Elena Friedmann

794 total citations
7 papers, 644 citations indexed

About

Elena Friedmann is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Elena Friedmann has authored 7 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Elena Friedmann's work include Peptidase Inhibition and Analysis (3 papers), Alzheimer's disease research and treatments (2 papers) and Cellular transport and secretion (2 papers). Elena Friedmann is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Alzheimer's disease research and treatments (2 papers) and Cellular transport and secretion (2 papers). Elena Friedmann collaborates with scholars based in Switzerland, Germany and United States. Elena Friedmann's co-authors include Bruno Martoglio, Giorgio Rovelli, Andreas Weihofen, Marius K. Lemberg, Shmuel Shaltiel, Stefan F. Lichtenthaler, Sarah Vreugde, Peer‐Hendrik Kuhn, Simone Schleeger and Daniela Stauffer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Cell Death and Differentiation.

In The Last Decade

Elena Friedmann

7 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elena Friedmann Switzerland	7	379	194	176	151	139	7	644
Makoto Ohtsu Japan	11	394 1.0×	111 0.6×	175 1.0×	126 0.8×	75 0.5×	17	688
Adam G. Grieve United Kingdom	13	431 1.1×	117 0.6×	289 1.6×	84 0.6×	62 0.4×	15	720
Tatsuya Inui Japan	15	547 1.4×	139 0.7×	176 1.0×	59 0.4×	124 0.9×	34	816
Matilde Parreño Spain	16	561 1.5×	294 1.5×	81 0.5×	97 0.6×	124 0.9×	21	892
Anna Dart United Kingdom	11	299 0.8×	102 0.5×	157 0.9×	149 1.0×	49 0.4×	18	589
Zhigang Li United States	15	646 1.7×	130 0.7×	311 1.8×	127 0.8×	48 0.3×	23	924
Martina Haug‐Kröper Germany	10	288 0.8×	133 0.7×	145 0.8×	69 0.5×	89 0.6×	11	423
Sumayah Jamal United States	10	329 0.9×	161 0.8×	156 0.9×	199 1.3×	29 0.2×	15	659
William Mallet United States	13	632 1.7×	132 0.7×	467 2.7×	161 1.1×	95 0.7×	17	926
Janett Schwarz Germany	8	717 1.9×	435 2.2×	178 1.0×	108 0.7×	57 0.4×	9	963

Countries citing papers authored by Elena Friedmann

Since Specialization

Citations

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

Fields of papers citing papers by Elena Friedmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Friedmann

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

All Works

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7 of 7 papers shown

Kirkin, Vladimir, Nathalie Cahuzac, Francisca Guardiola-Serrano, et al.. (2007). The Fas ligand intracellular domain is released by ADAM10 and SPPL2a cleavage in T-cells. Cell Death and Differentiation. 14(9). 1678–1687. 108 indexed citations

Fluhrer, Regina, Lars Israel, Margaret M. Condron, et al.. (2006). A γ-secretase-like intramembrane cleavage of TNFα by the GxGD aspartyl protease SPPL2b. Nature Cell Biology. 8(8). 894–896. 115 indexed citations

Friedmann, Elena, Ehud Hauben, Simone Schleeger, et al.. (2006). SPPL2a and SPPL2b promote intramembrane proteolysis of TNFα in activated dendritic cells to trigger IL-12 production. Nature Cell Biology. 8(8). 843–848. 163 indexed citations

Friedmann, Elena, Marius K. Lemberg, Andreas Weihofen, et al.. (2004). Consensus Analysis of Signal Peptide Peptidase and Homologous Human Aspartic Proteases Reveals Opposite Topology of Catalytic Domains Compared with Presenilins. Journal of Biological Chemistry. 279(49). 50790–50798. 79 indexed citations

Weihofen, Andreas, Marius K. Lemberg, Elena Friedmann, et al.. (2003). Targeting Presenilin-type Aspartic Protease Signal Peptide Peptidase with γ-Secretase Inhibitors. Journal of Biological Chemistry. 278(19). 16528–16533. 109 indexed citations

Litovchick, Larisa, Elena Friedmann, & Shmuel Shaltiel. (2002). A Selective Interaction between OS-9 and the Carboxyl-terminal Tail of Meprin β. Journal of Biological Chemistry. 277(37). 34413–34423. 36 indexed citations

Friedmann, Elena, Yehuda Salzberg, Adina Weinberger, Shmuel Shaltiel, & Jeffrey E. Gerst. (2002). YOS9, the Putative Yeast Homolog of a Gene Amplified in Osteosarcomas, Is Involved in the Endoplasmic Reticulum (ER)-Golgi Transport of GPI-anchored Proteins. Journal of Biological Chemistry. 277(38). 35274–35281. 34 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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