Edmund S. Cibas

22.4k total citations · 7 hit papers
186 papers, 14.2k citations indexed

About

Edmund S. Cibas is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Edmund S. Cibas has authored 186 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Surgery, 66 papers in Endocrinology, Diabetes and Metabolism and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Edmund S. Cibas's work include Thyroid Cancer Diagnosis and Treatment (66 papers), Head and Neck Anomalies (38 papers) and Cervical Cancer and HPV Research (27 papers). Edmund S. Cibas is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (66 papers), Head and Neck Anomalies (38 papers) and Cervical Cancer and HPV Research (27 papers). Edmund S. Cibas collaborates with scholars based in United States, Switzerland and China. Edmund S. Cibas's co-authors include Syed Z. Ali, Erik K. Alexander, Ellen Marqusee, Carol B. Benson, Mary C. Frates, Peter M. Doubilet, Jeffrey F. Krane, P. Reed Larsen, Stuart G. Silverman and Justine A. Barletta and has published in prestigious journals such as New England Journal of Medicine, Cell and Journal of Clinical Oncology.

In The Last Decade

Edmund S. Cibas

184 papers receiving 13.7k citations

Hit Papers

The Bethesda System for Reporting Thyroid Cytopathology 2007 2026 2013 2019 2009 2017 2009 2012 2007 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Bethesda System for Reporting Thyroid Cytopathology
    2009 1.5k citations Edmund S. Cibas, Syed Z. Ali profile →
  2. The 2017 Bethesda System for Reporting Thyroid Cytopathology
    2017 1.2k citations Edmund S. Cibas, Syed Z. Ali Thyroid profile →
  3. The Bethesda System for Reporting Thyroid Cytopathology
    2009 953 citations Edmund S. Cibas, Syed Z. Ali Thyroid profile →
  4. Preoperative Diagnosis of Benign Thyroid Nodules with Indeterminate Cytology
    2012 791 citations Erik K. Alexander, Edmund S. Cibas et al. profile →
  5. Long-term assessment of a multidisciplinary approach to thyroid nodule diagnostic evaluation
    2007 549 citations Edmund S. Cibas, Carol B. Benson et al. Cancer profile →
  6. A Nonapoptotic Cell Death Process, Entosis, that Occurs by Cell-in-Cell Invasion
    2007 547 citations Michael Overholtzer, Arnaud Mailleux et al. profile →
  7. Diagnosis of thyroid nodules
    2022 120 citations Erik K. Alexander, Edmund S. Cibas profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edmund S. Cibas United States 54 9.2k 7.0k 2.0k 2.0k 1.9k 186 14.2k
Zubair Baloch United States 59 10.9k 1.2× 8.0k 1.2× 1.3k 0.6× 1.6k 0.8× 2.0k 1.1× 322 15.7k
Syed Z. Ali United States 47 5.4k 0.6× 6.1k 0.9× 2.4k 1.2× 1.8k 0.9× 1.1k 0.6× 332 12.4k
Richard T. Kloos United States 44 13.7k 1.5× 8.3k 1.2× 745 0.4× 1.9k 0.9× 2.0k 1.0× 111 16.8k
Martha A. Zeiger United States 51 6.8k 0.7× 4.3k 0.6× 787 0.4× 1.1k 0.6× 1.7k 0.9× 184 11.9k
Ronald Ghossein United States 70 9.8k 1.1× 5.5k 0.8× 1.6k 0.8× 1.2k 0.6× 2.4k 1.3× 276 16.0k
Ian Ganly United States 64 5.3k 0.6× 6.1k 0.9× 2.0k 1.0× 1.1k 0.6× 3.1k 1.7× 330 15.4k
John R. Goellner United States 54 5.0k 0.5× 4.0k 0.6× 1.4k 0.7× 1.5k 0.7× 1.0k 0.6× 135 9.4k
Virginia A. LiVolsi United States 81 13.2k 1.4× 10.0k 1.4× 2.6k 1.3× 2.6k 1.3× 3.6k 1.9× 521 25.4k
Michelle D. Williams United States 53 2.9k 0.3× 3.0k 0.4× 1.5k 0.7× 852 0.4× 1.0k 0.5× 264 10.0k
Thomas J. Sebo United States 62 2.6k 0.3× 5.6k 0.8× 4.9k 2.4× 1000 0.5× 726 0.4× 206 12.3k

Countries citing papers authored by Edmund S. Cibas

Since Specialization
Citations

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

Fields of papers citing papers by Edmund S. Cibas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edmund S. Cibas. 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 Edmund S. Cibas. The network helps show where Edmund S. Cibas may publish in the future.

