Patricia Maeda

459 citations
17 papers · 188 · h-index 7

Impact in

Papers in

Patricia Maeda

14 papers receiving 187 citations

Peers

Patricia Maeda
Comparison fields: 5 of 36
  • Endocrinology, Diabetes and Metabolism 71
  • Oncology 66
  • Pulmonary and Respiratory Medicine 44
  • Cancer Research 19
  • Otorhinolaryngology 4
Replace Cristina Pizzimenti with:
Cristina Pizzimenti Italy
Ricarda Norenberg United States
Dmitri Grebennik United States
Jan‐Willem B. de Groot Netherlands
Alejandro García‐Álvarez Spain
Qinghai Ji China
Markus Klemke Germany
Vinay Gudena United States
Carla Vaz Ferreira Brazil
Irene Delgado‐Sainz Spain
Patricia Maeda relative to Cristina Pizzimenti Italy Cristina Pizzimenti's profile →
Citations per field
00.5×5.8×
Cristina Pizzimenti · 1×
Citations per year

Countries citing papers authored by Patricia Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patricia Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patricia Maeda Line = papers co-authored together Patricia Maeda links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201739
2 202028
3 202425
4 202225
5 202123
6 202116
7 201414
8 20165
9 20234
10 20243
11 20202
12 20242
13 20231
14 20231
15 20240
16 20230
17 20240

About Patricia Maeda

Patricia Maeda is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Economics and Econometrics and Cancer Research, having authored 17 papers that have together received 188 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Treatment and Pharmacology (2 papers), Cancer-related Molecular Pathways (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (71 citations), Oncology (66 citations), Pulmonary and Respiratory Medicine (44 citations), Cancer Research (19 citations) and Otorhinolaryngology (4 citations). Patricia Maeda has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marcia S. Brose, Chris Nevala-Plagemann, Lori J. Wirth, Vaia Florou, Ignacio Garrido‐Laguna, Glynn Weldon Gilcrease, Bruce Robinson, Jonathan Whisenant, William J. Gradishar and Alexander Drilon. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Value in Health, Clinical Breast Cancer and European Journal of Cancer.

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.

Explore authors with similar magnitude of impact