S. Manfrida

980 citations
53 papers · 633 · h-index 14

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers

Papers in

S. Manfrida

50 papers receiving 620 citations

Peers

S. Manfrida
Comparison fields: 5 of 75
  • Genetics 104
  • Oncology 148
  • Radiation 44
  • Radiology, Nuclear Medicine and Imaging 97
  • Pulmonary and Respiratory Medicine 127
Replace Stefano Ursino with:
Stefano Ursino Italy
Haruko Numajiri Japan
Lisa Bradfield United States
Gary V. Walker United States
Cristina Mantovani Italy
Alexandros Papachristofilou Switzerland
Hitoshi Takashima Japan
Antonio Gómez‐Caamaño Spain
Hyung Jun Yoo South Korea
Fabiana Gregucci Italy
S. Manfrida relative to Stefano Ursino Italy Stefano Ursino's profile →
Citations per field
00.5×1.5×
Stefano Ursino · 1×
Citations per year

Countries citing papers authored by S. Manfrida

Since Specialization
Citations

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

Fields of papers citing papers by S. Manfrida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Manfrida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Manfrida Line = papers co-authored together S. Manfrida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 201845
3 201239
4 201033
5 201133
6 202031
7 201529
8 201525
9 201124
10 201124
11 200823
12 201817
13 201817
14 201015
15 202213
16 200913
17 201612
18 202111
19 202211
20 202210

About S. Manfrida

S. Manfrida is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 53 papers that have together received 633 indexed citations. Recurring topics across this work include Colorectal and Anal Carcinomas (14 papers), Glioma Diagnosis and Treatment (9 papers), Brain Metastases and Treatment (8 papers), Colorectal Cancer Surgical Treatments (7 papers), Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Sarcoma Diagnosis and Treatment (4 papers) and Management of metastatic bone disease (4 papers). The work is most often cited by research in Genetics (104 citations), Oncology (148 citations), Radiation (44 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Pulmonary and Respiratory Medicine (127 citations). S. Manfrida has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Vincenzo Valentini, M. Balducci, Silvia Chiesa, Giuseppe Roberto D’Agostino, Giovanna Mantini, Francesco Cellini, Maria Antonietta Gambacorta, Berardino De Bari, V. Frascino and N. Dinapoli. Their work appears in journals such as Radiotherapy and Oncology, Cancers, Journal of Clinical Oncology, Strahlentherapie und Onkologie and International Journal of Radiation Oncology*Biology*Physics.

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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