Laura C. Michaelis

198 total papers · 2.3k total citations
73 papers, 908 citations indexed

About

Laura C. Michaelis is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Laura C. Michaelis has authored 73 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 25 papers in Genetics and 20 papers in Molecular Biology. Recurrent topics in Laura C. Michaelis's work include Acute Myeloid Leukemia Research (32 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers) and Acute Lymphoblastic Leukemia research (14 papers). Laura C. Michaelis is often cited by papers focused on Acute Myeloid Leukemia Research (32 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers) and Acute Lymphoblastic Leukemia research (14 papers). Laura C. Michaelis collaborates with scholars based in United States, Canada and China. Laura C. Michaelis's co-authors include Mark J. Ratain, Olatoyosi Odenike, Michael H. Kroll, Srđan Verstovšek, Aram Oganesian, Michael R. Savona, Hagop M. Kantarjian, David P. Steensma, Amy E. DeZern and Guillermo Garcia‐Manero and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

Laura C. Michaelis

71 papers receiving 897 citations

Author Peers

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

Author Last Decade Papers Cites
Laura C. Michaelis 490 381 264 139 132 73 908
Radovan Vrḫovac 242 0.5× 223 0.6× 330 1.3× 253 1.8× 90 0.7× 65 803
Andrija Bogdanović 461 0.9× 288 0.8× 278 1.1× 140 1.0× 60 0.5× 95 885
Jin‐Hou Wu 598 1.2× 346 0.9× 304 1.2× 169 1.2× 181 1.4× 58 991
G. Ehninger 463 0.9× 162 0.4× 144 0.5× 170 1.2× 110 0.8× 56 859
Peter Ernst 346 0.7× 288 0.8× 115 0.4× 203 1.5× 171 1.3× 40 815
Frank Giles 505 1.0× 337 0.9× 353 1.3× 188 1.4× 88 0.7× 68 913
Richard L. DeGowin 339 0.7× 139 0.4× 243 0.9× 176 1.3× 121 0.9× 45 1.0k
Noriyoshi Iriyama 423 0.9× 312 0.8× 292 1.1× 263 1.9× 85 0.6× 83 944
Edgar Faber 399 0.8× 150 0.4× 288 1.1× 167 1.2× 80 0.6× 85 808
Matteo Molica 483 1.0× 250 0.7× 338 1.3× 162 1.2× 72 0.5× 69 765

Countries citing papers authored by Laura C. Michaelis

Since Specialization
Citations

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

Fields of papers citing papers by Laura C. Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura C. Michaelis. 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 Laura C. Michaelis. The network helps show where Laura C. Michaelis may publish in the future.

Co-authorship network of co-authors of Laura C. Michaelis

This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Michaelis. A scholar is included among the top collaborators of Laura C. Michaelis 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 Laura C. Michaelis. Laura C. Michaelis 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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