N. Romano

404 total citations
10 papers, 323 citations indexed

About

N. Romano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, N. Romano has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Biomaterials. Recurrent topics in N. Romano's work include Nerve injury and regeneration (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cellular Mechanics and Interactions (2 papers). N. Romano is often cited by papers focused on Nerve injury and regeneration (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cellular Mechanics and Interactions (2 papers). N. Romano collaborates with scholars based in United States, Switzerland and Italy. N. Romano's co-authors include Sarah C. Heilshorn, Debanti Sengupta, Cindy Chung, Denis Wirtz, S. Michael Yu, Christopher M. Madl, Richard G. Moore, Naohiro Yano, Jennifer R. Ribeiro and Rakesh K. Singh and has published in prestigious journals such as Blood, Scientific Reports and Small.

In The Last Decade

N. Romano

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Romano United States	7	127	110	96	46	45	10	323
Byoung Chol Oh United States	11	140 1.1×	138 1.3×	38 0.4×	19 0.4×	17 0.4×	35	427
Se Won Yi South Korea	14	133 1.0×	184 1.7×	131 1.4×	8 0.2×	19 0.4×	27	420
Yongnu Zhang China	9	158 1.2×	134 1.2×	73 0.8×	24 0.5×	98 2.2×	12	357
Jorge Valdez United States	5	66 0.5×	112 1.0×	173 1.8×	14 0.3×	13 0.3×	5	280
Shuang Zheng China	10	55 0.4×	264 2.4×	89 0.9×	25 0.5×	14 0.3×	19	497
Smrithi Padmakumar United States	14	154 1.2×	130 1.2×	116 1.2×	17 0.4×	32 0.7×	15	407
Jenifer Mundy United Kingdom	7	83 0.7×	97 0.9×	43 0.4×	17 0.4×	17 0.4×	7	388
Jennifer Kajahn Germany	6	65 0.5×	165 1.5×	74 0.8×	26 0.6×	18 0.4×	7	369
Jungseub Lee South Korea	8	33 0.3×	69 0.6×	274 2.9×	23 0.5×	22 0.5×	13	350
Patrizia Sarogni Italy	13	49 0.4×	219 2.0×	75 0.8×	7 0.2×	6 0.1×	22	371

Countries citing papers authored by N. Romano

Since Specialization

Citations

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

Fields of papers citing papers by N. Romano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Romano

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

All Works

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10 of 10 papers shown

Romano, N., Stefan Habringer, Pascal Schläpfer, Christian Ruiz, & Corinne C. Widmer. (2024). AI-Based Detection of Myelodysplastic Syndrome from Neutrophil Morphology in Peripheral Blood. Blood. 144(Supplement 1). 7507–7507. 1 indexed citations

Ribeiro, Jennifer R., Christoph Schorl, Naohiro Yano, et al.. (2016). HE4 promotes collateral resistance to cisplatin and paclitaxel in ovarian cancer cells. Journal of Ovarian Research. 9(1). 28–28. 54 indexed citations

Romano, N., Michael Craig Miller, Katina Robison, et al.. (2015). Assessing the risk of ovarian malignancy algorithm for the conservative management of women with a pelvic mass. Gynecologic Oncology. 139(2). 248–252. 10 indexed citations

Romano, N., Alex Han, Jennifer R. Ribeiro, et al.. (2015). Determination of HE4-mediated roles in tumor immune system modulation in epithelial ovarian cancer (EOC). Gynecologic Oncology. 137. 174–174. 1 indexed citations

Singh, Ajay, Alex Han, N. Romano, et al.. (2014). HE4 expression is associated with hormonal elements and mediated by importin-dependent nuclear translocation. Scientific Reports. 4(1). 5500–5500. 28 indexed citations

Romano, N., Christopher M. Madl, & Sarah C. Heilshorn. (2014). Matrix RGD ligand density and L1CAM-mediated Schwann cell interactions synergistically enhance neurite outgrowth. Acta Biomaterialia. 11. 48–57. 43 indexed citations

Romano, N., Kyle J. Lampe, Hui Xu, Meghaan M. Ferreira, & Sarah C. Heilshorn. (2014). Microfluidic Gradients Reveal Enhanced Neurite Outgrowth but Impaired Guidance within 3D Matrices with High Integrin Ligand Densities. Small. 11(6). 722–730. 22 indexed citations

Romano, N., et al.. (2010). PEG-Based Hydrogels with Collagen Mimetic Peptide-Mediated and Tunable Physical Cross-Links. Biomacromolecules. 11(9). 2336–2344. 81 indexed citations

Romano, N., Debanti Sengupta, Cindy Chung, & Sarah C. Heilshorn. (2010). Protein-engineered biomaterials: Nanoscale mimics of the extracellular matrix. Biochimica et Biophysica Acta (BBA) - General Subjects. 1810(3). 339–349. 82 indexed citations

10.

Romano, N., et al.. (2009). [Laparoscopic approach in acute appendicitis: experience with 501 consecutive cases].. PubMed. 61(3). 327–35. 1 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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