Massimo Granai

643 citations
28 papers · 197 · h-index 9

Impact in

Papers in

Massimo Granai

27 papers receiving 196 citations

Peers

Massimo Granai
Comparison fields: 5 of 39
  • Pathology and Forensic Medicine 74
  • Oncology 106
  • Genetics 31
  • Immunology 43
  • Obstetrics and Gynecology 9
Replace Maria Moschogiannis with:
Maria Moschogiannis Greece
Zdravko Mitrović Croatia
Dimas Suárez‐Vilela Spain
Martina Manni Italy
Mirjam Fässler Switzerland
Jesús Alarcón Spain
Verónica Celis Spain
Arantza Onaindía Spain
S. Gottstein Germany
Shuling Han China
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Granai

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Granai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201737
2 202031
3 201915
4 202311
5 202211
6 201910
7
Prognostic impact of tumor-associated macrophages, lymphocyte-to-monocyte and neutrophil-to-lymphocyte ratio in diffuse large B-cell lymphoma.
20209
8 20228
9 20228
10 20228
11 20217
12 20206
13 20234
14 20174
15 20244
16 20253
17 20213
18 20213
19 20203
20 20232

About Massimo Granai

Massimo Granai is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Surgery and Molecular Biology, having authored 28 papers that have together received 197 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (5 papers), Polyomavirus and related diseases (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (74 citations), Oncology (106 citations), Genetics (31 citations), Immunology (43 citations) and Obstetrics and Gynecology (9 citations). Massimo Granai has collaborated with scholars based in Italy, Germany and Ireland. Frequent co-authors include Stefano Lazzi, Lorenzo Leoncini, Lucia Mundo, Falko Fend, Leticia Quintanilla‐Martínez, Pier Paolo Piccaluga, Cristiana Bellan, Virginia Mancini, Mohsen Navari and Maria Raffaella Ambrosio. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Haematologica, Histopathology, Cancers and BMC Gastroenterology.

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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