Minodora Onisâi

85 total papers · 443 total citations
39 papers, 259 citations indexed

About

Minodora Onisâi is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Minodora Onisâi has authored 39 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 18 papers in Genetics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Minodora Onisâi's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Platelet Disorders and Treatments (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Minodora Onisâi is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Platelet Disorders and Treatments (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Minodora Onisâi collaborates with scholars based in Romania, United States and United Kingdom. Minodora Onisâi's co-authors include Horia Bumbea, Ana‐Maria Vlădăreanu, Radu Vlădăreanu, Viola Maria Popov, Camelia Dobrea, Bogdan Ovidiu Popescu, Constantin Căruntu, Suzana Elena Voiculescu, Cristina Marinescu and Tudor Savopol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

Minodora Onisâi

37 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Minodora Onisâi 112 62 46 43 31 39 259
Y Enomoto 146 1.3× 67 1.1× 67 1.5× 78 1.8× 52 1.7× 34 315
Hava Üsküdar Teke 105 0.9× 55 0.9× 44 1.0× 31 0.7× 32 1.0× 53 271
Eren Gündüz 169 1.5× 71 1.1× 36 0.8× 25 0.6× 41 1.3× 62 321
Yeu‐Chin Chen 132 1.2× 45 0.7× 38 0.8× 83 1.9× 53 1.7× 55 308
Miriam Quitt 103 0.9× 70 1.1× 57 1.2× 49 1.1× 58 1.9× 31 298
Te‐Kau Chang 98 0.9× 38 0.6× 47 1.0× 62 1.4× 76 2.5× 26 297
Dan Xu 168 1.5× 73 1.2× 16 0.3× 32 0.7× 41 1.3× 42 260
Jaime Garcı́a-Chávez 218 1.9× 77 1.2× 37 0.8× 19 0.4× 47 1.5× 32 311
Émilie Chalayer 110 1.0× 56 0.9× 18 0.4× 36 0.8× 27 0.9× 31 243
Shin Matsuda 183 1.6× 79 1.3× 31 0.7× 24 0.6× 59 1.9× 44 322

Countries citing papers authored by Minodora Onisâi

Since Specialization
Citations

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

Fields of papers citing papers by Minodora Onisâi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minodora Onisâi

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