Andrew Smith

1.8k total citations
83 papers, 1.4k citations indexed

About

Andrew Smith is a scholar working on Spectroscopy, Molecular Biology and Nephrology. According to data from OpenAlex, Andrew Smith has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Spectroscopy, 37 papers in Molecular Biology and 15 papers in Nephrology. Recurrent topics in Andrew Smith's work include Advanced Proteomics Techniques and Applications (33 papers), Mass Spectrometry Techniques and Applications (28 papers) and Thyroid Cancer Diagnosis and Treatment (15 papers). Andrew Smith is often cited by papers focused on Advanced Proteomics Techniques and Applications (33 papers), Mass Spectrometry Techniques and Applications (28 papers) and Thyroid Cancer Diagnosis and Treatment (15 papers). Andrew Smith collaborates with scholars based in Italy, United States and Switzerland. Andrew Smith's co-authors include Fulvio Magni, Fabio Pagni, Clizia Chinello, Giuseppe Paglia, Giuseppe Astarita, Isabella Piga, Vincenzo L’Imperio, Mattia Garancini, Gabriele De Sio and Vanna Denti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Andrew Smith

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Smith Italy 25 636 568 196 169 158 83 1.4k
Ihor Batruch Canada 28 926 1.5× 438 0.8× 132 0.7× 43 0.3× 207 1.3× 55 1.9k
Jiekai Yu China 21 789 1.2× 410 0.7× 99 0.5× 28 0.2× 163 1.0× 73 1.5k
Maria Frantzi Germany 19 509 0.8× 353 0.6× 29 0.1× 83 0.5× 242 1.5× 49 1.1k
David R. Barnidge United States 30 1.4k 2.3× 838 1.5× 43 0.2× 157 0.9× 50 0.3× 60 2.3k
David K. Crockett United States 22 619 1.0× 221 0.4× 113 0.6× 23 0.1× 85 0.5× 49 1.2k
Uwe Zimmermann Germany 24 895 1.4× 109 0.2× 57 0.3× 138 0.8× 482 3.1× 62 1.6k
Mark Baumert United Kingdom 13 533 0.8× 459 0.8× 39 0.2× 20 0.1× 45 0.3× 15 1.0k
Kemmons A. Tubbs United States 22 944 1.5× 780 1.4× 117 0.6× 23 0.1× 24 0.2× 33 1.4k
Jinong Li United States 8 1.3k 2.0× 1.0k 1.8× 27 0.1× 33 0.2× 92 0.6× 9 1.8k
Evelyn Zeindl‐Eberhart Germany 18 655 1.0× 190 0.3× 26 0.1× 39 0.2× 143 0.9× 22 1.2k