Co-authorship network of co-authors of Edmund S. Cibas

This figure shows the co-authorship network connecting the top 25 collaborators of Edmund S. Cibas. A scholar is included among the top collaborators of Edmund S. Cibas 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 Edmund S. Cibas. Edmund S. Cibas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Sarah J., Andrew A. Renshaw, Peter M. Sadow, et al.. (2024). Cytologic diagnosis of papillary renal neoplasm with reverse polarity. Cancer Cytopathology. 133(1). e22903–e22903. 1 indexed citations
2.
Rotondi, Mario, Mayumi Endo, Marsida Teliti, et al.. (2024). Beyond Malignancy Risk Stratification: FNAC Report Anticipates Thyroid Cancer Staging. Insights From Recent Studies. The Journal of Clinical Endocrinology & Metabolism. 110(3). e907–e910. 1 indexed citations
3.
4.
Chou, Roger, Tracy Dana, Sarah E. Mayson, et al.. (2023). Ultrasound Follow-Up of Benign Thyroid Nodules: A Scoping Review. Thyroid. 33(4). 420–427. 4 indexed citations
5.
Angell, Trevor E., Howard T. Heller, Edmund S. Cibas, et al.. (2019). Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules. Thyroid. 29(5). 650–656. 65 indexed citations
6.
Cherella, Christine E., Trevor E. Angell, Danielle M. Richman, et al.. (2019). Differences in Thyroid Nodule Cytology and Malignancy Risk Between Children and Adults. Thyroid. 29(8). 1097–1104. 54 indexed citations
7.
Cibas, Edmund S. & Syed Z. Ali. (2017). The 2017 Bethesda System for Reporting Thyroid Cytopathology. Thyroid. 27(11). 1341–1346. 1204 indexed citations breakdown →
8.
Strickland, Kyle C., Marina Vivero, Vickie Y. Jo, et al.. (2016). Preoperative Cytologic Diagnosis of Noninvasive Follicular Thyroid Neoplasm with Papillary-Like Nuclear Features: A Prospective Analysis. Thyroid. 26(10). 1466–1471. 83 indexed citations
9.
Rienzo, Assunta De, Beow Y. Yeap, Edmund S. Cibas, et al.. (2014). Gene Expression Ratio Test Distinguishes Normal Lung from Lung Tumors in Solid Tissue and FNA Biopsies. Journal of Molecular Diagnostics. 16(2). 267–272. 5 indexed citations
10.
Wong, Daniel, et al.. (2014). HER2 testing in malignant effusions of metastatic gastric carcinoma: Is it feasible?. Diagnostic Cytopathology. 43(1). 80–85. 16 indexed citations
11.
Ali, Syed Z. & Edmund S. Cibas. (2012). Serous Cavity Fluid and Cerebrospinal Fluid Cytopathology. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 8 indexed citations
12.
VanderLaan, Paul A., Jeffrey F. Krane, & Edmund S. Cibas. (2011). The Frequency of ‘Atypia of Undetermined Significance’ Interpretations for Thyroid Fine-Needle Aspirations Is Negatively Correlated with Histologically Proven Malignant Outcomes. Acta Cytologica. 55(6). 512–517. 53 indexed citations
13.
Ali, Syed Z. & Edmund S. Cibas. (2010). The Bethesda system for reporting thyroid cytopathology : definitions, criteria, and explanatory notes. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 298 indexed citations
14.
Overholtzer, Michael, Arnaud Mailleux, Ghassan Mouneimne, et al.. (2008). A non-apoptotic cell death process, entosis, that occurs by cell-in-cell invasion.. Cancer Research. 68. 1560–1560. 2 indexed citations
15.
Cibas, Edmund S. & Miguel A. Sánchez. (2008). The National Cancer Institute Thyroid Fine-Needle Aspiration State-of-the-Science Conference. Cancer. 114(2). 71–73. 52 indexed citations
16.
Cibas, Edmund S., et al.. (2006). Age-specific detection of high risk HPV DNA in cytologically normal, computer-imaged ThinPrep Pap samples. Gynecologic Oncology. 104(3). 702–706. 19 indexed citations
17.
O’Connell, Fionnuala & Edmund S. Cibas. (2005). Cytologic Features of Ciliated Adenocarcinoma of the Cervix. Acta Cytologica. 49(2). 187–190. 4 indexed citations
18.
Pitman, Martha B., Edmund S. Cibas, Celeste N. Powers, Andrew A. Renshaw, & William J. Frable. (2002). Reducing or eliminating use of the category of atypical squamous cells of undetermined significance decreases the diagnostic accuracy of the Papanicolaou smear. Cancer. 96(3). 128–134. 32 indexed citations
19.
Granter, Scott R., Edmund S. Cibas, & Andrew A. Renshaw. (2000). Reply to Dr. Gilcrease. Diagnostic Cytopathology. 22(1). 61–61. 2 indexed citations
20.
Masood, Shahla, Ricardo S. Cajulis, Edmund S. Cibas, David C. Wilbur, & Carlos Bedrossian. (1998). Automation in cytology: A survey conducted by the New Technology Task Force, Papanicolaou Society of Cytopathology. Diagnostic Cytopathology. 18(1). 47–55. 2 indexed citations

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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