Maria Q. Baggstrom

105 total papers · 2.1k total citations
65 papers, 1.5k citations indexed

About

Maria Q. Baggstrom is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Maria Q. Baggstrom has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 39 papers in Pulmonary and Respiratory Medicine and 17 papers in Molecular Biology. Recurrent topics in Maria Q. Baggstrom's work include Lung Cancer Treatments and Mutations (34 papers), Lung Cancer Research Studies (24 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Maria Q. Baggstrom is often cited by papers focused on Lung Cancer Treatments and Mutations (34 papers), Lung Cancer Research Studies (24 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Maria Q. Baggstrom collaborates with scholars based in United States, Canada and Singapore. Maria Q. Baggstrom's co-authors include Ramaswamy Govindan, Daniel Morgensztern, Feng Gao, Saiama N. Waqar, Boone Goodgame, Thomas E. Stinchcombe, Mark A. Socinski, Thomas A. Hensing, Everett E. Vokes and Janakiraman Subramanian and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Maria Q. Baggstrom

61 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
Maria Q. Baggstrom 920 741 407 299 151 65 1.5k
Cheol Hyeon Kim 959 1.0× 832 1.1× 640 1.6× 270 0.9× 142 0.9× 67 1.7k
Gregory N. Gan 944 1.0× 799 1.1× 571 1.4× 239 0.8× 167 1.1× 59 1.8k
Rohan Garje 544 0.6× 1.1k 1.5× 423 1.0× 243 0.8× 148 1.0× 75 1.7k
Benjamin Levy 1.1k 1.2× 955 1.3× 523 1.3× 497 1.7× 193 1.3× 97 1.9k
Haruhiro Yukiue 1.0k 1.1× 814 1.1× 839 2.1× 354 1.2× 134 0.9× 71 2.0k
Suzanne Russo 625 0.7× 881 1.2× 654 1.6× 313 1.0× 109 0.7× 73 1.7k
Andrea Napolitano 1.1k 1.2× 479 0.6× 437 1.1× 329 1.1× 91 0.6× 72 1.9k
Kristen A. Marrone 751 0.8× 1.4k 2.0× 453 1.1× 187 0.6× 126 0.8× 74 2.0k
Sylvie Zanetta 598 0.7× 806 1.1× 528 1.3× 251 0.8× 109 0.7× 63 1.5k
Tom Wei‐Wu Chen 740 0.8× 1.4k 1.8× 391 1.0× 200 0.7× 79 0.5× 91 2.0k

Countries citing papers authored by Maria Q. Baggstrom

Since Specialization
Citations

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

Fields of papers citing papers by Maria Q. Baggstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Q. Baggstrom. 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 Maria Q. Baggstrom. The network helps show where Maria Q. Baggstrom may publish in the future.

Co-authorship network of co-authors of Maria Q. Baggstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Q. Baggstrom. A scholar is included among the top collaborators of Maria Q. Baggstrom 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 Maria Q. Baggstrom. Maria Q. Baggstrom 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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