E. Seccamani

569 citations
9 papers · 452 · h-index 5

Impact in

Papers in

E. Seccamani

9 papers receiving 433 citations

Peers

E. Seccamani
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 298
  • Immunology and Allergy 35
  • Oncology 87
  • Immunology 69
  • Reproductive Medicine 19
Replace Mario Regazzoni with:
Mario Regazzoni Italy
Leon Carayannopoulos United States
Heidi H. van Ojik Netherlands
Malin Lindborg Sweden
AR Belch Canada
Mallikarjuna Kandalam India
Scott F. Winter United States
Heungnam Kim United States
Shankar K. Nayak United States
David W. Ohannesian United States
E. Seccamani relative to Mario Regazzoni Italy Mario Regazzoni's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Seccamani

Since Specialization
Citations

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

Fields of papers citing papers by E. Seccamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Seccamani, 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 E. Seccamani Line = papers co-authored together E. Seccamani links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Three-step monoclonal antibody tumor targeting in carcinoembryonic antigen-positive patients.
1991196
2 199192
3 199256
4 199156
5 198945
6
Human gliomas radioimmunoimaging with 131-I BC-2 murine IgG: preliminary report.
19914
7 19911
8 19941
9
[FO23C5 anti-CEA (FAb'2) 125-I monoclonal antibody for the intraoperative localization of colorectal tumors during radioimmunoguided surgery (R.I.G.S.)].
19921

About E. Seccamani

E. Seccamani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Pharmacology and Neurology, having authored 9 papers that have together received 452 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Peptidase Inhibition and Analysis (2 papers), Cell Adhesion Molecules Research (1 paper), Biotin and Related Studies (1 paper), Prostate Cancer Treatment and Research (1 paper), Neuroblastoma Research and Treatments (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (298 citations), Immunology and Allergy (35 citations), Oncology (87 citations), Immunology (69 citations) and Reproductive Medicine (19 citations). E. Seccamani has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Massimo Malcovati, Emmanuel Villa, F. Chiolerio, Lucia Lopalco, Claudio Rossetti, Felicia Zito, Patrizia Magnani, Giovanni Paganelli, Massimo A. Mariani and G. A. Scassellati. Their work appears in journals such as International Journal of Cancer, Applied Radiation and Isotopes, Molecular Immunology, PubMed and International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology.

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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