Carlo Russo

2.5k total citations
78 papers, 1.7k citations indexed

About

Carlo Russo is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Carlo Russo has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Carlo Russo's work include T-cell and B-cell Immunology (23 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Immune Cell Function and Interaction (15 papers). Carlo Russo is often cited by papers focused on T-cell and B-cell Immunology (23 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Immune Cell Function and Interaction (15 papers). Carlo Russo collaborates with scholars based in United States, Italy and Australia. Carlo Russo's co-authors include Marcelo Nociari, Soldano Ferrone, Michele Pellegrino, Antonio Di Ieva, Ah‐Kau Ng, Fabio Grizzi, Sidong Liu, Marc E. Weksler, William G. Telford and Gregory W. Siskind and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Carlo Russo

75 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Russo United States 19 695 460 334 191 161 78 1.7k
Ollivier Hyrien United States 23 325 0.5× 292 0.6× 428 1.3× 266 1.4× 64 0.4× 79 1.7k
Miao Cui China 21 322 0.5× 215 0.5× 541 1.6× 208 1.1× 190 1.2× 69 1.7k
Caroline Truntzer France 22 455 0.7× 158 0.3× 486 1.5× 740 3.9× 141 0.9× 91 1.8k
Robert Knobler United States 11 840 1.2× 211 0.5× 260 0.8× 326 1.7× 23 0.1× 25 1.9k
Snævar Sigurðsson United States 20 921 1.3× 147 0.3× 389 1.2× 489 2.6× 60 0.4× 36 2.0k
Zhen Han China 23 345 0.5× 247 0.5× 560 1.7× 390 2.0× 58 0.4× 40 1.6k
Peppino Mirabelli Italy 25 159 0.2× 297 0.6× 963 2.9× 344 1.8× 99 0.6× 71 2.2k
Fernando U. Garcia United States 23 236 0.3× 150 0.3× 615 1.8× 467 2.4× 219 1.4× 70 2.1k
Thomas Kalinski Germany 30 316 0.5× 325 0.7× 1.0k 3.0× 544 2.8× 101 0.6× 113 2.6k
Marylène Lejeune Spain 19 745 1.1× 120 0.3× 259 0.8× 683 3.6× 162 1.0× 54 1.7k

Countries citing papers authored by Carlo Russo

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Russo

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Russo. A scholar is included among the top collaborators of Carlo 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 Carlo Russo. Carlo Russo 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
1.
2.
Ciceri, Fabio, Francesca Farina, Bernhard Gentner, et al.. (2024). 449MO Macrophage derived immunotherapy in glioblastoma: Phase I TEM-GBM-001 results. Annals of Oncology. 35. S409–S409.
3.
Russo, Carlo, et al.. (2024). Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images. SHILAP Revista de lepidopterología. 15(1). 61–70.
4.
Liu, Sidong, Carlo Russo, Eric Suero Molina, & Antonio Di Ieva. (2024). Artificial Intelligence Methods. Advances in experimental medicine and biology. 1462. 21–38. 3 indexed citations
5.
Molina, Eric Suero, Ghasem Azemi, Carlo Russo, Sidong Liu, & Antonio Di Ieva. (2024). Artificial Intelligence in Brain Tumors. Advances in experimental medicine and biology. 1462. 201–220. 1 indexed citations
6.
Ieva, Antonio Di, Eric Suero Molina, Sidong Liu, & Carlo Russo. (2024). Computational Neurosurgery: Foundation. Advances in experimental medicine and biology. 1462. 1–8. 1 indexed citations
7.
Russo, Carlo, et al.. (2021). Assessment of eye-tracking scanpath outliers using fractal geometry. Heliyon. 7(7). e07616–e07616. 3 indexed citations
8.
Liu, Sidong, Tiebao Meng, Carlo Russo, et al.. (2021). Brain volumetric and fractal analysis of synthetic MRI: A comparative study with conventional 3D T1-weighted images. European Journal of Radiology. 141. 109782–109782. 11 indexed citations
9.
Russo, Carlo, et al.. (2021). Spatial and time domain analysis of eye-tracking data during screening of brain magnetic resonance images. PLoS ONE. 16(12). e0260717–e0260717. 8 indexed citations
10.
Russo, Carlo, et al.. (2020). Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis. Neuroradiology. 62(7). 771–790. 41 indexed citations
11.
Grizzi, Fabio, Sirio Fiorino, Dorina Qehajaj, et al.. (2019). Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study. Journal of Translational Medicine. 17(1). 11 indexed citations
12.
Grizzi, Fabio, Angelo Castello, Dorina Qehajaj, Carlo Russo, & Egesta Lopci. (2018). The Complexity and Fractal Geometry of Nuclear Medicine Images. Molecular Imaging and Biology. 21(3). 401–409. 17 indexed citations
13.
Dioguardi, N, Fabio Grizzi, Barbara Fiamengo, & Carlo Russo. (2008). Metrically measuring liver biopsy: A chronic hepatitis B and C computer-aided morphologic description. World Journal of Gastroenterology. 14(48). 7335–7335. 15 indexed citations
14.
Grizzi, Fabio, Barbara Franceschini, Barbara Fiamengo, Carlo Russo, & N Dioguardi. (2007). Vascular architecture: is it a helpful histopathological biomarker for hepatocellular carcinoma?. Journal of Zhejiang University SCIENCE B. 8(4). 217–220. 4 indexed citations
15.
Ieva, Antonio Di, Fabio Grizzi, Carlo Russo, et al.. (2007). Fractal dimension as a quantitator of the microvasculature of normal and adenomatous pituitary tissue. Journal of Anatomy. 211(5). 673–680. 71 indexed citations
16.
Franceschini, Barbara, Carlo Russo, N Dioguardi, & Fabio Grizzi. (2007). Increased liver mast cell recruitment in patients with chronic C virus‐related hepatitis and histologically documented steatosis. Journal of Viral Hepatitis. 14(8). 549–555. 18 indexed citations
17.
Almeida, Roque Pacheco de, et al.. (1993). Increased serum HLA class I molecule levels in elderly human responders to influenza vaccination. Tissue Antigens. 42(1). 9–13. 10 indexed citations
18.
Schwab, R., Carlo Russo, & Marc E. Weksler. (1992). Altered major histocompatibility complex‐restricted antigen recognition by T cells from elderly humans. European Journal of Immunology. 22(11). 2989–2993. 32 indexed citations
19.
Russo, Carlo, et al.. (1989). Immunological studies of aging. Cellular Immunology. 119(1). 202–210. 96 indexed citations
20.
Friedman, Steven, et al.. (1988). Amplification of altered self-reactive cytolytic T lymphocyte responses by cloned, allospecific human Th cells.. Journal of Clinical Investigation. 82(5). 1722–1730. 2 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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