Sergio Conti

568 total citations
10 papers, 393 citations indexed

About

Sergio Conti is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Sergio Conti has authored 10 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Genetics and 6 papers in Agronomy and Crop Science. Recurrent topics in Sergio Conti's work include Genetics and Plant Breeding (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Crop Yield and Soil Fertility (6 papers). Sergio Conti is often cited by papers focused on Genetics and Plant Breeding (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Crop Yield and Soil Fertility (6 papers). Sergio Conti collaborates with scholars based in Italy. Sergio Conti's co-authors include Roberto Tuberosa, Maria Corinna Sanguineti, Pierangelo Landi, Silvio Salvi, Marcella Michela Giuliani, Silvia Giuliani, Massimo Bellotti, Enrico Noli, Marco Maccaferri and Elisabetta Frascaroli and has published in prestigious journals such as Plant Molecular Biology, Crop Science and Euphytica.

In The Last Decade

Sergio Conti

10 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sergio Conti Italy	6	388	160	102	25	9	10	393
Massimo Bellotti Italy	5	318 0.8×	143 0.9×	94 0.9×	27 1.1×	6 0.7×	6	324
M. R. Jalal Kamali Iran	8	284 0.7×	116 0.7×	100 1.0×	18 0.7×	5 0.6×	26	297
Maria Angela Cané Italy	8	555 1.4×	326 2.0×	118 1.2×	30 1.2×	7 0.8×	12	570
Huma Bahri Tunisia	3	321 0.8×	104 0.7×	65 0.6×	21 0.8×	11 1.2×	6	332
A. K. Sarial India	9	410 1.1×	180 1.1×	78 0.8×	37 1.5×	10 1.1×	23	429
Francis M. Kirigwi United States	5	324 0.8×	133 0.8×	109 1.1×	21 0.8×	13 1.4×	6	346
You GuangXia China	9	410 1.1×	256 1.6×	69 0.7×	16 0.6×	6 0.7×	15	425
Guillermo Gerard Mexico	12	260 0.7×	92 0.6×	97 1.0×	14 0.6×	14 1.6×	30	303
Stella Hubbart‐Edwards United Kingdom	13	351 0.9×	89 0.6×	38 0.4×	52 2.1×	18 2.0×	17	366
Eric Dinglasan Australia	13	517 1.3×	162 1.0×	92 0.9×	58 2.3×	8 0.9×	32	542

Countries citing papers authored by Sergio Conti

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Conti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Conti

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

All Works

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10 of 10 papers shown

Noli, Enrico, et al.. (2013). Criteria for the definition of similarity thresholds for identifying essentially derived varieties. Plant Breeding. 132(6). 525–531. 14 indexed citations

Noli, Enrico, et al.. (2011). Identification of a threshold level to assess essential derivation in durum wheat. Molecular Breeding. 29(3). 687–698. 9 indexed citations

Noli, Enrico, et al.. (2010). Reliability of Early and Final Counts in Cold and Cool Germination Tests for Predicting Maize Seed Vigour. Italian Journal of Agronomy. 5(4). 383–391. 3 indexed citations

Tuberosa, Roberto, Silvio Salvi, Silvia Giuliani, et al.. (2007). Genome‐wide Approaches to Investigate and Improve Maize Response to Drought. Crop Science. 47(S3). 40 indexed citations

Tuberosa, Roberto, Elisabetta Frascaroli, Silvio Salvi, et al.. (2005). QTLs for tolerance to abiotic stresses in maize: present status and prospects. Maydica. 50. 559–569. 8 indexed citations

Landi, Pierangelo, Maria Corinna Sanguineti, Silvio Salvi, et al.. (2005). Validation and characterization of a major QTL affecting leaf ABA concentration in maize. Molecular Breeding. 15(3). 291–303. 45 indexed citations

Frascaroli, Elisabetta, et al.. (2005). Response of maize inbred lines to a defoliation treatment inducing tolerance to cold at germination. Euphytica. 145(3). 295–303. 3 indexed citations

Salvi, Silvio, Massimo Bellotti, Sergio Conti, et al.. (2005). The art and science of cloning QTLs in plants. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 327–345. 1 indexed citations

Milanesi, Claudio, et al.. (2004). Distinctness among lines of durum wheat based on morphological and molecular characteristics. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 156–156. 1 indexed citations

10.

Tuberosa, Roberto, Maria Corinna Sanguineti, Pierangelo Landi, et al.. (2002). Identification of QTLs for root characteristics in maize grown in hydroponics and analysis of their overlap with QTLs for grain yield in the field at two water regimes. Plant Molecular Biology. 48(5-6). 697–712. 269 indexed citations

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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