Francisco Tomé

1.1k total citations
15 papers, 734 citations indexed

About

Francisco Tomé is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Francisco Tomé has authored 15 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Francisco Tomé's work include Fibroblast Growth Factor Research (6 papers), Mast cells and histamine (4 papers) and Protein Tyrosine Phosphatases (4 papers). Francisco Tomé is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Mast cells and histamine (4 papers) and Protein Tyrosine Phosphatases (4 papers). Francisco Tomé collaborates with scholars based in United States, Belgium and Canada. Francisco Tomé's co-authors include Irit Lax, Joseph Schlessinger, Jae Hyun Bae, Jyotidarsini Mohanty, Erin D. Lew, Sangwon Lee, Satoru Yuzawa, Jan Steyaert, Jungyuen Choi and Els Pardon and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Francisco Tomé

14 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Tomé United States 12 492 160 115 76 71 15 734
Angela Russo United States 20 537 1.1× 83 0.5× 142 1.2× 106 1.4× 141 2.0× 38 1.0k
S Takai Japan 12 312 0.6× 81 0.5× 135 1.2× 113 1.5× 47 0.7× 21 744
Erica L. Kreimann Argentina 11 401 0.8× 46 0.3× 193 1.7× 44 0.6× 125 1.8× 20 865
Danmei Xu China 13 383 0.8× 78 0.5× 196 1.7× 107 1.4× 42 0.6× 24 834
Mimoun Nejjari France 16 341 0.7× 36 0.2× 143 1.2× 54 0.7× 81 1.1× 21 726
Lena Luts Sweden 10 362 0.7× 227 1.4× 183 1.6× 40 0.5× 18 0.3× 18 713
Melissa V. Gammons United Kingdom 17 1.1k 2.3× 69 0.4× 152 1.3× 57 0.8× 149 2.1× 24 1.3k
Alfredo Romano Italy 6 706 1.4× 146 0.9× 253 2.2× 54 0.7× 124 1.7× 8 1.0k
Takayuki Yasunaga Germany 8 674 1.4× 143 0.9× 93 0.8× 121 1.6× 142 2.0× 8 771
Rudi Hrncic United States 8 634 1.3× 87 0.5× 133 1.2× 21 0.3× 67 0.9× 8 706

Countries citing papers authored by Francisco Tomé

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Tomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Tomé

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

All Works

15 of 15 papers shown
1.
An, Seong Jin, Jyotidarsini Mohanty, Francisco Tomé, et al.. (2023). Heparin is essential for optimal cell signaling by FGF21 and for regulation of βKlotho cellular stability. Proceedings of the National Academy of Sciences. 120(7). e2219128120–e2219128120. 4 indexed citations
2.
Suzuki, Yoshihisa, Seong Jin An, Francisco Tomé, et al.. (2020). FGF23 contains two distinct high-affinity binding sites enabling bivalent interactions with α-Klotho. Proceedings of the National Academy of Sciences. 117(50). 31800–31807. 26 indexed citations
3.
Ung, Peter M.U., Jyotidarsini Mohanty, Francisco Tomé, et al.. (2019). Structures of ligand-occupied β-Klotho complexes reveal a molecular mechanism underlying endocrine FGF specificity and activity. Proceedings of the National Academy of Sciences. 116(16). 7819–7824. 36 indexed citations
4.
Lee, Sangwon, Jungyuen Choi, Jyotidarsini Mohanty, et al.. (2018). Structures of β-klotho reveal a ‘zip code’-like mechanism for endocrine FGF signalling. Nature. 553(7689). 501–505. 173 indexed citations
5.
Reshetnyak, Andrey V., Jyotidarsini Mohanty, Francisco Tomé, et al.. (2018). Identification of a biologically active fragment of ALK and LTK-Ligand 2 (augmentor-α). Proceedings of the National Academy of Sciences. 115(33). 8340–8345. 12 indexed citations
6.
Shi, Xiarong, Francisco Tomé, Andrey V. Reshetnyak, et al.. (2016). Distinct cellular properties of oncogenic KIT receptor tyrosine kinase mutants enable alternative courses of cancer cell inhibition. Proceedings of the National Academy of Sciences. 113(33). E4784–93. 19 indexed citations
7.
Reshetnyak, Andrey V., Phillip B. Murray, Xiarong Shi, et al.. (2015). Augmentor α and β (FAM150) are ligands of the receptor tyrosine kinases ALK and LTK: Hierarchy and specificity of ligand–receptor interactions. Proceedings of the National Academy of Sciences. 112(52). 15862–15867. 109 indexed citations
8.
Opatowsky, Yarden, Irit Lax, Francisco Tomé, et al.. (2014). Structure, domain organization, and different conformational states of stem cell factor-induced intact KIT dimers. Proceedings of the National Academy of Sciences. 111(5). 1772–1777. 31 indexed citations
9.
Reshetnyak, Andrey V., Yarden Opatowsky, Titus J. Boggon, et al.. (2014). The Strength and Cooperativity of KIT Ectodomain Contacts Determine Normal Ligand-Dependent Stimulation or Oncogenic Activation in Cancer. Molecular Cell. 57(1). 191–201. 27 indexed citations
10.
Reshetnyak, Andrey V., Bryce Nelson, Xiarong Shi, et al.. (2013). Structural basis for KIT receptor tyrosine kinase inhibition by antibodies targeting the D4 membrane-proximal region. Proceedings of the National Academy of Sciences. 110(44). 17832–17837. 25 indexed citations
11.
Bae, Jae Hyun, Titus J. Boggon, Francisco Tomé, et al.. (2010). Asymmetric receptor contact is required for tyrosine autophosphorylation of fibroblast growth factor receptor in living cells. Proceedings of the National Academy of Sciences. 107(7). 2866–2871. 63 indexed citations
12.
Bae, Jae Hyun, Erin D. Lew, Satoru Yuzawa, et al.. (2009). The Selectivity of Receptor Tyrosine Kinase Signaling Is Controlled by a Secondary SH2 Domain Binding Site. 138(3). 514–524. 3 indexed citations
13.
Bae, Jae Hyun, Erin D. Lew, Satoru Yuzawa, et al.. (2009). The Selectivity of Receptor Tyrosine Kinase Signaling Is Controlled by a Secondary SH2 Domain Binding Site. 138(33). 514–524. 1 indexed citations
14.
Bae, Jae Hyun, Erin D. Lew, Satoru Yuzawa, et al.. (2009). The Selectivity of Receptor Tyrosine Kinase Signaling Is Controlled by a Secondary SH2 Domain Binding Site. Cell. 138(3). 514–524. 119 indexed citations
15.
Eswarakumar, Veraragavan P., Erin D. Lew, Jae Hyun Bae, et al.. (2006). Attenuation of signaling pathways stimulated by pathologically activated FGF-receptor 2 mutants prevents craniosynostosis. Proceedings of the National Academy of Sciences. 103(49). 18603–18608. 86 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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