Laura Padilla

57 total papers · 467 total citations
19 papers, 306 citations indexed

About

Laura Padilla is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laura Padilla has authored 19 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Radiation and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laura Padilla's work include Advanced Radiotherapy Techniques (12 papers), Advances in Oncology and Radiotherapy (8 papers) and Medical Imaging Techniques and Applications (4 papers). Laura Padilla is often cited by papers focused on Advanced Radiotherapy Techniques (12 papers), Advances in Oncology and Radiotherapy (8 papers) and Medical Imaging Techniques and Applications (4 papers). Laura Padilla collaborates with scholars based in United States, Mexico and Russia. Laura Padilla's co-authors include Hania Al‐Hallaq, Laura Cerviño, Erik Pearson, Charles A. Pelizzari, M. Kügele, Susan A. Higgins, Xiaoli Tang, Nicholas B. Remmes, Todd Pawlicki and Hyejoo Kang and has published in prestigious journals such as The Journal of the Acoustical Society of America, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

Laura Padilla

18 papers receiving 302 citations

Hit Papers

AAPM task group report 30... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Laura Padilla 245 194 161 46 43 19 306
Karl Rasmussen 228 0.9× 149 0.8× 162 1.0× 42 0.9× 30 0.7× 35 304
Xenia Ray 243 1.0× 193 1.0× 139 0.9× 48 1.0× 18 0.4× 29 299
Kelly Kisling 246 1.0× 204 1.1× 125 0.8× 62 1.3× 21 0.5× 23 300
Joshua Giambattista 182 0.7× 215 1.1× 87 0.5× 81 1.8× 31 0.7× 16 306
Daniel Saenz 260 1.1× 179 0.9× 172 1.1× 66 1.4× 8 0.2× 38 316
Carter Kolbeck 180 0.7× 206 1.1× 93 0.6× 80 1.7× 10 0.2× 15 349
Jordan Wong 182 0.7× 202 1.0× 93 0.6× 77 1.7× 10 0.2× 19 336
Roberta Castriconi 214 0.9× 141 0.7× 191 1.2× 78 1.7× 38 0.9× 29 304
F. Crop 269 1.1× 196 1.0× 186 1.2× 53 1.2× 60 1.4× 33 361
Martijn Kusters 195 0.8× 110 0.6× 97 0.6× 78 1.7× 12 0.3× 14 267

Countries citing papers authored by Laura Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Laura Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Padilla

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