M Latteri

1.4k citations
76 papers · 1.0k indexed · h-index 20

Impact in

Papers in

M Latteri

73 papers receiving 975 citations

Peers

M Latteri
Comparison fields: 5 of 82
  • Cancer Research 230
  • Endocrinology, Diabetes and Metabolism 239
  • Hepatology 110
  • Oncology 318
  • Pathology and Forensic Medicine 206
Replace Giacomo Borgonovo with:
Giacomo Borgonovo Italy
Calogero Cipolla Italy
Shunzo Maetani Japan
M Lecomte-Houcke France
Paolo Aurello Italy
Heiji Yoshinaka Japan
Pierre Goudet France
Randall P. Owen United States
Claudio Soravia Switzerland
Selda Seçkın Türkiye
M Latteri relative to Giacomo Borgonovo Italy Giacomo Borgonovo's profile →
Citations per field
00.5×2.7×
Giacomo Borgonovo · 1×
Citations per year

Countries citing papers authored by M Latteri

Since Specialization
Citations

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

Fields of papers citing papers by M Latteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20214
2 20212
3 20201
4 202015
5 20198
6 201912
7 20166
8 201024
9 200924
10 20091
11 200829
12 200514
13
p53 Mutations in L3-Loop Zinc-binding Domain, DNA-Ploidy, and S Phase Fraction Are Independent Prognostic Indicators in Colorectal Cancer
20021
14 200124
15 200115
16
Les tumeurs phyllodes du sein
19961
17 199515
18 199321
19 199353
20 19888

About M Latteri

M Latteri is a scholar working on Cancer Research, Pathology and Forensic Medicine, Hepatology, Oncology and Surgery, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (14 papers), Thyroid and Parathyroid Surgery (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Breast Implant and Reconstruction (6 papers) and Cancer and Skin Lesions (5 papers). The work is most often cited by research in Cancer Research (230 citations), Endocrinology, Diabetes and Metabolism (239 citations), Hepatology (110 citations), Oncology (318 citations) and Pathology and Forensic Medicine (206 citations). M Latteri has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Calogero Cipolla, Giuseppa Graceffa, Salvatore Vieni, Salvatore Fricano, Luigi Sandonato, Adriana Torcivia, Daniela Cabibi, Vittorio Gebbia, Gianni Pantuso and Nicola Gebbia. Their work appears in journals such as The American Surgeon, Anti-Cancer Drugs, Surgery Today, World Journal of Surgical Oncology and Langenbeck s Archives of Surgery.

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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