Eric B. Durbin

2.8k total citations · 1 hit paper
73 papers, 1.4k citations indexed

About

Eric B. Durbin is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Eric B. Durbin has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 22 papers in Artificial Intelligence and 16 papers in Molecular Biology. Recurrent topics in Eric B. Durbin's work include Topic Modeling (12 papers), Global Cancer Incidence and Screening (11 papers) and Biomedical Text Mining and Ontologies (11 papers). Eric B. Durbin is often cited by papers focused on Topic Modeling (12 papers), Global Cancer Incidence and Screening (11 papers) and Biomedical Text Mining and Ontologies (11 papers). Eric B. Durbin collaborates with scholars based in United States, India and Poland. Eric B. Durbin's co-authors include David T. Ng, Bin Huang, Georgia D. Tourassi, Xiao‐Cheng Wu, Linda Coyle, Shang Gao, Michael A. Salinger, Hong‐Jun Yoon, T. C. Tucker and John L. Villano and has published in prestigious journals such as Blood, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Eric B. Durbin

67 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Counts, incidence rates, and trends of pediatric cancer in the United States, 2003-2019

2023 66 citations David A. Siegel, Jessica King et al. JNCI Journal of the National Cancer Institute profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric B. Durbin United States	21	330	303	273	251	135	73	1.4k
Jae Won Lee South Korea	20	426 1.3×	170 0.6×	574 2.1×	107 0.4×	33 0.2×	88	1.9k
Gennaro Ilardi Italy	25	402 1.2×	57 0.2×	739 2.7×	173 0.7×	49 0.4×	77	1.7k
Christian Bayer Germany	19	380 1.2×	138 0.5×	303 1.1×	211 0.8×	391 2.9×	72	1.5k
Christian Haas Germany	25	90 0.3×	225 0.7×	305 1.1×	106 0.4×	20 0.1×	122	1.9k
Miguél Vázquez Spain	20	169 0.5×	232 0.8×	1.0k 3.8×	81 0.3×	18 0.1×	65	1.9k
Chi‐Cheng Huang Taiwan	21	258 0.8×	92 0.3×	345 1.3×	165 0.7×	15 0.1×	102	1.6k
Chi Heem Wong United States	9	198 0.6×	58 0.2×	323 1.2×	51 0.2×	34 0.3×	21	1.2k
Andrej Yu. Yakovlev United States	20	222 0.7×	320 1.1×	281 1.0×	103 0.4×	10 0.1×	69	1.5k
Kien Wei Siah United States	10	196 0.6×	53 0.2×	309 1.1×	53 0.2×	38 0.3×	20	1.2k

Countries citing papers authored by Eric B. Durbin

Since Specialization

Citations

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

Fields of papers citing papers by Eric B. Durbin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric B. Durbin. 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 Eric B. Durbin. The network helps show where Eric B. Durbin may publish in the future.

Co-authorship network of co-authors of Eric B. Durbin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Walker, B., Kathleen L. O’Connor, Eric B. Durbin, et al.. (2025). The Role of Race/Ethnicity on the Association between Neighborhood Deprivation and Breast Cancer Outcomes among Kentucky Patients with Breast Cancer (2010–2022). Cancer Epidemiology Biomarkers & Prevention. 34(4). 474–482.

Siegel, David A., Christine M. Kava, Logan G. Spector, et al.. (2025). Pediatric and Young Adult Cancer Incidence in the United States During the COVID‐19 Pandemic. Pediatric Blood & Cancer. 72(11). e31976–e31976.

Yu, Peter Paul, W. Scott Campbell, Eric B. Durbin, Lawrence N. Shulman, & Jeremy L. Warner. (2025). Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond”. JCO Clinical Cancer Informatics. 9(9). e2500098–e2500098.

Siegel, David A., Eric B. Durbin, Brad H. Pollock, et al.. (2024). Population-Based Data Linkage Describing Patterns of Cancer Clinical Trial Enrollment Among Children and Adolescents. JCO Oncology Practice. 20(5). 631–642.

