F Solomon

3.4k total citations · 1 hit paper
38 papers, 2.8k citations indexed

About

F Solomon is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, F Solomon has authored 38 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Cell Biology and 8 papers in Biomedical Engineering. Recurrent topics in F Solomon's work include Microtubule and mitosis dynamics (19 papers), Fungal and yeast genetics research (8 papers) and Photosynthetic Processes and Mechanisms (6 papers). F Solomon is often cited by papers focused on Microtubule and mitosis dynamics (19 papers), Fungal and yeast genetics research (8 papers) and Photosynthetic Processes and Mechanisms (6 papers). F Solomon collaborates with scholars based in United States, India and Switzerland. F Solomon's co-authors include Maddaly Ravi, S. Kaviya, Margaret Magendantz, David Botstein, Peter J. Schatz, Brant M. Weinstein, Rudolph E. Tanzi, Wilma Wasco, J.F. Gusella and Wendy S. Katz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

F Solomon

38 papers receiving 2.7k citations

Hit Papers

3D Cell Culture Systems: Advantages and Applications 2014 2026 2018 2022 2014 250 500 750

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 25 1.5k 1.0k 574 414 297 38 2.8k
Marc R. Block France 30 2.4k 1.6× 2.5k 2.5× 269 0.5× 251 0.6× 244 0.8× 78 4.1k
Toshifumi Tsukahara Japan 32 3.5k 2.3× 608 0.6× 195 0.3× 480 1.2× 429 1.4× 104 4.1k
Alexander V. Ljubimov United States 45 1.9k 1.2× 573 0.6× 350 0.6× 474 1.1× 182 0.6× 124 6.2k
Bertrand Delpech France 37 2.1k 1.4× 2.3k 2.3× 198 0.3× 137 0.3× 618 2.1× 122 4.1k
Christopher J. Guérin United States 35 2.5k 1.6× 443 0.4× 163 0.3× 396 1.0× 677 2.3× 76 4.5k
Michael Delannoy United States 22 1.4k 0.9× 605 0.6× 411 0.7× 154 0.4× 294 1.0× 40 2.4k
Mario Gimona Austria 43 3.7k 2.4× 2.0k 2.0× 317 0.6× 216 0.5× 327 1.1× 88 5.7k
Kazue Matsumoto United States 24 2.6k 1.7× 2.3k 2.3× 996 1.7× 256 0.6× 338 1.1× 32 5.2k
Frederick L. Hall United States 39 2.6k 1.7× 651 0.6× 187 0.3× 302 0.7× 273 0.9× 104 4.0k

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

20 of 20 papers shown
1.
Ravi, Maddaly, et al.. (2014). 3D Cell Culture Systems: Advantages and Applications. Journal of Cellular Physiology. 230(1). 16–26. 877 indexed citations breakdown →
2.
Gnanasekaran, Tamizh Selvan, et al.. (2014). Delayed Mitogenic Stimulation Decreases DNA Damage Assessed by Micronucleus Assay in Human Peripheral Blood Lymphocytes after 60CO Irradiation. Dose-Response. 12(3). 498–508. 18 indexed citations
3.
Venkatachalam, Perumal, et al.. (1999). Estimation of dose in cancer patients treated with fractionated radiotherapy using translocation, dicentrics and micronuclei frequency in peripheral blood lymphocytes. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 429(1). 1–12. 29 indexed citations
5.
Solomon, F. (1991). Analyses of the Cytoskeleton in Saccharomyces cerevisiae. PubMed. 7(1). 633–662. 34 indexed citations
7.
Dinsmore, Jonathan, et al.. (1991). Association of ezrin isoforms with the neuronal cytoskeleton. Journal of Neuroscience Research. 30(1). 232–241. 43 indexed citations
8.
Weinstein, Brant M. & F Solomon. (1990). Phenotypic consequences of tubulin overproduction in Saccharomyces cerevisiae: differences between alpha-tubulin and beta-tubulin.. Molecular and Cellular Biology. 10(10). 5295–5304. 104 indexed citations
9.
Goslin, Kimberly, Eric Birgbauer, Gary Banker, & F Solomon. (1989). The role of cytoskeleton in organizing growth cones: a microfilament-associated growth cone component depends upon microtubules for its localization.. The Journal of Cell Biology. 109(4). 1621–1631. 100 indexed citations
10.
Schatz, Peter J., F Solomon, & David Botstein. (1988). Isolation and characterization of conditional-lethal mutations in the TUB1 alpha-tubulin gene of the yeast Saccharomyces cerevisiae.. Genetics. 120(3). 681–695. 98 indexed citations
11.
Katz, Wendy S. & F Solomon. (1988). Diversity among beta-tubulins: a carboxy-terminal domain of yeast beta-tubulin is not essential in vivo.. Molecular and Cellular Biology. 8(7). 2730–2736. 14 indexed citations
12.
Solomon, F, et al.. (1987). Domains of beta-tubulin essential for conserved functions in vivo.. Molecular and Cellular Biology. 7(10). 3792–3798. 11 indexed citations
13.
Kim-Hellmuth, Sarah, Margaret Magendantz, Wendy S. Katz, & F Solomon. (1987). Development of a differentiated microtubule structure: formation of the chicken erythrocyte marginal band in vivo.. The Journal of Cell Biology. 104(1). 51–59. 36 indexed citations
14.
Solomon, F, et al.. (1986). Two functional alpha-tubulin genes of the yeast Saccharomyces cerevisiae encode divergent proteins.. Molecular and Cellular Biology. 6(11). 3711–3721. 91 indexed citations
15.
Magendantz, Margaret & F Solomon. (1985). Analyzing the components of microtubules: antibodies against chartins, associated proteins from cultured cells.. Proceedings of the National Academy of Sciences. 82(19). 6581–6585. 29 indexed citations
16.
Solomon, F, et al.. (1984). Kinetics and intermediates of marginal band reformation: evidence for peripheral determinants of microtubule organization.. The Journal of Cell Biology. 99(1). 70s–75s. 26 indexed citations
17.
Solomon, F, et al.. (1984). Reformation of the marginal band of avian erythrocytes in vitro using calf-brain tubulin: peripheral determinants of microtubule form.. The Journal of Cell Biology. 99(6). 2108–2113. 40 indexed citations
18.
Solomon, F & Margaret Magendantz. (1981). Cytochalasin separates microtubule disassembly from loss of asymmetric morphology.. The Journal of Cell Biology. 89(1). 157–161. 91 indexed citations
19.
White, I.H., F Solomon, & William P. Jencks. (1976). Utilization of the inactivation rate of coenzyme A transferase by thiol reagents to determine properties of the enzyme-CoA intermediate.. Journal of Biological Chemistry. 251(6). 1700–1707. 32 indexed citations
20.
Solomon, F & William P. Jencks. (1969). Identification of an Enzyme-γ-Glutamyl Coenzyme A Intermediate from Coenzyme A Transferase. Journal of Biological Chemistry. 244(4). 1079–1081. 57 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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