Miriam Patya

20 total papers · 939 total citations
20 papers, 738 citations indexed

About

Miriam Patya is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Miriam Patya has authored 20 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Surgery. Recurrent topics in Miriam Patya's work include Congenital heart defects research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Cancer Treatment and Pharmacology (2 papers). Miriam Patya is often cited by papers focused on Congenital heart defects research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Cancer Treatment and Pharmacology (2 papers). Miriam Patya collaborates with scholars based in Israel and United States. Miriam Patya's co-authors include Abraham Novogrodsky, Alexey Vanichkin, Alexander Levitzki, Aviv Gazit, Nir Osherov, Kurt H. Stenzel, Abraham Weizman, Amos Frisch, Miri Carmel and Elena Michaelovsky and has published in prestigious journals such as Science, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Miriam Patya

20 papers receiving 717 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Patya 351 186 124 97 73 20 738
Marija Mostarica Stojković 260 0.7× 290 1.6× 183 1.5× 70 0.7× 91 1.2× 34 899
Adriana Magalska 509 1.5× 81 0.4× 108 0.9× 59 0.6× 104 1.4× 24 768
Rubén Martín 311 0.9× 192 1.0× 70 0.6× 43 0.4× 75 1.0× 18 679
Paul Diaz 362 1.0× 160 0.9× 50 0.4× 120 1.2× 65 0.9× 17 773
Prasun Guha 405 1.2× 202 1.1× 81 0.7× 100 1.0× 46 0.6× 18 765
Pauline Garcia 381 1.1× 242 1.3× 270 2.2× 85 0.9× 28 0.4× 13 908
Hongyuan Li 349 1.0× 202 1.1× 76 0.6× 68 0.7× 52 0.7× 32 713
Anna Trivett 314 0.9× 220 1.2× 112 0.9× 59 0.6× 39 0.5× 21 695
So Jin Bing 214 0.6× 230 1.2× 73 0.6× 54 0.6× 42 0.6× 35 697
Yoshiko Okamoto 306 0.9× 105 0.6× 52 0.4× 75 0.8× 83 1.1× 23 639

Countries citing papers authored by Miriam Patya

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Patya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Patya

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