Di, Jing, et al.. (2024). Prognostic Significance and Treatment Response Associations of Genetic Mutations in Chronic Myelomonocytic Leukemia: A Retrospective Cohort Study. Biomedicines. 12(11). 2476–2476. 1 indexed citations

Chen, Quan, Bin Huang, Abigail Anderson, et al.. (2023). Association of first primary cancer with risk of subsequent primary cancer among survivors of adult-onset cancers in Kentucky and Appalachian Kentucky. Frontiers in Oncology. 13. 1193487–1193487. 3 indexed citations

Siegel, David A., Jessica King, Philip J. Lupo, et al.. (2023). Counts, incidence rates, and trends of pediatric cancer in the United States, 2003-2019. JNCI Journal of the National Cancer Institute. 115(11). 1337–1354. 66 indexed citations breakdown →

Danciu, Ioana, Hong‐Jun Yoon, Jamaludin Mohd‐Yusof, et al.. (2023). Deep learning uncertainty quantification for clinical text classification. Journal of Biomedical Informatics. 149. 104576–104576. 3 indexed citations

Hochheiser, Harry, Sean Finan, Zhou Yuan, et al.. (2023). DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction. JCO Clinical Cancer Informatics. 7(7). e2300156–e2300156. 1 indexed citations

10.

Lei, Feitong, Robin C. Vanderpool, Laurie E. McLouth, et al.. (2023). Influence of depression on breast cancer treatment and survival: A Kentucky population‐based study. Cancer. 129(12). 1821–1835. 15 indexed citations

11.

Huang, Bin, Quan Chen, Derek B. Allison, et al.. (2021). Molecular Tumor Board Review and Improved Overall Survival in Non–Small-Cell Lung Cancer. JCO Precision Oncology. 5(5). 1530–1539. 18 indexed citations

12.

Gao, Shang, Ioana Danciu, Eric B. Durbin, et al.. (2021). Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. Journal of Biomedical Informatics. 125. 103957–103957. 37 indexed citations

13.

Klasky, Hilda, John Gounley, Mohammed Alawad, et al.. (2020). Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. Journal of Biomedical Informatics. 110. 103564–103564. 10 indexed citations

14.

Alawad, Mohammed, Hong‐Jun Yoon, Shang Gao, et al.. (2020). Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Transactions on Emerging Topics in Computing. 9(3). 1219–1230. 31 indexed citations

15.

Alawad, Mohammed, Shang Gao, John X. Qiu, et al.. (2019). Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. PubMed. 2019. 1–4. 15 indexed citations

16.

Unrine, Jason M., Stacey Slone, Wayne T. Sanderson, et al.. (2019). A case-control study of trace-element status and lung cancer in Appalachian Kentucky. PLoS ONE. 14(2). e0212340–e0212340. 19 indexed citations

17.

Rios, Anthony, et al.. (2019). Cross-registry neural domain adaptation to extract mutational test results from pathology reports. Journal of Biomedical Informatics. 97. 103267–103267. 5 indexed citations

18.

Martin, Jeremiah T., Eric B. Durbin, Li Chen, et al.. (2015). Nodal Upstaging During Lung Cancer Resection Is Associated With Surgical Approach. The Annals of Thoracic Surgery. 101(1). 238–245. 43 indexed citations

19.

Chen, Lujia, Zoya Voronovich, Michael Walsh, et al.. (2014). Predicting the likelihood of an isocitrate dehydrogenase 1 or 2 mutation in diagnoses of infiltrative glioma. Neuro-Oncology. 16(11). 1478–1483. 62 indexed citations

20.

Durbin, Eric B.. (2000). McDonald's or the Michelin Guide? Revealing Quality Through Private-Sector Certification. RePEc: Research Papers in Economics. 5 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.

Explore authors with similar magnitude of impact