Marcella Flora

411 citations
7 papers · 332 · h-index 7

Impact in

Papers in

    • HER2/EGFR in Cancer Research 4
    • Colorectal Cancer Treatments and Studies 1
    • Cancer Treatment and Pharmacology 1
    • Glycosylation and Glycoproteins Research 2

Marcella Flora

7 papers receiving 323 citations

Peers

Marcella Flora
Comparison fields: 5 of 47
  • Endocrinology, Diabetes and Metabolism 142
  • Oncology 122
  • Cancer Research 67
  • Surgery 113
  • Radiology, Nuclear Medicine and Imaging 58
Replace Gordana Pupić with:
Gordana Pupić Serbia
Patricia Borges de Souza Italy
Rong-Liang Shi China
Carrie B. Marshall United States
Soyoung Im South Korea
Sotaro Otake Japan
Eric Casal Ide Italy
Danila Serpico Italy
Gustavo G. Fernandez Ranvier United States
Adriana Gaspar da Rocha Portugal
Marcella Flora relative to Gordana Pupić Serbia Gordana Pupić's profile →
Citations per field
00.5×1.5×2.4×
Gordana Pupić · 1×
Citations per year

Countries citing papers authored by Marcella Flora

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Flora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1999134
2 201154
3 200248
4 200336
5 200632
6 200118
7 201210

About Marcella Flora

Marcella Flora is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery, having authored 7 papers that have together received 332 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer Treatment and Pharmacology (1 paper), Breast Cancer Treatment Studies (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (142 citations), Oncology (122 citations), Cancer Research (67 citations), Surgery (113 citations) and Radiology, Nuclear Medicine and Imaging (58 citations). Marcella Flora has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include A Caroggio, Andrea Frasoldati, Roberto Valcavi, Michele Zini, Elena Toschi, C Dotti, Rita Nizzoli, Cecilia Bozzetti, Stefano Cascinu and Nadia Naldi. Their work appears in journals such as Thyroid, Cancer, Annals of Oncology, Oncogene and American Journal of Clinical Oncology.

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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