Maria M. Rubinstein

61 total papers · 606 total citations
26 papers, 296 citations indexed

About

Maria M. Rubinstein is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Maria M. Rubinstein has authored 26 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Obstetrics and Gynecology, 13 papers in Reproductive Medicine and 10 papers in Molecular Biology. Recurrent topics in Maria M. Rubinstein's work include Endometrial and Cervical Cancer Treatments (13 papers), Ovarian cancer diagnosis and treatment (11 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Maria M. Rubinstein is often cited by papers focused on Endometrial and Cervical Cancer Treatments (13 papers), Ovarian cancer diagnosis and treatment (11 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Maria M. Rubinstein collaborates with scholars based in United States, France and Canada. Maria M. Rubinstein's co-authors include Vicky Makker, Neil M. Iyengar, Kristy A. Brown, Carol Aghajanian, Rachel N. Grisham, Karen A. Cadoo, Alexia Iasonos, Qin Zhou, David M. Hyman and Roisin E. O’Cearbhaill and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Maria M. Rubinstein

23 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
Maria M. Rubinstein 119 104 101 81 50 26 296
Shujie Pang 64 0.5× 114 1.1× 52 0.5× 88 1.1× 57 1.1× 20 276
G. Rangoni 88 0.7× 142 1.4× 111 1.1× 44 0.5× 31 0.6× 26 360
Daniela Freitas 157 1.3× 111 1.1× 94 0.9× 68 0.8× 44 0.9× 24 364
Sema Özuysal 78 0.7× 63 0.6× 54 0.5× 69 0.9× 37 0.7× 21 326
Congrong Liu 79 0.7× 94 0.9× 65 0.6× 85 1.0× 70 1.4× 29 306
Domenico Ferraioli 78 0.7× 86 0.8× 134 1.3× 116 1.4× 43 0.9× 27 311
Jennifer McLachlan 61 0.5× 116 1.1× 114 1.1× 74 0.9× 24 0.5× 21 280
Kate Oliver 76 0.6× 108 1.0× 89 0.9× 119 1.5× 36 0.7× 27 304
Suk Bong Koh 120 1.0× 92 0.9× 154 1.5× 34 0.4× 34 0.7× 29 335
M Abrate 129 1.1× 95 0.9× 49 0.5× 102 1.3× 25 0.5× 25 365

Countries citing papers authored by Maria M. Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by Maria M. Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria M. Rubinstein

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026