genetic systems of filamentous fungi
18
16
The Genetics of Aspergillus nidulansbreakdown →
1971
17 1
18 6
19
Genetical analysis of cell organisation
6
20 19

About G. Pontecorvo

G. Pontecorvo is a scholar working on Plant Science, Pharmacology and Molecular Biology, having authored 42 papers that have together received 3.6k indexed citations. Recurring topics across this work include Fungal Biology and Applications (4 papers), Fungal and yeast genetics research (4 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). The work is most often cited by research in Cell Biology (761 citations), Plant Science (1.4k citations) and Pharmacology (626 citations). G. Pontecorvo has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. A. Roper, K. D. Macdonald, Etta Käfer, Arthur G. Steinberg, Emma Forbes, G Sermonti, Rody P. Cox, Peter N. Riddle, Bruna De Felice and Robert C. Pritchard. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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