S Tognella

89 total papers · 485 total citations
37 papers, 400 citations indexed

About

S Tognella is a scholar working on Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S Tognella has authored 37 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S Tognella's work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Lung Cancer Treatments and Mutations (5 papers). S Tognella is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Lung Cancer Treatments and Mutations (5 papers). S Tognella collaborates with scholars based in Italy, United States and United Kingdom. S Tognella's co-authors include Del Giacco Gs, Gabriella Pezzoni, Fernando C. Giuliani, Paolo Emilio Manconi, Silvano Spinelli, R. Ceserani, Paola Perego, Rosanna Supino, Donatella Polizzi and Graziella Pratesi and has published in prestigious journals such as The Lancet, Blood and Journal of Medicinal Chemistry.

In The Last Decade

S Tognella

35 papers receiving 367 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S Tognella	154	126	101	85	47	37	400
Sina Haftchenary	198 1.3×	194 1.5×	54 0.5×	65 0.8×	54 1.1×	25	389
H. Thomas	158 1.0×	129 1.0×	39 0.4×	42 0.5×	39 0.8×	32	426
Jamie Arnott	144 0.9×	202 1.6×	41 0.4×	31 0.4×	45 1.0×	21	441
Hidee Ishii	100 0.6×	148 1.2×	75 0.7×	35 0.4×	19 0.4×	33	402
Krakoff Ih	197 1.3×	156 1.2×	52 0.5×	87 1.0×	47 1.0×	24	439
Vincent H. Bono	109 0.7×	207 1.6×	61 0.6×	36 0.4×	32 0.7×	22	445
Roger Y. Tsang	154 1.0×	133 1.1×	40 0.4×	100 1.2×	41 0.9×	21	397
Ludmila de Faro Valverde	113 0.7×	226 1.8×	74 0.7×	30 0.4×	20 0.4×	31	437
Jintao Zhao	79 0.5×	216 1.7×	54 0.5×	23 0.3×	28 0.6×	40	408
Lorenzo Colarossi	122 0.8×	208 1.7×	38 0.4×	50 0.6×	44 0.9×	30	434

Countries citing papers authored by S Tognella

Since Specialization

Citations

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

Fields of papers citing papers by S Tognella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Tognella

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

All Works

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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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