M. G. Valsecchi

67 total papers · 1.6k total citations
27 papers, 861 citations indexed

About

M. G. Valsecchi is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. G. Valsecchi has authored 27 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 7 papers in Hematology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. G. Valsecchi's work include Acute Lymphoblastic Leukemia research (12 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). M. G. Valsecchi is often cited by papers focused on Acute Lymphoblastic Leukemia research (12 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). M. G. Valsecchi collaborates with scholars based in Italy, Austria and Netherlands. M. G. Valsecchi's co-authors include Ettore Marubini, J. Watkins, Giuseppe Masera, Wolfgang Mor, Valentino Conter, Maurizio Aricò, Carmelo Rizzari, Giuseppe Basso, Daniela Silvestri and Paola De Lorenzo and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Biometrics.

In The Last Decade

M. G. Valsecchi

25 papers receiving 824 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. G. Valsecchi	369	272	193	156	134	27	861
Alison Leiper	442 1.2×	489 1.8×	424 2.2×	122 0.8×	155 1.2×	27	984
Nina Salooja	340 0.9×	165 0.6×	317 1.6×	63 0.4×	155 1.2×	28	866
Petter Quist‐Paulsen	409 1.1×	296 1.1×	210 1.1×	57 0.4×	103 0.8×	19	747
G H Reaman	502 1.4×	310 1.1×	378 2.0×	97 0.6×	161 1.2×	17	913
Pamela J. Goodman	400 1.1×	430 1.6×	83 0.4×	237 1.5×	151 1.1×	22	984
Ray Hutchinson	377 1.0×	352 1.3×	113 0.6×	209 1.3×	174 1.3×	21	967
Archie Bleyer	400 1.1×	338 1.2×	184 1.0×	129 0.8×	232 1.7×	22	882
S Meller	194 0.5×	147 0.5×	370 1.9×	139 0.9×	176 1.3×	42	999
David S. Dickens	402 1.1×	531 2.0×	197 1.0×	69 0.4×	130 1.0×	41	1.0k
Danièle Sommelet	362 1.0×	346 1.3×	150 0.8×	90 0.6×	149 1.1×	28	820

Countries citing papers authored by M. G. Valsecchi

Since Specialization

Citations

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

Fields of papers citing papers by M. G. Valsecchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. G. Valsecchi

This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Valsecchi. A scholar is included among the top collaborators of M. G. Valsecchi 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. G. Valsecchi. M. G. Valsecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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