Lachelle D. Weeks

102 total papers · 1.6k total citations
36 papers, 652 citations indexed

About

Lachelle D. Weeks is a scholar working on Genetics, Hematology and Oncology. According to data from OpenAlex, Lachelle D. Weeks has authored 36 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Hematology and 10 papers in Oncology. Recurrent topics in Lachelle D. Weeks's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (10 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Lachelle D. Weeks is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (10 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Lachelle D. Weeks collaborates with scholars based in United States, Sweden and Netherlands. Lachelle D. Weeks's co-authors include Benjamin L. Ebert, Stanton L. Gerson, Irene M. Ghobrial, Tarek H. Mouhieddine, Pingfu Fu, Pradeep Natarajan, Abhishek Niroula, Md Mesbah Uddin, Alexander G. Bick and Siddhartha Jaiswal and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Blood.

In The Last Decade

Lachelle D. Weeks

30 papers receiving 647 citations

Hit Papers

Prediction of Risk for My... 2023 2026 2024 2023 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Lachelle D. Weeks 310 241 229 101 73 36 652
Sarah Moore 265 0.9× 174 0.7× 173 0.8× 134 1.3× 48 0.7× 32 559
Lucia Casarino 323 1.0× 162 0.7× 163 0.7× 131 1.3× 50 0.7× 25 605
Sujiang Zhang 369 1.2× 323 1.3× 221 1.0× 146 1.4× 113 1.5× 62 697
Ali Tabarroki 445 1.4× 346 1.4× 223 1.0× 60 0.6× 60 0.8× 27 674
Stéphanie Struski 170 0.5× 263 1.1× 133 0.6× 112 1.1× 84 1.2× 30 593
Maitrayee Goswami 503 1.6× 190 0.8× 302 1.3× 162 1.6× 55 0.8× 31 725
Montserrat Torrebadell 351 1.1× 220 0.9× 188 0.8× 137 1.4× 55 0.8× 21 562
Kazuko Hirabayashi 214 0.7× 340 1.4× 177 0.8× 58 0.6× 78 1.1× 27 781
Costanza Bosi 385 1.2× 280 1.2× 210 0.9× 51 0.5× 30 0.4× 25 628
Catherine Cargo 415 1.3× 135 0.6× 371 1.6× 49 0.5× 57 0.8× 28 602

Countries citing papers authored by Lachelle D. Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Lachelle D. Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lachelle D. Weeks. 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 Lachelle D. Weeks. The network helps show where Lachelle D. Weeks may publish in the future.

Co-authorship network of co-authors of Lachelle D. Weeks

This figure shows the co-authorship network connecting the top 25 collaborators of Lachelle D. Weeks. A scholar is included among the top collaborators of Lachelle D. Weeks 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 Lachelle D. Weeks. Lachelle D. Weeks 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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