Kaitlin E. Sundling

483 total citations
28 papers, 300 citations indexed

About

Kaitlin E. Sundling is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Kaitlin E. Sundling has authored 28 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Kaitlin E. Sundling's work include AI in cancer detection (6 papers), Cervical Cancer and HPV Research (5 papers) and Cancer Genomics and Diagnostics (4 papers). Kaitlin E. Sundling is often cited by papers focused on AI in cancer detection (6 papers), Cervical Cancer and HPV Research (5 papers) and Cancer Genomics and Diagnostics (4 papers). Kaitlin E. Sundling collaborates with scholars based in United States, Portugal and South Africa. Kaitlin E. Sundling's co-authors include Edmund S. Cibas, Alarice Lowe, Daniel Kurtycz, David A. Brow, Xin Chen, David Kim, Liron Pantanowitz, Susan Alperstein, Maureen F. Zakowski and Renu K. Virk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and Journal of Investigative Dermatology.

In The Last Decade

Kaitlin E. Sundling

26 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaitlin E. Sundling United States	12	79	79	60	58	48	28	300
Saba Shafi United States	10	135 1.7×	123 1.6×	60 1.0×	126 2.2×	34 0.7×	42	387
Shumpei Ishikawa Japan	7	52 0.7×	69 0.9×	129 2.1×	62 1.1×	24 0.5×	23	289
Bingyi Yang China	15	75 0.9×	20 0.3×	102 1.7×	63 1.1×	44 0.9×	32	575
Xinya Zhao China	8	79 1.0×	37 0.5×	47 0.8×	63 1.1×	51 1.1×	32	259
Jieun Koh South Korea	13	64 0.8×	70 0.9×	27 0.5×	189 3.3×	17 0.4×	25	394
Qiong Liang China	8	57 0.7×	25 0.3×	48 0.8×	39 0.7×	29 0.6×	20	201
Jacqueline Siok Gek Hwang Singapore	11	148 1.9×	44 0.6×	107 1.8×	35 0.6×	36 0.8×	25	405
Haoyu Ren China	12	74 0.9×	32 0.4×	104 1.7×	121 2.1×	39 0.8×	26	457
Peiling Tsou United States	5	156 2.0×	31 0.4×	106 1.8×	53 0.9×	25 0.5×	6	340
Íris Sawazaki‐Calone Brazil	12	159 2.0×	90 1.1×	133 2.2×	115 2.0×	12 0.3×	14	509

Countries citing papers authored by Kaitlin E. Sundling

Since Specialization

Citations

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

Fields of papers citing papers by Kaitlin E. Sundling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlin E. Sundling

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

All Works

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20 of 20 papers shown

Roy‐Chowdhuri, Sinchita, Christine N. Booth, Jonas J. Heymann, et al.. (2025). Optimizing cytology and small biopsy specimen processing for ancillary studies: recommendations from the American Society of Cytopathology taskforce. Journal of the American Society of Cytopathology. 14(5). 285–308.

Heymann, Jonas J., Cristiana M. Pineda, Joshua Menke, et al.. (2024). Tools, techniques, and challenges in preparing cytology specimens for ancillary studies: results of the ASC Optimizing Cytology and Small Biopsy Specimen Processing for Ancillary Studies task force survey. Journal of the American Society of Cytopathology. 14(1). 55–63. 1 indexed citations

Sundling, Kaitlin E., et al.. (2024). Live-cell analysis of IMPDH protein levels during yeast colony growth provides insights into the regulation of GTP synthesis. mBio. 15(8). e0102124–e0102124. 1 indexed citations

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

Sharma, Kusum, Kaitlin E. Sundling, Ranran Zhang, & Kristina A. Matkowskyj. (2024). Pathologic Features of Primary Colon, Rectal, and Anal Malignancies. Cancer treatment and research. 192. 233–263.

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

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

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

Goyal, Abha, Christine N. Booth, Rhona J. Souers, et al.. (2023). Navigating Practice Issues Related to the Unsatisfactory Cervicovaginal Papanicolaou Test: Survey Results of Laboratories Participating in the 2020 College of American Pathologists PAP Education Program. Archives of Pathology & Laboratory Medicine. 148(1). 48–54. 2 indexed citations

10.

Witt, Benjamin L., Wenhua Zhou, Abiy B. Ambaye, et al.. (2022). Using American Type Culture Collection Cell Lines to Evaluate Interlaboratory Variables for Estrogen Receptor and Human Epidermal Growth Factor Receptor 2 Immunostaining. Archives of Pathology & Laboratory Medicine. 147(2). 143–148. 1 indexed citations

11.

Schehr, Jennifer L., Nan Sethakorn, Anupama Singh, et al.. (2022). Analytical validation and initial clinical testing of quantitative microscopic evaluation for PD-L1 and HLA I expression on circulating tumor cells from patients with non-small cell lung cancer. Biomarker Research. 10(1). 26–26. 4 indexed citations

12.

Sundling, Kaitlin E., et al.. (2021). Developing dashboards for performance improvement in cytopathology. Journal of the American Society of Cytopathology. 10(6). 535–542. 11 indexed citations

13.

Shafer, Martin M., Chen Zhang, James J. Schauer, et al.. (2020). Environmental chemical exposures in the urine of dogs and people sharing the same households. SHILAP Revista de lepidopterología. 5(1). e54–e54. 12 indexed citations

14.

Kurtycz, Daniel, Kaitlin E. Sundling, & Güliz A. Barkan. (2020). The Paris system of Reporting Urinary Cytology: Strengths and opportunities. Diagnostic Cytopathology. 48(10). 890–895. 11 indexed citations

15.

Kurtycz, Daniel, Jennifer Brainard, Donna Russell, et al.. (2018). Current Use of Whole Slide Imaging and Telecytology in Cytopathology 2018: A Survey from the College of American Pathologists (CAP) Cytopathology Committee. Journal of the American Society of Cytopathology. 7(5). S81–S82. 2 indexed citations

16.

Sundling, Kaitlin E., et al.. (2017). Refinement of Convolutional Neural Networks for Urine Cytology Prescreening. Journal of the American Society of Cytopathology. 6(5). S65–S65. 2 indexed citations

17.

Xu, Jin, Heather Hardin, Ranran Zhang, et al.. (2016). Stage-Specific Embryonic Antigen-1 (SSEA-1) Expression in Thyroid Tissues. Endocrine Pathology. 27(4). 271–275. 12 indexed citations

18.

Sundling, Kaitlin E., Gheorghe Crăciun, Irvin R. Schultz, et al.. (2014). Modeling the endocrine control of vitellogenin production in female rainbow trout. Mathematical Biosciences & Engineering. 11(3). 621–639. 11 indexed citations

19.

Aziz, Moammir Hasan, Kaitlin E. Sundling, Nancy E. Dreckschmidt, & Ajit Kumar Verma. (2009). Protein Kinase Cε Inhibits UVR-Induced Expression of FADD, an Adaptor Protein, Linked to both Fas- and TNFR1-Mediated Apoptosis. Journal of Investigative Dermatology. 129(8). 2011–2021. 9 indexed citations

20.

Liu, Yushi, Joseph S. Verducci, Irvin R. Schultz, et al.. (2009). Time course analysis of microarray data for the pathway of reproductive development in female rainbow trout. Statistical Analysis and Data Mining The ASA Data Science Journal. 2(3). 192–208. 3 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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