Piver Ms

54 total papers · 573 total citations
44 papers, 446 citations indexed

About

Piver Ms is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Piver Ms has authored 44 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Reproductive Medicine, 13 papers in Obstetrics and Gynecology and 7 papers in Surgery. Recurrent topics in Piver Ms's work include Ovarian cancer diagnosis and treatment (23 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Reproductive Biology and Fertility (3 papers). Piver Ms is often cited by papers focused on Ovarian cancer diagnosis and treatment (23 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Reproductive Biology and Fertility (3 papers). Piver Ms collaborates with scholars based in United States. Piver Ms's co-authors include Marie Gamarra, Peter Greenwald, Yuiko Tsukada, Yuichiro Tsukada, John R. Lurain, John F. Barlow, John H. Malfetano, Y. Tsukada, Malaya Bhattacharya and Arbuck Sg and has published in prestigious journals such as European Journal of Gynaecological Oncology, PubMed and Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).

In The Last Decade

Piver Ms

43 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
Piver Ms	225	133	131	117	73	44	446
Summer Dewdney	167 0.7×	108 0.8×	190 1.5×	122 1.0×	61 0.8×	36	453
Sabrina Piedimonte	200 0.9×	95 0.7×	147 1.1×	89 0.8×	52 0.7×	38	387
Tashanna Myers	234 1.0×	115 0.9×	131 1.0×	123 1.1×	33 0.5×	29	375
J. Mould	168 0.7×	118 0.9×	217 1.7×	183 1.6×	58 0.8×	27	445
Danny Barnhill	162 0.7×	86 0.6×	152 1.2×	110 0.9×	62 0.8×	30	429
Beryl Manning‐Geist	170 0.8×	109 0.8×	118 0.9×	135 1.2×	29 0.4×	49	442
Marco D’Indinosante	296 1.3×	118 0.9×	222 1.7×	160 1.4×	85 1.2×	31	492
Anna Di Pinto	176 0.8×	133 1.0×	107 0.8×	178 1.5×	19 0.3×	35	480
L. Selvaggi	219 1.0×	59 0.4×	201 1.5×	79 0.7×	58 0.8×	41	476
Noriko Kinukawa	124 0.6×	57 0.4×	59 0.5×	123 1.1×	68 0.9×	32	468

Countries citing papers authored by Piver Ms

Since Specialization

Citations

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

Fields of papers citing papers by Piver Ms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piver Ms

This figure shows the co-authorship network connecting the top 25 collaborators of Piver Ms. A scholar is included among the top collaborators of Piver Ms 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 Piver Ms. Piver Ms 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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