Mara Rossi

817 total citations
19 papers, 512 citations indexed

About

Mara Rossi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Mara Rossi has authored 19 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Mara Rossi's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Mara Rossi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Mara Rossi collaborates with scholars based in Italy, Switzerland and Germany. Mara Rossi's co-authors include Horst Bierau, Hervé Broly, J H Todd, Mary Ann Sens, Donald A. Sens, Scott H. Garrett, J. Nath, John R. Masters, Seema Somji and Soon‐Jung Park and has published in prestigious journals such as The Journal of Physical Chemistry B, Environmental Health Perspectives and Frontiers in Immunology.

In The Last Decade

Mara Rossi

19 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mara Rossi Italy	11	330	140	86	43	36	19	512
Luísa Silva Portugal	5	369 1.1×	73 0.5×	150 1.7×	58 1.3×	20 0.6×	6	460
Clara Tucker United States	5	301 0.9×	35 0.3×	37 0.4×	12 0.3×	51 1.4×	6	549
Libero Clerici Italy	9	157 0.5×	34 0.2×	62 0.7×	10 0.2×	19 0.5×	18	333
Amy Brown United States	9	199 0.6×	103 0.7×	55 0.6×	10 0.2×	16 0.4×	20	457
Michael Jarsch United States	18	609 1.8×	22 0.2×	45 0.5×	12 0.3×	58 1.6×	38	814
Fumitaka Katoh France	14	524 1.6×	15 0.1×	28 0.3×	10 0.2×	16 0.4×	19	713
Haley D. Neff‐LaFord United States	7	171 0.5×	321 2.3×	106 1.2×	7 0.2×	33 0.9×	17	559
Magid Fallahi United States	13	414 1.3×	20 0.1×	35 0.4×	9 0.2×	14 0.4×	14	652
Shawn M. Heidel United States	9	185 0.6×	48 0.3×	92 1.1×	3 0.1×	25 0.7×	11	428
Hua Jiang China	14	472 1.4×	39 0.3×	35 0.4×	8 0.2×	20 0.6×	49	646

Countries citing papers authored by Mara Rossi

Since Specialization

Citations

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

Fields of papers citing papers by Mara Rossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara Rossi

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

All Works

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19 of 19 papers shown

Bianchi, D., et al.. (2024). In silico evaluation of the role of Fab glycosylation in cetuximab antibody dynamics. Frontiers in Immunology. 15. 1429600–1429600. 2 indexed citations

Rossi, Mara, et al.. (2024). Triad of Digital Transformation: Holistic Orchestration for People, Process, and Technology. IEEE Transactions on Engineering Management. 71. 7815–7831. 2 indexed citations

Guerrini, Uliano, et al.. (2023). Effect of Fc core fucosylation and light chain isotype on IgG1 flexibility. Communications Biology. 6(1). 237–237. 5 indexed citations

Rossi, Mara, et al.. (2023). Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration. Biotechnology and Bioengineering. 120(7). 1822–1843. 8 indexed citations

Rossi, Mara, et al.. (2023). Molecular Modeling of the Deamidation Reaction in Solution: A Theoretical–Computational Study. The Journal of Physical Chemistry B. 127(44). 9550–9559. 2 indexed citations

Spagnoletti, Paolo, et al.. (2022). An Orchestration Framework for Digital Innovation: Lessons From the Healthcare Industry. IEEE Transactions on Engineering Management. 70(7). 2465–2479. 21 indexed citations

Dawson, J. W., et al.. (2022). Comprehensive investigation of a structural variant in a bi‐specific, N‐and C‐terminal Fc‐fusion molecule, and its monitoring with LC‐MS based method. Biotechnology and Bioengineering. 120(2). 465–481. 3 indexed citations

Rossi, Mara, J. W. Dawson, Bernhard Valldorf, et al.. (2021). Rapid cGMP manufacturing of COVID‐19 monoclonal antibody using stable CHO cell pools. Biotechnology and Bioengineering. 119(2). 663–666. 23 indexed citations

Mastrangeli, Renato, et al.. (2018). A deamidated interferon-β variant binds to integrin αvβ3. Cytokine. 104. 38–41. 6 indexed citations

10.

Kleuser, Beate, et al.. (2018). Reciprocal Translocation Observed in End-of-Production Cells of a Commercial CHO-Based Process.. PubMed. 69(4). 540–52. 9 indexed citations

11.

Magnenat, Laurent, et al.. (2016). Demonstration of physicochemical and functional similarity between the proposed biosimilar adalimumab MSB11022 and Humira®. mAbs. 9(1). 127–139. 43 indexed citations

12.

Mastrangeli, Renato, et al.. (2014). In vitro biological characterization of IFN- -1a major glycoforms. Glycobiology. 25(1). 21–29. 11 indexed citations

13.

Pelzing, Matthias, et al.. (2011). High resolution TOF MS coupled to CE for the analysis of isotopically resolved intact proteins. Journal of Proteomics. 74(7). 958–966. 36 indexed citations

14.

Lispi, Monica, et al.. (2009). Heterogeneity of Commercial Recombinant Human Growth Hormone (r-hGH) Preparations Containing a Thioether Variant. Journal of Pharmaceutical Sciences. 98(12). 4511–4524. 12 indexed citations

15.

Bierau, Horst, et al.. (2009). Degradation of an Fc‐fusion recombinant protein by host cell proteases: Identification of a CHO cathepsin D protease. Biotechnology and Bioengineering. 104(6). 1132–1141. 93 indexed citations

16.

Bierau, Horst, et al.. (2007). Characterisation of a Novel Growth Hormone Variant Comprising a Thioether Link between Cys182 and Cys189. ChemMedChem. 2(8). 1181–1189. 14 indexed citations

17.

Ziegler, Thomas R., et al.. (2005). Conversion of a CHO cell culture process from perfusion to fed-batch technology without altering product quality. Journal of Biotechnology. 123(1). 106–116. 34 indexed citations

18.

Mastrangeli, Renato, S. Donini, V. Ciolli, et al.. (2004). ARS Component B: structural characterization, tissue expression and regulation of the gene and protein (SLURP-1) associated with Mal de Meleda.. PubMed. 13(6). 560–70. 59 indexed citations

19.

Rossi, Mara, John R. Masters, Soon‐Jung Park, et al.. (2001). The immortalized UROtsa cell line as a potential cell culture model of human urothelium.. Environmental Health Perspectives. 109(8). 801–808. 129 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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