Manuela Motta

26 papers receiving 1.2k citations

Peers

Manuela Motta
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 609
  • Hepatology 143
  • Oncology 240
  • Surgery 240
  • Reproductive Medicine 47
Replace Shigeto Maeda with:
Shigeto Maeda Japan
Yoshihiko Tokusashi Japan
Bruno Torchio Italy
Alda Corrado Italy
Donglin Sun China
Cheng–Lung Hsu Taiwan
Francesca Del Monte Italy
Hiroyuki Kaneto Japan
Tetsuro Sohda Japan
Hironori Hayashi Japan
Manuela Motta relative to Shigeto Maeda Japan Shigeto Maeda's profile →
Citations per field
00.5×4.3×
Shigeto Maeda · 1×
Citations per year

Countries citing papers authored by Manuela Motta

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 2009148
3 2004146
4 2007120
5 2013101
6 201276
7 200261
8 201560
9 200259
10 201059
11 201155
12 201433
13 201030
14 201227
15 201024
16 199419
17
Intratumoral microvessel density in advanced epithelial ovarian cancer and its use as a prognostic variable.
200618
18 201015
19 200714
20 201214

About Manuela Motta

Manuela Motta is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine, Hepatology and Molecular Biology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cardiac tumors and thrombi (2 papers), Thyroid and Parathyroid Surgery (2 papers), Head and Neck Anomalies (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (609 citations), Hepatology (143 citations), Oncology (240 citations), Surgery (240 citations) and Reproductive Medicine (47 citations). Manuela Motta has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Bruno Torchio, Maurilio Deandrea, Paolo Limone, N Palestini, Alberto Mormile, Vincenzo Marotta, Mario Vitale, Anna Guerra, Maria Rosaria Sapio and Guido Rossi. Their work appears in journals such as Expert Opinion on Therapeutic Targets, Endocrine Practice, The Journal of Pediatrics, The Journal of Clinical Endocrinology & Metabolism and Annals of Allergy Asthma & Immunology.

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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