Sandro Silva‐Gomes

532 total citations
11 papers, 369 citations indexed

About

Sandro Silva‐Gomes is a scholar working on Molecular Biology, Hematology and Nutrition and Dietetics. According to data from OpenAlex, Sandro Silva‐Gomes has authored 11 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Hematology and 4 papers in Nutrition and Dietetics. Recurrent topics in Sandro Silva‐Gomes's work include Trace Elements in Health (4 papers), Iron Metabolism and Disorders (4 papers) and Single-cell and spatial transcriptomics (2 papers). Sandro Silva‐Gomes is often cited by papers focused on Trace Elements in Health (4 papers), Iron Metabolism and Disorders (4 papers) and Single-cell and spatial transcriptomics (2 papers). Sandro Silva‐Gomes collaborates with scholars based in Portugal, United Kingdom and France. Sandro Silva‐Gomes's co-authors include Rui Appelberg, Maria Salomé Gomes, Rasmus Larsen, Miguel P. Soares, Sílvia Vale-Costa, Carolina Caldas, Tiago L. Duarte, Jérôme Nigou, Pedro Rodrigues and David Sancho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Hepatology.

In The Last Decade

Sandro Silva‐Gomes

11 papers receiving 367 citations

Peers

Sandro Silva‐Gomes
R. Sugimoto Japan
James L. Hutchinson United Kingdom
Tiffany Simms-Waldrip United States
Jiao Zhao China
Tania Rybkine France
Zhenping Ming China
Jiju Mani Germany
Andrés Sóyano Venezuela
Giacomo Signorino Italy
Christopher Molloy United Kingdom
R. Sugimoto Japan
Sandro Silva‐Gomes
Citations per year, relative to Sandro Silva‐Gomes Sandro Silva‐Gomes (= 1×) peers R. Sugimoto

Countries citing papers authored by Sandro Silva‐Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Silva‐Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandro Silva‐Gomes. 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 Sandro Silva‐Gomes. The network helps show where Sandro Silva‐Gomes may publish in the future.

Co-authorship network of co-authors of Sandro Silva‐Gomes

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

All Works

11 of 11 papers shown
1.
Grant, Rebecca, Karen Coopman, Sandro Silva‐Gomes, et al.. (2021). Assessment of Protocol Impact on Subjectivity Uncertainty When Analyzing Peripheral Blood Mononuclear Cell Flow Cytometry Data Files. Methods and Protocols. 4(2). 24–24. 2 indexed citations
2.
Grant, Rebecca, Karen Coopman, Nicholas Medcalf, et al.. (2020). Quantifying Operator Subjectivity within Flow Cytometry Data Analysis as a Source of Measurement Uncertainty and the Impact of Experience on Results. PDA Journal of Pharmaceutical Science and Technology. 75(1). 33–47. 10 indexed citations
3.
Grant, Rebecca, Karen Coopman, Nicholas Medcalf, et al.. (2019). Understanding the contribution of operator measurement variability within Flow Cytometry data analysis for Quality Control of Cell and Gene Therapy manufacturing. Measurement. 150. 106998–106998. 9 indexed citations
4.
Decout, Alexiane, Sandro Silva‐Gomes, Daniel Drocourt, et al.. (2017). Rational design of adjuvants targeting the C-type lectin Mincle. Proceedings of the National Academy of Sciences. 114(10). 2675–2680. 89 indexed citations
5.
Duarte, Tiago L., Carolina Caldas, Sandro Silva‐Gomes, et al.. (2016). Genetic disruption of NRF2 promotes the development of necroinflammation and liver fibrosis in a mouse model of HFE-hereditary hemochromatosis. Redox Biology. 11. 157–169. 33 indexed citations
6.
Silva‐Gomes, Sandro, Sílvia Vale-Costa, Rui Appelberg, & Maria Salomé Gomes. (2013). Iron in intracellular infection: to provide or to deprive?. Frontiers in Cellular and Infection Microbiology. 3. 96–96. 39 indexed citations
7.
Silva‐Gomes, Sandro, Cécile Bouton, Tânia Silva, et al.. (2013). Mycobacterium avium Infection Induces H-Ferritin Expression in Mouse Primary Macrophages by Activating Toll-Like Receptor 2. PLoS ONE. 8(12). e82874–e82874. 22 indexed citations
8.
Santos, José Carlos, Sandro Silva‐Gomes, João Pedro Silva, et al.. (2013). Endogenous cathelicidin production limits inflammation and protective immunity to Mycobacterium avium in mice. Immunity Inflammation and Disease. 2(1). 1–12. 20 indexed citations
9.
Silva‐Gomes, Sandro, Carolina Caldas, João V. Neves, et al.. (2013). Transcription factor NRF2 protects mice against dietary iron-induced liver injury by preventing hepatocytic cell death. Journal of Hepatology. 60(2). 354–361. 47 indexed citations
10.
Silva‐Gomes, Sandro, Rui Appelberg, Rasmus Larsen, Miguel P. Soares, & Maria Salomé Gomes. (2013). Heme Catabolism by Heme Oxygenase-1 Confers Host Resistance to Mycobacterium Infection. Infection and Immunity. 81(7). 2536–2545. 75 indexed citations
11.

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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