Deedra Nicolet

212 total papers · 4.9k total citations
44 papers, 1.0k citations indexed

About

Deedra Nicolet is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Deedra Nicolet has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Hematology, 26 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Deedra Nicolet's work include Acute Myeloid Leukemia Research (35 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Deedra Nicolet is often cited by papers focused on Acute Myeloid Leukemia Research (35 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Deedra Nicolet collaborates with scholars based in United States, Belgium and Germany. Deedra Nicolet's co-authors include Clara D. Bloomfield, Krzysztof Mrózek, Richard M. Stone, Jessica Kohlschmidt, Jonathan E. Kolitz, Bayard L. Powell, John C. Byrd, Ann‐Kathrin Eisfeld, Andrew J. Carroll and James S. Blachly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Deedra Nicolet

40 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Deedra Nicolet 598 543 339 190 142 44 1.0k
Haiyang Yun 765 1.3× 651 1.2× 198 0.6× 275 1.4× 142 1.0× 25 1.1k
Jessica Kohlschmidt 757 1.3× 569 1.0× 310 0.9× 237 1.2× 196 1.4× 50 1.1k
Annika Dufour 655 1.1× 412 0.8× 127 0.4× 253 1.3× 154 1.1× 33 840
Hans Beier Ommen 936 1.6× 541 1.0× 163 0.5× 195 1.0× 429 3.0× 44 1.1k
Mariadomenica Divona 864 1.4× 797 1.5× 108 0.3× 165 0.9× 332 2.3× 49 1.2k
Dong‐ming Yao 683 1.1× 784 1.4× 314 0.9× 200 1.1× 69 0.5× 61 1.0k
Lingyun Wu 567 0.9× 439 0.8× 110 0.3× 182 1.0× 60 0.4× 62 963
Nicolas Duployez 615 1.0× 368 0.7× 133 0.4× 302 1.6× 186 1.3× 67 937
Rui Chen 398 0.7× 437 0.8× 106 0.3× 163 0.9× 48 0.3× 35 1.0k
R Neuwírtová 654 1.1× 364 0.7× 87 0.3× 302 1.6× 48 0.3× 61 946

Countries citing papers authored by Deedra Nicolet

Since Specialization
Citations

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

Fields of papers citing papers by Deedra Nicolet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deedra Nicolet

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