Countries citing papers authored by Andrew Smith

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Smith

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

All Works

20 of 20 papers shown
3.
Gasparri, Anna Maria, Arianna Pocaterra, Barbara Colombo, et al.. (2025). Blockade of αvβ6 and αvβ8 integrins with a chromogranin A-derived peptide inhibits TGFβ activation in tumors and suppresses tumor growth. Journal of Experimental & Clinical Cancer Research. 44(1). 88–88. 1 indexed citations
4.
Denti, Vanna, Angela Greco, Giulia Capitoli, et al.. (2024). Spatially Resolved Molecular Characterization of Noninvasive Follicular Thyroid Neoplasms with Papillary-like Nuclear Features (NIFTPs) Identifies a Distinct Proteomic Signature Associated with RAS-Mutant Lesions. International Journal of Molecular Sciences. 25(23). 13115–13115. 2 indexed citations
5.
Denti, Vanna, et al.. (2024). 6-Aza-2-Thiothymine as an Alternative Matrix for Spatial Proteomics with MALDI-MSI. International Journal of Molecular Sciences. 25(24). 13678–13678. 1 indexed citations
6.
Bolognesi, Maddalena M., Albino Eccher, Federico Alberici, et al.. (2023). Congo Red Staining in Digital Pathology: The Streamlined Pipeline for Amyloid Detection Through Congo Red Fluorescence Digital Analysis. Laboratory Investigation. 103(11). 100243–100243. 8 indexed citations
7.
Chinello, Clizia, Andrew Smith, Gino Villetti, et al.. (2023). Proteomic Fingerprint of Lung Fibrosis Progression and Response to Therapy in Bleomycin-Induced Mouse Model. International Journal of Molecular Sciences. 24(5). 4410–4410. 10 indexed citations
8.
Piga, Isabella, Fabio Pagni, Fulvio Magni, & Andrew Smith. (2023). Cytological Cytospin Preparation for the Spatial Proteomics Analysis of Thyroid Nodules Using MALDI-MSI. Methods in molecular biology. 2688. 95–105. 2 indexed citations
9.
Denti, Vanna, Giulia Capitoli, Isabella Piga, et al.. (2022). Spatial Multiomics of Lipids, N-Glycans, and Tryptic Peptides on a Single FFPE Tissue Section. Journal of Proteome Research. 21(11). 2798–2809. 27 indexed citations
10.
Denti, Vanna, Giulia Capitoli, Francesca Clerici, et al.. (2021). Lipidomic Typing of Colorectal Cancer Tissue Containing Tumour-Infiltrating Lymphocytes by MALDI Mass Spectrometry Imaging. Metabolites. 11(9). 599–599. 15 indexed citations
11.
Chinello, Clizia, Giulia Capitoli, Isabella Piga, et al.. (2021). Does the Urinary Proteome Reflect ccRCC Stage and Grade Progression?. Diagnostics. 11(12). 2369–2369. 8 indexed citations
12.
Denti, Vanna, Maria Andersen, Andrew Smith, et al.. (2021). Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application. Metabolites. 11(9). 577–577. 12 indexed citations
13.
Capitoli, Giulia, Clizia Chinello, Isabella Piga, et al.. (2020). In-Depth Mapping of the Urinary N-Glycoproteome: Distinct Signatures of ccRCC-related Progression. Cancers. 12(1). 239–239. 13 indexed citations
14.
Denti, Vanna, Isabella Piga, Francesca Clerici, et al.. (2020). Antigen Retrieval and Its Effect on the MALDI-MSI of Lipids in Formalin-Fixed Paraffin-Embedded Tissue. Journal of the American Society for Mass Spectrometry. 31(8). 1619–1624. 31 indexed citations
15.
Capitoli, Giulia, Isabella Piga, Stefania Galimberti, et al.. (2019). MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules. Cancers. 11(9). 1377–1377. 24 indexed citations
16.
Smith, Andrew, Vincenzo L’Imperio, Franco Ferrario, et al.. (2017). The putative role of MALDI-MSI in the study of Membranous Nephropathy Proteins and proteomics. Biochimica et Biophysica Acta. 1 indexed citations
17.
Brown, Wells S., Li Tan, Andrew Smith, Nathanael S. Gray, & Michael K. Wendt. (2016). Covalent Targeting of Fibroblast Growth Factor Receptor Inhibits Metastatic Breast Cancer. Molecular Cancer Therapeutics. 15(9). 2096–2106. 61 indexed citations
18.
Pagni, Fabio, et al.. (2016). The Role of Fine Needle Aspiration of Orbital Lesions: A Case Series. Acta Cytologica. 60(1). 31–38. 6 indexed citations
19.
Sio, Gabriele De, Andrew Smith, Mattia Garancini, et al.. (2015). A MALDI-Mass Spectrometry Imaging method applicable to different formalin-fixed paraffin-embedded human tissues. Molecular BioSystems. 11(6). 1507–1514. 65 indexed citations
20.
Pagni, Fabio, Vincenzo L’Imperio, Francesca Bono, et al.. (2015). Proteome analysis in thyroid pathology. Expert Review of Proteomics. 12(4). 375–390. 25 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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