M Messina

1.4k total citations
30 papers, 750 citations indexed

About

M Messina is a scholar working on Pathology and Forensic Medicine, Nephrology and Rheumatology. According to data from OpenAlex, M Messina has authored 30 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Nephrology and 7 papers in Rheumatology. Recurrent topics in M Messina's work include Multiple Sclerosis Research Studies (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Polyomavirus and related diseases (4 papers). M Messina is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Polyomavirus and related diseases (4 papers). M Messina collaborates with scholars based in Italy, United States and Netherlands. M Messina's co-authors include Gıancarlo Comı, Vittorio Martinelli, Gloria Dalla Costa, Alberto Mariani, Ilaria Cosorich, Roberto Ferrarese, Chiara Sorini, Marika Falcone, Filippo Canducci and Rosanna Coppo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

M Messina

26 papers receiving 719 citations

Peers

M Messina
Comparison fields: 5 of 89
  • Molecular Biology 254
  • Pathology and Forensic Medicine 156
  • Immunology 146
  • Neurology 130
  • Nephrology 112
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Citations per field, relative to M Messina
M Messina · 1×
Citations per year, relative to M Messina
M Messina · 1×

Countries citing papers authored by M Messina

Since Specialization
Citations

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

Fields of papers citing papers by M Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Messina

This figure shows the co-authorship network connecting the top 25 collaborators of M Messina. A scholar is included among the top collaborators of M Messina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Messina. M Messina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 16
3 15
4 15
5 2
6 1
7 25
8 15
9 3
10 24
11 107
12 17
13 5
14 36
15
Laparoscopic splenectomy: postero-lateral approach
0
16 23
17 2
18
Plasma exchange in immune complex glomerulonephritis: clinical and immunological correlations.
4
19
IgA1 and IgA2 in circulating immune complexes and in renal deposits of Berger's and Schönlein-Henoch glomerulonephritis.
8
20
The polymorphonuclear neutrophil (PMN) immunohistological technique: detection of immune complexes bound to the PMN membrane in acute poststreptococcal and lupus nephritis.
28

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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