Sofía Russo

441 total citations
9 papers, 287 citations indexed

About

Sofía Russo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sofía Russo has authored 9 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Sofía Russo's work include Cancer Immunotherapy and Biomarkers (5 papers), Inflammasome and immune disorders (4 papers) and Immune Cell Function and Interaction (3 papers). Sofía Russo is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Inflammasome and immune disorders (4 papers) and Immune Cell Function and Interaction (3 papers). Sofía Russo collaborates with scholars based in Uruguay, Argentina and Austria. Sofía Russo's co-authors include Marcelo Hill, Mercedes Segovia, Gabriel A. Rabinovich, María Romina Girotti, Nora Berois, María Florencia Festari, Teresa Freire, Eduardo Osinaga, Leticia Monin and Maite Duhalde Vega and has published in prestigious journals such as Cancer Cell, Scientific Reports and Annals of Oncology.

In The Last Decade

Sofía Russo

9 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sofía Russo Uruguay	8	122	115	112	46	40	9	287
Kristin Paulsen Rye Norway	10	65 0.5×	107 0.9×	124 1.1×	30 0.7×	16 0.4×	17	331
Esther Yoon United States	9	65 0.5×	89 0.8×	20 0.2×	46 1.0×	31 0.8×	25	235
Juan Estrada United States	8	87 0.7×	110 1.0×	81 0.7×	17 0.4×	25 0.6×	17	235
Cristian G. Beccaría Argentina	9	108 0.9×	69 0.6×	188 1.7×	19 0.4×	13 0.3×	16	310
Yin Huei Pang Singapore	7	40 0.3×	60 0.5×	99 0.9×	21 0.5×	17 0.4×	15	226
Shuhui Cao China	11	102 0.8×	100 0.9×	48 0.4×	60 1.3×	8 0.2×	39	313
Saptha Vijayan United States	6	164 1.3×	105 0.9×	262 2.3×	28 0.6×	16 0.4×	6	359
Eileen McKay United States	6	85 0.7×	214 1.9×	57 0.5×	22 0.5×	11 0.3×	10	374
David Swart United States	6	71 0.6×	46 0.4×	297 2.7×	38 0.8×	42 1.1×	7	352
Zhengfu He China	10	41 0.3×	120 1.0×	66 0.6×	62 1.3×	10 0.3×	43	288

Countries citing papers authored by Sofía Russo

Since Specialization

Citations

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

Fields of papers citing papers by Sofía Russo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofía Russo

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

All Works

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9 of 9 papers shown

Russo, Sofía, Ignacio Cebrián, Álvaro W. Mombrú, et al.. (2024). Formulating a TMEM176B blocker in chitosan nanoparticles uncouples its paradoxical roles in innate and adaptive antitumoral immunity. International Journal of Biological Macromolecules. 279(Pt 3). 135327–135327. 1 indexed citations

Hill, Marcelo, et al.. (2022). The intracellular cation channel TMEM176B as a dual immunoregulator. Frontiers in Cell and Developmental Biology. 10. 1038429–1038429. 8 indexed citations

Bianchini, Giampaolo, Matteo Dugo, Chiun‐Sheng Huang, et al.. (2021). LBA12 Predictive value of gene-expression profiles (GEPs) and their dynamics during therapy in the NeoTRIPaPDL1 trial. Annals of Oncology. 32. S1283–S1284. 15 indexed citations

Bianchini, Giampaolo, Chiun‐Sheng Huang, Daniel Egle, et al.. (2020). LBA13 Tumour infiltrating lymphocytes (TILs), PD-L1 expression and their dynamics in the NeoTRIPaPDL1 trial. Annals of Oncology. 31. S1145–S1146. 41 indexed citations

Hill, Marcelo, Mercedes Segovia, Sofía Russo, María Romina Girotti, & Gabriel A. Rabinovich. (2020). The Paradoxical Roles of Inflammation during PD-1 Blockade in Cancer. Trends in Immunology. 41(11). 982–993. 20 indexed citations

Segovia, Mercedes, Sofía Russo, María Romina Girotti, Gabriel A. Rabinovich, & Marcelo Hill. (2020). Role of inflammasome activation in tumor immunity triggered by immune checkpoint blockers. Clinical & Experimental Immunology. 200(2). 155–162. 12 indexed citations

Segovia, Mercedes, Sofía Russo, Maite Duhalde Vega, et al.. (2019). Targeting TMEM176B Enhances Antitumor Immunity and Augments the Efficacy of Immune Checkpoint Blockers by Unleashing Inflammasome Activation. Cancer Cell. 35(5). 767–781.e6. 98 indexed citations

Russo, Sofía, Juliana I. Hori, Inés Tiscornia, et al.. (2017). Pro-inflammatory Ca++-activated K+ channels are inhibited by hydroxychloroquine. Scientific Reports. 7(1). 1892–1892. 42 indexed citations

Russo, Sofía, Leticia Monin, María Florencia Festari, et al.. (2013). Antitumor Activity of Human Hydatid Cyst Fluid in a Murine Model of Colon Cancer. The Scientific World JOURNAL. 2013(1). 230176–230176. 50 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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