Emanuela S. Milani

681 total citations
8 papers, 241 citations indexed

About

Emanuela S. Milani is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Emanuela S. Milani has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Emanuela S. Milani's work include Advanced Biosensing Techniques and Applications (1 paper), Orthopaedic implants and arthroplasty (1 paper) and RNA modifications and cancer (1 paper). Emanuela S. Milani is often cited by papers focused on Advanced Biosensing Techniques and Applications (1 paper), Orthopaedic implants and arthroplasty (1 paper) and RNA modifications and cancer (1 paper). Emanuela S. Milani collaborates with scholars based in Switzerland, Greece and Germany. Emanuela S. Milani's co-authors include Bernd Wollscheid, Damaris Bausch‐Fluck, Ina Klebba, Tim Roloff, Dominique S. Meyer, Erik van Nimwegen, Heike Brinkhaus, Stephan Duss, Mohamed Bentires‐Alj and Piotr J. Balwierz and has published in prestigious journals such as Development, Food and Chemical Toxicology and Current Opinion in Chemical Biology.

In The Last Decade

Emanuela S. Milani

8 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emanuela S. Milani Switzerland	6	100	76	44	34	28	8	241
David Ledieu Switzerland	9	81 0.8×	37 0.5×	17 0.4×	8 0.2×	15 0.5×	16	277
Zoulikha M. Zaïr United Kingdom	9	114 1.1×	83 1.1×	101 2.3×	39 1.1×	20 0.7×	16	320
Mandeep Takhar Canada	9	159 1.6×	48 0.6×	45 1.0×	28 0.8×	15 0.5×	13	320
Saori Matsuo Japan	11	99 1.0×	25 0.3×	42 1.0×	59 1.7×	61 2.2×	23	334
Matthew Gillman United Kingdom	4	100 1.0×	35 0.5×	20 0.5×	27 0.8×	56 2.0×	5	234
Bonnie V. Dougherty United States	9	243 2.4×	33 0.4×	26 0.6×	13 0.4×	21 0.8×	12	329
Jun-Jiang Chen China	10	143 1.4×	180 2.4×	54 1.2×	18 0.5×	22 0.8×	20	367
Shuichiro Okamoto Japan	12	125 1.3×	82 1.1×	32 0.7×	25 0.7×	53 1.9×	31	337
Atsuo Hattori Japan	11	87 0.9×	87 1.1×	34 0.8×	49 1.4×	47 1.7×	28	335
Yun‐Fu Hu United States	9	107 1.1×	115 1.5×	51 1.2×	18 0.5×	37 1.3×	11	358

Countries citing papers authored by Emanuela S. Milani

Since Specialization

Citations

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

Fields of papers citing papers by Emanuela S. Milani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuela S. Milani. 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 Emanuela S. Milani. The network helps show where Emanuela S. Milani may publish in the future.

Co-authorship network of co-authors of Emanuela S. Milani

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

All Works

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8 of 8 papers shown

Wendt, Fabian, Emanuela S. Milani, & Bernd Wollscheid. (2021). Elucidation of host-virus surfaceome interactions using spatial proteotyping. Advances in virus research. 109. 105–134. 3 indexed citations

Lichtenstein, Dajana, Claudia Luckert, Jimmy Alarcan, et al.. (2020). An adverse outcome pathway-based approach to assess steatotic mixture effects of hepatotoxic pesticides in vitro. Food and Chemical Toxicology. 139. 111283–111283. 49 indexed citations

Luckert, Claudia, Albert Braeuning, Georges de Sousa, et al.. (2018). Adverse Outcome Pathway-Driven Analysis of Liver Steatosis in Vitro: A Case Study with Cyproconazole. Chemical Research in Toxicology. 31(8). 784–798. 53 indexed citations

Bausch‐Fluck, Damaris, Emanuela S. Milani, & Bernd Wollscheid. (2018). Surfaceome nanoscale organization and extracellular interaction networks. Current Opinion in Chemical Biology. 48. 26–33. 27 indexed citations

Luckert, Claudia, Georges de Sousa, Efrosini S. Katsanou, et al.. (2018). Adverse Outcome Pathway-Driven Analysis of Liver Steatosis in Vitro: A Case Study with Cyproconazole. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

Meier‐Abt, Fabienne, Emanuela S. Milani, Tim Roloff, et al.. (2013). Parity induces differentiation and reduces Wnt/Notch signaling ratio and proliferation potential of basal stem/progenitor cells isolated from mouse mammary epithelium. Breast Cancer Research. 15(2). R36–R36. 76 indexed citations

Milani, Emanuela S., Heike Brinkhaus, Ina Klebba, et al.. (2012). Protein tyrosine phosphatase 1B restrains mammary alveologenesis and secretory differentiation. Development. 140(1). 117–125. 8 indexed citations

Crippa, L., et al.. (1995). Diagnostic Value of Compression Ultrasonography and Fibrinogen-related Parameters for the Detection of Postoperative Deep Vein Thrombosis following Elective Hip Replacement: a Pilot Study. Thrombosis and Haemostasis. 74(5). 1235–1239. 22 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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