F Solomon

1.8k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

F Solomon is a scholar working on Endocrinology, Food Science and Genetics. According to data from OpenAlex, F Solomon has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 4 papers in Food Science and 3 papers in Genetics. Recurrent topics in F Solomon's work include Vibrio bacteria research studies (6 papers), Salmonella and Campylobacter epidemiology (4 papers) and Escherichia coli research studies (3 papers). F Solomon is often cited by papers focused on Vibrio bacteria research studies (6 papers), Salmonella and Campylobacter epidemiology (4 papers) and Escherichia coli research studies (3 papers). F Solomon collaborates with scholars based in United States and Puerto Rico. F Solomon's co-authors include Eduardo A. Groisman, Fernando C. Soncini, H Ochman, Eleonora Garcı́a Véscovi, Anne‐Béatrice Blanc‐Potard, Fred Heffron, Janelle M. Hare, Igor Zwir, Akinori Kato and Kunihiko Nishino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology and Plant Biotechnology Journal.

In The Last Decade

F Solomon

8 papers receiving 1.4k citations

Hit Papers

Identification of a pathogenicity island required for Sal... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F Solomon United States 8 775 690 403 389 267 8 1.4k
C Coynault France 16 628 0.8× 471 0.7× 293 0.7× 402 1.0× 396 1.5× 33 1.3k
H Ochman United States 6 732 0.9× 631 0.9× 203 0.5× 272 0.7× 248 0.9× 9 1.1k
Carsten Kröger Ireland 17 574 0.7× 469 0.7× 382 0.9× 543 1.4× 402 1.5× 31 1.3k
Eirwen Morgan United Kingdom 12 639 0.8× 416 0.6× 159 0.4× 218 0.6× 263 1.0× 18 950
Angela M. Prouty United States 13 469 0.6× 437 0.6× 216 0.5× 475 1.2× 152 0.6× 14 1.1k
Kristin Ehrbar Switzerland 10 521 0.7× 529 0.8× 214 0.5× 243 0.6× 214 0.8× 11 936
Isabelle Virlogeux‐Payant France 20 666 0.9× 358 0.5× 142 0.4× 308 0.8× 175 0.7× 47 1.3k
Eliane Milohanic France 17 675 0.9× 212 0.3× 265 0.7× 709 1.8× 157 0.6× 22 1.7k
Andrei V. Perepelov Russia 16 211 0.3× 740 1.1× 207 0.5× 473 1.2× 408 1.5× 79 1.2k
Marija Tauschek Australia 23 381 0.5× 1.2k 1.7× 378 0.9× 407 1.0× 182 0.7× 36 1.6k

Countries citing papers authored by F Solomon

Since Specialization
Citations

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

Fields of papers citing papers by F Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Solomon

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

All Works

8 of 8 papers shown
1.
Beyene, Getu, F Solomon, Raj Deepika Chauhan, et al.. (2017). Provitamin A biofortification of cassava enhances shelf life but reduces dry matter content of storage roots due to altered carbon partitioning into starch. Plant Biotechnology Journal. 16(6). 1186–1200. 55 indexed citations
2.
Zwir, Igor, Dongwoo Shin, Akinori Kato, et al.. (2005). Dissecting the PhoP regulatory network of Escherichia coli and Salmonella enterica. Proceedings of the National Academy of Sciences. 102(8). 2862–2867. 171 indexed citations
3.
Blanc‐Potard, Anne‐Béatrice, et al.. (1999). The SPI-3 Pathogenicity Island of Salmonella enterica. Journal of Bacteriology. 181(3). 998–1004. 153 indexed citations
4.
Soncini, Fernando C., Eleonora Garcı́a Véscovi, F Solomon, & Eduardo A. Groisman. (1996). Molecular basis of the magnesium deprivation response in Salmonella typhimurium: identification of PhoP-regulated genes. Journal of Bacteriology. 178(17). 5092–5099. 268 indexed citations
5.
Ochman, H, Fernando C. Soncini, F Solomon, & Eduardo A. Groisman. (1996). Identification of a pathogenicity island required for Salmonella survival in host cells.. Proceedings of the National Academy of Sciences. 93(15). 7800–7804. 538 indexed citations breakdown →
6.
Li, Jiale, Howard Ochman, Eduardo A. Groisman, et al.. (1995). Relationship between evolutionary rate and cellular location among the Inv/Spa invasion proteins of Salmonella enterica.. Proceedings of the National Academy of Sciences. 92(16). 7252–7256. 91 indexed citations
7.
Groisman, Eduardo A., Mark Sturmoski, F Solomon, Robert C. Lin, & H Ochman. (1993). Molecular, functional, and evolutionary analysis of sequences specific to Salmonella.. Proceedings of the National Academy of Sciences. 90(3). 1033–1037. 65 indexed citations
8.
Groisman, Eduardo A., Fred Heffron, & F Solomon. (1992). Molecular genetic analysis of the Escherichia coli phoP locus. Journal of Bacteriology. 174(2). 486–491. 67 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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