E. Futo

958 total citations
11 papers, 807 citations indexed

About

E. Futo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, E. Futo has authored 11 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in E. Futo's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). E. Futo is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). E. Futo collaborates with scholars based in Switzerland, France and Japan. E. Futo's co-authors include J. Zapf, E. R. Froesch, M. Waldvogel, Christoph Schmid, C Hauri, H P Guler, I. Schläpfer, Katharina Binz, Frank R. Masiarz and Michael Kiefer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

E. Futo

11 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Futo Switzerland 10 605 400 212 139 101 11 807
Gabriella Wright United States 8 733 1.2× 463 1.2× 278 1.3× 172 1.2× 115 1.1× 9 1000
C Camacho-Hübner United Kingdom 12 792 1.3× 409 1.0× 169 0.8× 181 1.3× 108 1.1× 16 1.0k
Ron G. Rosenfeld United States 18 828 1.4× 538 1.3× 207 1.0× 217 1.6× 121 1.2× 21 1.2k
Mary Boes United States 14 538 0.9× 438 1.1× 179 0.8× 122 0.9× 180 1.8× 19 877
Charmaine Richman United States 7 446 0.7× 628 1.6× 124 0.6× 206 1.5× 67 0.7× 7 931
PE Lobie Australia 12 495 0.8× 266 0.7× 124 0.6× 137 1.0× 52 0.5× 14 666
S. Mohan United States 13 428 0.7× 324 0.8× 113 0.5× 118 0.8× 48 0.5× 18 701
T Arai United States 8 273 0.5× 221 0.6× 102 0.5× 58 0.4× 48 0.5× 13 502
Patricia A. Short United States 11 398 0.7× 451 1.1× 80 0.4× 146 1.1× 19 0.2× 15 808
Marthe Rizk‐Rabin France 18 243 0.4× 246 0.6× 171 0.8× 91 0.7× 74 0.7× 37 828

Countries citing papers authored by E. Futo

Since Specialization
Citations

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

Fields of papers citing papers by E. Futo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Futo

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

All Works

11 of 11 papers shown
1.
2.
Seelentag, Walter, Ursula Günthert, Parvin Saremaslani, et al.. (1996). CD44 standard and variant isoform expression in normal human skin appendages and epidermis. Histochemistry and Cell Biology. 106(3). 283–289. 20 indexed citations
3.
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Seelentag, Walter, Ursula Günthert, Parvin Saremaslani, et al.. (1996). CD44 standard and variant isoform expression in human epidermal skin tumors is not correlated with tumor aggressiveness but down‐regulated during proliferation and tumor de‐differentiation. International Journal of Cancer. 69(3). 218–224. 1 indexed citations
5.
Zapf, J., C Hauri, E. Futo, et al.. (1995). Intravenously injected insulin-like growth factor (IGF) I/IGF binding protein-3 complex exerts insulin-like effects in hypophysectomized, but not in normal rats.. Journal of Clinical Investigation. 95(1). 179–186. 58 indexed citations
6.
Kiefer, Michael, Christoph Schmid, M. Waldvogel, et al.. (1993). Recombinant human insulin-like growth factor binding proteins 4, 5, and 6: biological and physiochemical characterization.. PubMed. 3(1). 56–9. 20 indexed citations
7.
Schmid, Christoph, I. Schläpfer, E. Futo, et al.. (1992). Triiodothyronine (T3) stimulates insulin-like growth factor (IGF)-1 and IGF binding protein (IGFBP)-2 production by rat osteoblasts in vitro. European Journal of Endocrinology. 126(5). 467–473. 41 indexed citations
8.
Zapf, J., et al.. (1992). Can "big" insulin-like growth factor II in serum of tumor patients account for the development of extrapancreatic tumor hypoglycemia?. Journal of Clinical Investigation. 90(6). 2574–2584. 133 indexed citations
9.
Kiefer, Michael, Christoph Schmid, M. Waldvogel, et al.. (1992). Characterization of recombinant human insulin-like growth factor binding proteins 4, 5, and 6 produced in yeast.. Journal of Biological Chemistry. 267(18). 12692–12699. 161 indexed citations
10.
11.
Zapf, J., C Hauri, M. Waldvogel, et al.. (1989). Recombinant human insulin-like growth factor I induces its own specific carrier protein in hypophysectomized and diabetic rats.. Proceedings of the National Academy of Sciences. 86(10). 3813–3817. 187 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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