S. Manfrida

961 citations
51 papers · 597 · h-index 14

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

S. Manfrida

49 papers receiving 584 citations

Peers

S. Manfrida
Comparison fields: 5 of 82
  • Genetics 135
  • Radiation 70
  • Oncology 207
  • Radiology, Nuclear Medicine and Imaging 161
  • Pulmonary and Respiratory Medicine 209
Replace M. V. Williams with:
M. V. Williams United Kingdom
Alexandros Papachristofilou Switzerland
Eun Kyoung Hong South Korea
Gianfranco Pesce Switzerland
Antonio Gómez‐Caamaño Spain
Jim Zhong United Kingdom
Nilendu Purandare India
Shunan Qi China
Eugenio Borsatti Italy
Tracy Kelly United States
S. Manfrida relative to M. V. Williams United Kingdom M. V. Williams's profile →
Citations per field
00.5×6.5×
M. V. Williams · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 201844
3 201238
4 201133
5 201032
6 202029
7 201527
8 201124
9 200822
10 201522
11 201121
12 201817
13 201817
14 201015
15 200913
16 201611
17 202210
18 201110
19 202210
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 51 papers that have together received 597 indexed citations. Recurring topics across this work include Colorectal and Anal Carcinomas (14 papers), Glioma Diagnosis and Treatment (10 papers), Colorectal Cancer Surgical Treatments (9 papers), Management of metastatic bone disease (9 papers), Brain Metastases and Treatment (8 papers), Advanced Radiotherapy Techniques (7 papers), Sarcoma Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Genetics (135 citations), Radiation (70 citations), Oncology (207 citations), Radiology, Nuclear Medicine and Imaging (161 citations) and Pulmonary and Respiratory Medicine (209 citations). S. Manfrida has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Vincenzo Valentini, M. Balducci, Silvia Chiesa, Giuseppe Roberto D’Agostino, Giovanna Mantini, Francesco Cellini, Maria Antonietta Gambacorta, V. Frascino, N. Dinapoli and Berardino De Bari. Their work appears in journals such as Radiotherapy and Oncology, Cancers, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology and Strahlentherapie und Onkologie.

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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