Pamela Michelow

1.9k total citations
63 papers, 1.0k citations indexed

About

Pamela Michelow is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Pamela Michelow has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 21 papers in Oncology and 16 papers in Surgery. Recurrent topics in Pamela Michelow's work include Cervical Cancer and HPV Research (28 papers), AI in cancer detection (16 papers) and Hepatitis B Virus Studies (11 papers). Pamela Michelow is often cited by papers focused on Cervical Cancer and HPV Research (28 papers), AI in cancer detection (16 papers) and Hepatitis B Virus Studies (11 papers). Pamela Michelow collaborates with scholars based in South Africa, United States and France. Pamela Michelow's co-authors include Liron Pantanowitz, Gladwyn Leiman, Roland Höllhumer, Susan Williams, Tanvier Omar, Scott Hazelhurst, Rajiv Dhir, Shehnaz Khan, Daphna Laifenfeld and Chaim Linhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Pamela Michelow

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela Michelow South Africa 18 377 359 315 251 222 63 1.0k
Alessandro Caputo Italy 16 114 0.3× 197 0.5× 168 0.5× 141 0.6× 173 0.8× 80 701
Olivier Morin United States 25 254 0.7× 221 0.6× 1.8k 5.9× 130 0.5× 151 0.7× 117 2.6k
Michael J. Thrall United States 20 379 1.0× 247 0.7× 126 0.4× 249 1.0× 235 1.1× 70 1.1k
Swapnil Rane India 16 67 0.2× 179 0.5× 279 0.9× 182 0.7× 112 0.5× 82 853
Mohammadhadi Bagheri United States 19 85 0.2× 144 0.4× 535 1.7× 404 1.6× 181 0.8× 66 1.5k
Ioannis Panayiotides Greece 17 307 0.8× 176 0.5× 80 0.3× 204 0.8× 126 0.6× 82 799
Sergio Venanzio Setola Italy 24 183 0.5× 83 0.2× 772 2.5× 526 2.1× 381 1.7× 90 1.7k
Vitor Werneck Krauss Silva United States 6 126 0.3× 1.1k 3.2× 786 2.5× 456 1.8× 202 0.9× 6 1.7k
Rosalind Given-Wilson United Kingdom 20 42 0.1× 447 1.2× 362 1.1× 369 1.5× 92 0.4× 64 1.1k
Francesca Patella Italy 13 66 0.2× 147 0.4× 224 0.7× 52 0.2× 130 0.6× 24 636

Countries citing papers authored by Pamela Michelow

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Michelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Michelow

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Michelow. A scholar is included among the top collaborators of Pamela Michelow 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 Pamela Michelow. Pamela Michelow 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.
Höllhumer, Roland, Pamela Michelow, Elena Libhaber, & Susan Williams. (2025). Management and outcomes of ocular surface squamous neoplasia at a tertiary hospital, South Africa. Eye. 39(14). 2713–2719.
2.
Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations
3.
Höllhumer, Roland, Pamela Michelow, & Susan Williams. (2023). Demographics, clinical presentation and risk factors of ocular surface squamous neoplasia at a tertiary hospital, South Africa. Eye. 37(17). 3602–3608. 11 indexed citations
4.
Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 indexed citations
5.
Höllhumer, Roland, Pamela Michelow, & Susan Williams. (2023). Comparison of non-invasive diagnostic modalities for ocular surface squamous neoplasia at a tertiary hospital, South Africa. Eye. 38(6). 1118–1124. 3 indexed citations
6.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 86–96. 27 indexed citations
7.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 97–110. 33 indexed citations
8.
Michelow, Pamela, et al.. (2022). Are synthetic cytology images ready for prime time? A comparative assessment of real and synthetic urine cytology images. Journal of the American Society of Cytopathology. 12(2). 126–135. 5 indexed citations
9.
Michelow, Pamela, et al.. (2022). Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology. Journal of the American Society of Cytopathology. 11(3). 123–132. 11 indexed citations
10.
Michelow, Pamela, et al.. (2021). The Dynamics of Pathology Dataset Creation Using Urine Cytology as an Example. Acta Cytologica. 66(1). 46–54. 3 indexed citations
11.
Michelow, Pamela, et al.. (2021). The Utility of Unsupervised Machine Learning in Anatomic Pathology. American Journal of Clinical Pathology. 157(1). 5–14. 20 indexed citations
12.
Pantanowitz, Liron, et al.. (2020). Challenges Developing Deep Learning Algorithms in Cytology. Acta Cytologica. 65(4). 301–309. 32 indexed citations
13.
Pantanowitz, Liron, Gabriela Quiroga‐Garza, Daphna Laifenfeld, et al.. (2020). An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study. The Lancet Digital Health. 2(8). e407–e416. 210 indexed citations
14.
Pantanowitz, Liron, Pamela Michelow, Scott Hazelhurst, et al.. (2020). A Digital Pathology Solution to Resolve the Tissue Floater Conundrum. Archives of Pathology & Laboratory Medicine. 145(3). 359–364. 7 indexed citations
15.
Firnhaber, Cynthia, et al.. (2018). The relationship between menopausal women infected with the human immunodeficiency virus and cervical atrophy: A cytologic study. Diagnostic Cytopathology. 47(4). 302–306. 1 indexed citations
16.
Rohner, Eliane, Mazvita Sengayi, Pamela Michelow, et al.. (2017). Cervical cancer risk and impact of Pap‐based screening in HIV‐positive women on antiretroviral therapy in Johannesburg, South Africa. International Journal of Cancer. 141(3). 488–496. 18 indexed citations
17.
Michelow, Pamela, et al.. (2017). Challenges and Progress of Policies on Cervical Cancer in South Africa. 5(1). 5 indexed citations
18.
19.
Gilham, Clare, Tanvier Omar, Pamela Michelow, et al.. (2014). Comparison of Analytical and Clinical Performances of the Digene HC2 HPV DNA Assay and the INNO-LiPA HPV Genotyping Assay for Detecting High-Risk HPV Infection and Cervical Neoplasia Among HIV-Positive African Women. JAIDS Journal of Acquired Immune Deficiency Syndromes. 68(2). 162–168. 20 indexed citations
20.

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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