Sara E. Monaco

4.3k citations
194 papers · 3.3k · h-index 28

Impact in

Papers in

Sara E. Monaco

182 papers receiving 3.1k citations

Peers

Sara E. Monaco
Comparison fields: 5 of 101
  • Oncology 747
  • Pulmonary and Respiratory Medicine 831
  • Endocrinology, Diabetes and Metabolism 413
  • Surgery 584
  • Pathology and Forensic Medicine 174
Replace Celeste N. Powers with:
Celeste N. Powers United States
Ann E. Walts United States
James S. Lewis United States
Albino Eccher Italy
Oscar Lin United States
Filippo Fraggetta Italy
Dorothy L. Rosenthal United States
G. Peter Vooijs Netherlands
Máire A. Duggan Canada
María Teresa Fernández‐Figueras Spain
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Citations per field
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Citations per year

Countries citing papers authored by Sara E. Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara E. Monaco, 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 Sara E. Monaco Line = papers co-authored together Sara E. Monaco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017307
2 2019139
3 2017137
4 2022132
5 2012129
6 201196
7 201490
8 202086
9 200780
10 200971
11 201565
12 201663
13 201362
14 201759
15 201058
16 201553
17 201042
18 201341
19 201341
20 201737

About Sara E. Monaco

Sara E. Monaco is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Physiology, Surgery and Pathology and Forensic Medicine, having authored 194 papers that have together received 3.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (25 papers), Lung Cancer Diagnosis and Treatment (22 papers), Lymphadenopathy Diagnosis and Analysis (17 papers), Thyroid Cancer Diagnosis and Treatment (17 papers), AI in cancer detection (16 papers), Breast Lesions and Carcinomas (14 papers), Cancer Diagnosis and Treatment (13 papers) and Telemedicine and Telehealth Implementation (10 papers). The work is most often cited by research in Oncology (747 citations), Pulmonary and Respiratory Medicine (831 citations), Endocrinology, Diabetes and Metabolism (413 citations), Surgery (584 citations) and Pathology and Forensic Medicine (174 citations). Sara E. Monaco has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Liron Pantanowitz, Walid E. Khalbuss, Sanja Đačić, Juan Xing, Lisa A. Teot, Marina N. Nikiforova, Yuri E. Nikiforov, John A. Ozolek, Erika F. Rodriguez and Guoping Cai. Their work appears in journals such as Cancer Cytopathology, Diagnostic Cytopathology, Acta Cytologica, Antibiotics and Cytopathology.

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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