Sol Schvartzman

474 total citations
11 papers, 328 citations indexed

About

Sol Schvartzman is a scholar working on Biotechnology, Plant Science and Food Science. According to data from OpenAlex, Sol Schvartzman has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biotechnology, 5 papers in Plant Science and 4 papers in Food Science. Recurrent topics in Sol Schvartzman's work include Listeria monocytogenes in Food Safety (5 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Micronutrient Interactions and Effects (4 papers). Sol Schvartzman is often cited by papers focused on Listeria monocytogenes in Food Safety (5 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Micronutrient Interactions and Effects (4 papers). Sol Schvartzman collaborates with scholars based in Belgium, France and Ireland. Sol Schvartzman's co-authors include Kieran Jordan, Francis Butler, Marc Hanikenne, Nathalie Verbruggen, Massimiliano Corso, Eugeniusz Małkowski, Florence Souard, Flavia Guzzo, Panagiotis Skandamis and Moez Sanaa and has published in prestigious journals such as New Phytologist, BMC Bioinformatics and International Journal of Food Microbiology.

In The Last Decade

Sol Schvartzman

11 papers receiving 325 citations

Peers

Sol Schvartzman

PS

BIOTE

FS

MB

POLLU

Vesna Maksimović Serbia

Stella Debaets France

Tadej ČEPELJNIK Slovenia

H. Rogniaux France

Muhammad Rafiq Asi Pakistan

Isabelle Nadaud France

Jebi Sudan India

Titilayo D. O. Falade Nigeria

Kanjana Imsilp Thailand

Luzia Shundo Brazil

Vesna Maksimović Serbia

Sol Schvartzman

294 ×1.7

PS

65 ×0.6

BIOTE

169 ×1.5

FS

156 ×2.9

MB

23 ×0.5

POLLU

Citations per year, relative to Sol Schvartzman Sol Schvartzman (= 1×) peers Vesna Maksimović

Countries citing papers authored by Sol Schvartzman

Since Specialization

Citations

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

Fields of papers citing papers by Sol Schvartzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sol Schvartzman

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

All Works

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11 of 11 papers shown

1.

Fernandez, Ana, et al.. (2022). MGcount: a total RNA-seq quantification tool to address multi-mapping and multi-overlapping alignments ambiguity in non-coding transcripts. BMC Bioinformatics. 23(1). 39–39. 6 indexed citations

2.

Corso, Massimiliano, Verónica G. Doblas, Sol Schvartzman, et al.. (2021). Adaptation of Arabidopsis halleri to extreme metal pollution through limited metal accumulation involves changes in cell wall composition and metal homeostasis. New Phytologist. 230(2). 669–682. 27 indexed citations

3.

Legrand, Sylvain, Florian Maumus, Sol Schvartzman, et al.. (2019). Differential retention of transposable element-derived sequences in outcrossing Arabidopsis genomes. Mobile DNA. 10(1). 30–30. 24 indexed citations

4.

Schvartzman, Sol, Sophie Gallina, Charles Poncet, et al.. (2019). Genetic architecture of a plant adaptive trait: QTL mapping of intraspecific variation for tolerance to metal pollution in Arabidopsis halleri. Heredity. 122(6). 877–892. 7 indexed citations

5.

Corso, Massimiliano, Sol Schvartzman, Flavia Guzzo, et al.. (2018). Contrasting cadmium resistance strategies in two metallicolous populations of Arabidopsis halleri. New Phytologist. 218(1). 283–297. 86 indexed citations

6.

Schvartzman, Sol, Massimiliano Corso, Cécile Nouet, et al.. (2018). Adaptation to high zinc depends on distinct mechanisms in metallicolous populations of Arabidopsis halleri. New Phytologist. 218(1). 269–282. 56 indexed citations

7.

Schvartzman, Sol, et al.. (2014). Modeling the growth of Listeria monocytogenes on the surface of smear- or mold-ripened cheese. Frontiers in Cellular and Infection Microbiology. 4. 90–90. 23 indexed citations

8.

Schvartzman, Sol, et al.. (2011). Effect of pH and Water Activity on the Growth Limits of Listeria monocytogenes in a Cheese Matrix at Two Contamination Levels. Journal of Food Protection. 74(11). 1805–1813. 34 indexed citations

9.

Jordan, Kieran, et al.. (2010). Predictive models developed in cheese for growth of Listeria monocytogenes. Open Repository and Bibliography (University of Liège). 2 indexed citations

10.

Schvartzman, Sol, et al.. (2010). Comparison of growth limits of Listeria monocytogenes in milk, broth and cheese. Journal of Applied Microbiology. 109(5). no–no. 20 indexed citations

11.

Schvartzman, Sol, et al.. (2010). Modelling the fate of Listeria monocytogenes during manufacture and ripening of smeared cheese made with pasteurised or raw milk. International Journal of Food Microbiology. 145. S31–S38. 43 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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