M. S. Tassinari

11 total papers · 769 total citations
9 papers, 670 citations indexed

About

M. S. Tassinari is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. S. Tassinari has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. S. Tassinari's work include Bone and Dental Protein Studies (2 papers), Estrogen and related hormone effects (2 papers) and Bone Metabolism and Diseases (2 papers). M. S. Tassinari is often cited by papers focused on Bone and Dental Protein Studies (2 papers), Estrogen and related hormone effects (2 papers) and Bone Metabolism and Diseases (2 papers). M. S. Tassinari collaborates with scholars based in United States and Belgium. M. S. Tassinari's co-authors include Thomas A. Owen, Jane B. Lian, Gary S. Stein, L. C. Gerstenfeld, Jane B. Lian, Julie Glowacki, Mark E. Hurtt, Gregg D. Cappon, N J Tarbell and W. J. Kernan and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

M. S. Tassinari

9 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
M. S. Tassinari	298	223	163	135	99	9	670
B. Ecarot-Charrier	309 1.0×	253 1.1×	140 0.9×	137 1.0×	109 1.1×	9	671
Antje Naumann	294 1.0×	104 0.5×	78 0.5×	125 0.9×	62 0.6×	8	557
Kyomi Ibaraki	364 1.2×	319 1.4×	155 1.0×	111 0.8×	33 0.3×	15	720
J. N. M. Heersche	352 1.2×	131 0.6×	62 0.4×	142 1.1×	44 0.4×	21	652
Weibiao Huang	284 1.0×	104 0.5×	198 1.2×	64 0.5×	48 0.5×	18	642
Shiro Kasai	423 1.4×	84 0.4×	104 0.6×	133 1.0×	70 0.7×	16	788
B. Brooks	250 0.8×	232 1.0×	172 1.1×	71 0.5×	138 1.4×	13	745
J.P. Mansell	225 0.8×	248 1.1×	91 0.6×	117 0.9×	69 0.7×	14	670
ZaWaunyka Lazard	320 1.1×	194 0.9×	103 0.6×	164 1.2×	169 1.7×	17	766
A Conti	395 1.3×	186 0.8×	138 0.8×	116 0.9×	34 0.3×	11	787

Countries citing papers authored by M. S. Tassinari

Since Specialization

Citations

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

Fields of papers citing papers by M. S. Tassinari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Tassinari

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Tassinari. A scholar is included among the top collaborators of M. S. Tassinari 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. S. Tassinari. M. S. Tassinari 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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