M H Polymeropoulos

11 total papers · 904 total citations
9 papers, 754 citations indexed

About

M H Polymeropoulos is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, M H Polymeropoulos has authored 9 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in M H Polymeropoulos's work include Endoplasmic Reticulum Stress and Disease (2 papers), Folate and B Vitamins Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). M H Polymeropoulos is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (2 papers), Folate and B Vitamins Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). M H Polymeropoulos collaborates with scholars based in United States, Hungary and United Kingdom. M H Polymeropoulos's co-authors include Rosarelis Torres, M Swift, Ronnie Gorman Swift, Anindya Dehejia, Éva Mezey, M. Brownstein, G Harta, M Papp, Rosa Isela Ortiz De Luna and Clair A. Francomano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

M H Polymeropoulos

9 papers receiving 735 citations

Author Peers

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

Author						Papers	Cites
M H Polymeropoulos	405	182	171	144	136	9	754
Amanda M. Haidet	570 1.4×	116 0.6×	147 0.9×	164 1.1×	145 1.1×	7	843
Natália Tőkési	474 1.2×	253 1.4×	111 0.6×	184 1.3×	133 1.0×	23	835
Katerina K. Papachroni	266 0.7×	90 0.5×	116 0.7×	56 0.4×	180 1.3×	10	662
Helgi Tarikas	564 1.4×	128 0.7×	87 0.5×	74 0.5×	87 0.6×	9	854
Pierre Mazot	575 1.4×	95 0.5×	83 0.5×	83 0.6×	116 0.9×	14	820
Daniela Stauffer	538 1.3×	110 0.6×	100 0.6×	54 0.4×	126 0.9×	13	796
Esti Liani	360 0.9×	111 0.6×	151 0.9×	44 0.3×	313 2.3×	10	729
Christopher Böhm	475 1.2×	163 0.9×	498 2.9×	92 0.6×	85 0.6×	15	835
Natalia Martín	372 0.9×	74 0.4×	117 0.7×	160 1.1×	59 0.4×	17	795
Blerida Banushi	258 0.6×	102 0.6×	142 0.8×	33 0.2×	149 1.1×	13	624

Countries citing papers authored by M H Polymeropoulos

Since Specialization

Citations

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

Fields of papers citing papers by M H Polymeropoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M H Polymeropoulos

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