Lauren E. Ta

23 total papers · 1.9k total citations
17 papers, 1.5k citations indexed

About

Lauren E. Ta is a scholar working on Oncology, Dermatology and Hematology. According to data from OpenAlex, Lauren E. Ta has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Dermatology and 6 papers in Hematology. Recurrent topics in Lauren E. Ta's work include Cancer Treatment and Pharmacology (10 papers), Chemotherapy-related skin toxicity (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Lauren E. Ta is often cited by papers focused on Cancer Treatment and Pharmacology (10 papers), Chemotherapy-related skin toxicity (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Lauren E. Ta collaborates with scholars based in United States, Switzerland and China. Lauren E. Ta's co-authors include Anthony J. Windebank, Jewel L. Podratz, Philip Low, Charles L. Loprinzi, Raymond A. Dionne, Nathan P. Staff, Allan J. Bieber, Jennifer Gass, Andrew M. Knight and Susan M. Carlton and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Brain Research.

In The Last Decade

Lauren E. Ta

17 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Lauren E. Ta 832 430 324 210 196 17 1.5k
Sherry L. Wolf 892 1.1× 346 0.8× 109 0.3× 390 1.9× 150 0.8× 17 1.2k
Jewel L. Podratz 481 0.6× 171 0.4× 337 1.0× 87 0.4× 120 0.6× 22 1.1k
Gene M. Williams 337 0.4× 655 1.5× 590 1.8× 114 0.5× 229 1.2× 18 1.7k
Sabrina Ramnarine 871 1.0× 328 0.8× 109 0.3× 341 1.6× 138 0.7× 9 1.1k
Michaela S. Banck 562 0.7× 284 0.7× 985 3.0× 62 0.3× 84 0.4× 29 1.8k
H. Zhang 317 0.4× 273 0.6× 555 1.7× 49 0.2× 106 0.5× 24 1.2k
G. Metzger 1.0k 1.3× 193 0.4× 313 1.0× 53 0.3× 394 2.0× 35 1.8k
TinaMarie Lieu 282 0.3× 270 0.6× 422 1.3× 133 0.6× 88 0.4× 17 1.3k
Lothar Färber 377 0.5× 114 0.3× 252 0.8× 101 0.5× 94 0.5× 16 1.1k
Satyanarayana Medicherla 449 0.5× 234 0.5× 556 1.7× 23 0.1× 248 1.3× 30 1.4k

Countries citing papers authored by Lauren E. Ta

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. Ta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. Ta. 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 Lauren E. Ta. The network helps show where Lauren E. Ta may publish in the future.

Co-authorship network of co-authors of Lauren E. Ta

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren E. Ta. A scholar is included among the top collaborators of Lauren E. Ta 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 Lauren E. Ta. Lauren E. Ta 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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