Harry Burke

3.8k total citations · 1 hit paper
55 papers, 2.5k citations indexed

About

Harry Burke is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Harry Burke has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Harry Burke's work include Gene expression and cancer classification (8 papers), AI in cancer detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Harry Burke is often cited by papers focused on Gene expression and cancer classification (8 papers), AI in cancer detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Harry Burke collaborates with scholars based in United States, Canada and Finland. Harry Burke's co-authors include David G. Bostwick, Rodolfo Montironi, Thomas M. Wheeler, T G Pretlow, Robert Bookstein, Raymond B. Nagle, L W Chung, Robert W. Veltri, Michael M. Lieber and David J. Waters and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Harry Burke

53 papers receiving 2.4k 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.

Mesenchymal stem cells in bone development, bone repair, and skeletal regeneration therapy.

1994 704 citations David G. Bostwick, Harry Burke et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harry Burke United States	22	630	455	355	337	298	55	2.5k
Federico Ambrogi Italy	31	582 0.9×	506 1.1×	648 1.8×	227 0.7×	584 2.0×	167	4.8k
Rajesh Dash United States	28	616 1.0×	373 0.8×	365 1.0×	306 0.9×	325 1.1×	93	3.1k
Jun Chen China	27	514 0.8×	619 1.4×	466 1.3×	155 0.5×	321 1.1×	216	2.9k
Abhishek Mahajan India	27	318 0.5×	774 1.7×	421 1.2×	271 0.8×	655 2.2×	281	2.7k
Vipul C. Chitalia United States	30	905 1.4×	271 0.6×	260 0.7×	104 0.3×	330 1.1×	94	2.5k
James C. Boyd United States	38	854 1.4×	688 1.5×	622 1.8×	170 0.5×	576 1.9×	103	4.7k
Gabriele Cevenini Italy	34	712 1.1×	509 1.1×	489 1.4×	96 0.3×	1.1k 3.5×	212	4.0k
Wan Zhu China	22	657 1.0×	295 0.6×	140 0.4×	112 0.3×	257 0.9×	74	2.0k
Mi‐Ok Kim United States	36	1.4k 2.3×	533 1.2×	360 1.0×	278 0.8×	510 1.7×	243	4.8k
Hamid Abdollahi Iran	27	396 0.6×	664 1.5×	323 0.9×	150 0.4×	384 1.3×	93	2.6k

Countries citing papers authored by Harry Burke

Since Specialization

Citations

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

Fields of papers citing papers by Harry Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Harry Burke. A scholar is included among the top collaborators of Harry Burke 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 Harry Burke. Harry Burke 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

Burke, Harry, et al.. (2024). Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study. JMIR Medical Education. 10. e56342–e56342. 7 indexed citations

Carter, Jocelyn & Harry Burke. (2023). An Adaptive Healthcare Organization Can Effectively Respond to Medical Crises. International Journal of Public Health. 68. 1605581–1605581. 3 indexed citations

Burke, Harry. (2022). Gleason 6 prostate cancer: That which cannot be named. Frontiers in Oncology. 12. 1073580–1073580. 1 indexed citations

Carter, Jocelyn & Harry Burke. (2021). CRP-Guided Antibiotic Therapy for Acute COPD Exacerbation: a Randomized Control Trial. Journal of General Internal Medicine. 36(7). 2194–2196. 1 indexed citations

Tice, Jeffrey A., Alexandra Halalau, & Harry Burke. (2020). Vitamin D Does Not Prevent Cancer or Cardiovascular Disease: The VITAL Trial. Journal of General Internal Medicine. 17 indexed citations

Liu, Fang, et al.. (2017). Assessing the usability by clinicians of VISION: A hierarchical display of patient-collected physiological information to clinicians. BMC Medical Informatics and Decision Making. 17(1). 41–41. 5 indexed citations

Buchanan, Grant, et al.. (2017). Trauma Team Activation for Geriatric Trauma at a Level II Trauma Center: Are the Elderly Under-triaged?. SHILAP Revista de lepidopterología. 3(3). 1 indexed citations

Flanagan, M. Casey, et al.. (2016). Electronic physiologic and subjective data acquisition in home-dwelling heart failure patients: An assessment of patient use and perception of usability. International Journal of Medical Informatics. 93. 42–48. 7 indexed citations

Bunt, Christopher, Harry Burke, Alexander J. Towbin, et al.. (2015). Point-of-Care Estimated Radiation Exposure and Imaging Guidelines Can Reduce Pediatric Radiation Burden. The Journal of the American Board of Family Medicine. 28(3). 343–350. 3 indexed citations

10.

Pavlovich, Christian P., Toby C. Cornish, Jeffrey K. Mullins, et al.. (2013). High-resolution transrectal ultrasound: Pilot study of a novel technique for imaging clinically localized prostate cancer. Urologic Oncology Seminars and Original Investigations. 32(1). 34.e27–34.e32. 45 indexed citations

11.

Gimbel, Ronald W., Paul Fontelo, Mark Stephens, et al.. (2013). Radiation Exposure and Cost Influence Physician Medical Image Decision Making. Medical Care. 51(7). 628–632. 22 indexed citations

12.

Bostwick, David G., David J. Waters, Isabelle Meiers, et al.. (2007). Group Consensus Reports from the Consensus Conference on Focal Treatment of Prostatic Carcinoma, Celebration, Florida, February 24, 2006. Urology. 70(6). S42–S44. 58 indexed citations

13.

Chawla, Lakhmir S., et al.. (2005). Identifying critically ill patients at high risk for developing acute renal failure: A pilot study. Kidney International. 68(5). 2274–2280. 68 indexed citations

14.

Cahan, Patrick, Harry Burke, Sidney W. Fu, et al.. (2005). List of lists-annotated (LOLA): A database for annotation and comparison of published microarray gene lists. Gene. 360(1). 78–82. 46 indexed citations

15.

Bostwick, David G., Harry Burke, Daniel Djakiew, et al.. (2004). Human prostate cancer risk factors. Cancer. 101(S10). 2371–2490. 461 indexed citations

16.

Bostwick, David G. & Harry Burke. (2001). Prediction of individual patient outcome in cancer. Cancer. 91(S8). 1643–1646. 25 indexed citations

17.

Marshall, M, et al.. (2001). HbA1c Predicts Length of Stay in Patients Admitted for Coronary Artery Bypass Surgery. PubMed. 3(2). 77–79. 28 indexed citations

18.

Burke, Harry, Albert Hoang, J. Dirk Iglehart, & Jeffrey R. Marks. (1998). Predicting response to adjuvant and radiation therapy in patients with early stage breast carcinoma. Cancer. 82(5). 874–877. 41 indexed citations

19.

Burke, Harry, Philip H. Goodman, David B. Rosen, et al.. (1997). Artificial neural networks improve the accuracy of cancer survival prediction. Cancer. 79(4). 857–862. 274 indexed citations

20.

Burke, Harry, David B. Rosen, & Philip H. Goodman. (1994). Comparing the prediction accuracy of artificial neural networks and other statistical models for breast cancer survival. Neural Information Processing Systems. 7. 1063–1067. 24 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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