Mauro Saieg

1.6k citations
62 papers · 799 · h-index 17

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 6
    • Lung Cancer Diagnosis and Treatment 4
    • Salivary Gland Tumors Diagnosis and Treatment 4
    • Pancreatitis Pathology and Treatment 3

Mauro Saieg

58 papers receiving 779 citations

Peers

Mauro Saieg
Comparison fields: 5 of 66
  • Pulmonary and Respiratory Medicine 254
  • Endocrinology, Diabetes and Metabolism 125
  • Cancer Research 111
  • Oncology 149
  • Surgery 154
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Felicity Frost Australia
Sang‐Woo Juhng South Korea
Rambha Pandey India
Barbara Gazić Slovenia
Judy Pang United States
Ryunosuke Machida Japan
Munetsugu Hirata Japan
Leonardo S. Lino‐Silva Mexico
Kim HooKim United States
Chiung‐Ru Lai Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Mauro Saieg

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Saieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201187
2 201752
3 201245
4 201636
5 201535
6 201834
7 201231
8 201229
9 201925
10 201223
11 202022
12 201820
13 201819
14 201517
15 201917
16 202017
17 200817
18 201916
19 201315
20 201615

About Mauro Saieg

Mauro Saieg is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 62 papers that have together received 799 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (254 citations), Endocrinology, Diabetes and Metabolism (125 citations), Cancer Research (111 citations), Oncology (149 citations) and Surgery (154 citations). Mauro Saieg has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Gilda da Cunha Santos, William R. Geddie, Ricardo Pastorello, Natasha B. Leighl, Scott Boerner, Ming‐Sound Tsao, Hyang Mi Ko, Melania Pintilie, Giancarlo Troncone and Pio Zeppa. Their work appears in journals such as Cancer Cytopathology, Cytopathology, Diagnostic Cytopathology, Endoscopy and Archives of Pathology & Laboratory Medicine.

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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