Kenneth L. Abbott

624 total citations
26 papers, 309 citations indexed

About

Kenneth L. Abbott is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kenneth L. Abbott has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 10 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kenneth L. Abbott's work include Surgical Simulation and Training (9 papers), Innovations in Medical Education (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Kenneth L. Abbott is often cited by papers focused on Surgical Simulation and Training (9 papers), Innovations in Medical Education (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Kenneth L. Abbott collaborates with scholars based in United States, Australia and Italy. Kenneth L. Abbott's co-authors include Rachel I. Vogel, Timothy K. Starr, Yen-Yi Ho, Juan E. Abrahante, Brian C. George, Tyler J. Loftus, Jeremy A. Balch, Benjamin Shickel, Daniel E. Kendrick and Erkin Ötleş and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Kenneth L. Abbott

24 papers receiving 306 citations

Peers

Kenneth L. Abbott

PHEOH

SURGE

CCM

Arian Mansur United States

Meghan Ramsey United States

Adrienne N. Cobb United States

Kirti Magudia United States

Gwendolyn Clemens United States

Mindy M. Cheng United States

Marc D. Natter United States

Kelly D. Myers United States

Ga‐Hyun Son South Korea

Arian Mansur United States

Kenneth L. Abbott

79 ×1.1

PHEOH

66 ×0.9

SURGE

38 ×0.5

18 ×0.4

27 ×0.8

CCM

Citations per year, relative to Kenneth L. Abbott Kenneth L. Abbott (= 1×) peers Arian Mansur

Countries citing papers authored by Kenneth L. Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth L. Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth L. Abbott. 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 Kenneth L. Abbott. The network helps show where Kenneth L. Abbott may publish in the future.

Co-authorship network of co-authors of Kenneth L. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth L. Abbott. A scholar is included among the top collaborators of Kenneth L. Abbott 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 Kenneth L. Abbott. Kenneth L. Abbott 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

Loftus, Tyler J., Jeremy A. Balch, Kenneth L. Abbott, et al.. (2024). Community-engaged artificial intelligence research: A scoping review. SHILAP Revista de lepidopterología. 3(8). e0000561–e0000561. 8 indexed citations

Loftus, Tyler J., Matthew M. Ruppert, Benjamin Shickel, et al.. (2024). Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery. SHILAP Revista de lepidopterología. 5(2). e429–e429.

Ren, Yuanfang, Yanjun Li, Tyler J. Loftus, et al.. (2024). Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. Scientific Reports. 14(1). 8442–8442. 1 indexed citations

Filiberto, Amanda C., Patrick W. Underwood, Kenneth L. Abbott, et al.. (2023). Surgical resident experience with common bile duct exploration and assessment of performance and autonomy with formative feedback. World Journal of Emergency Surgery. 18(1). 13–13. 2 indexed citations

Filiberto, Amanda C., Kenneth L. Abbott, Benjamin Shickel, et al.. (2023). Resident Operative Autonomy and Attending Verbal Feedback Differ by Resident and Attending Gender. SHILAP Revista de lepidopterología. 4(1). e256–e256. 9 indexed citations

Filiberto, Amanda C., Patrick W. Underwood, Kenneth L. Abbott, et al.. (2022). A simulation curriculum for laparoscopic common bile duct exploration, balloon sphincterotomy, and endobiliary stenting: Associations with resident performance and autonomy in the operating room. Surgery. 173(4). 950–956. 1 indexed citations

Loftus, Tyler J., Benjamin Shickel, Jeremy A. Balch, et al.. (2022). Phenotype clustering in health care: A narrative review for clinicians. Frontiers in Artificial Intelligence. 5. 842306–842306. 54 indexed citations

Abbott, Kenneth L., et al.. (2022). Association Between Perceived Race and Operative Autonomy in General Surgery Residents. JAMA Surgery. 157(9). 848–848. 6 indexed citations

Abbott, Kenneth L., et al.. (2022). Representativeness of Workplace-Based Operative Performance Assessments for Resident Operative Experience. Journal of surgical education. 79(3). 769–774. 5 indexed citations

10.

Abbott, Kenneth L., Monita Karmakar, Andrew C. Chang, et al.. (2021). Transhiatal robot-assisted minimally invasive esophagectomy: unclear benefits compared to traditional transhiatal esophagectomy. Journal of Robotic Surgery. 16(4). 883–891. 4 indexed citations

11.

Abbott, Kenneth L., Brian C. George, Gurjit Sandhu, et al.. (2021). Natural Language Processing to Estimate Clinical Competency Committee Ratings. Journal of surgical education. 78(6). 2046–2051. 15 indexed citations

12.

Abbott, Kenneth L., Gifty Kwakye, Grace J. Kim, et al.. (2021). US general surgical trainee performance for representative global surgery procedures. The American Journal of Surgery. 223(2). 224–228. 4 indexed citations

13.

Chopra, Zoey, Daniel E. Kendrick, Kenneth L. Abbott, et al.. (2021). Natural Language Processing and Assessment of Resident Feedback Quality. Journal of surgical education. 78(6). e72–e77. 32 indexed citations

14.

Abbott, Kenneth L., Andrew E. Krumm, Daniel E. Kendrick, et al.. (2021). Surgical Trainee Performance and Alignment With Surgical Program Director Expectations. Annals of Surgery. 276(6). e1095–e1100. 7 indexed citations

15.

Abbott, Kenneth L., Daniel E. Kendrick, Xilin Chen, et al.. (2020). How Many Attempts Are Needed to Achieve General Surgery Board Certification?. Journal of surgical education. 78(3). 885–888. 3 indexed citations

16.

Dennis, Bradley M., Daniel E. Kendrick, Laura Mazer, et al.. (2020). Knowing Your Team: Rapid Assessment of Residents and Fellows for Effective Horizontal Care Delivery in Emergency Events. Journal of Graduate Medical Education. 12(3). 272–279. 7 indexed citations

17.

Abbott, Kenneth L., Xilin Chen, Michael Clark, et al.. (2019). Number of Operative Performance Ratings Needed to Reliably Assess the Difficulty of Surgical Procedures. Journal of surgical education. 76(6). e189–e192. 7 indexed citations

18.

Erickson, Jennifer, et al.. (2018). Automatic address validation and health record review to identify homeless Social Security disability applicants. Journal of Biomedical Informatics. 82. 41–46. 13 indexed citations

19.

Abbott, Kenneth L., et al.. (2014). The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice. Nucleic Acids Research. 43(D1). D844–D848. 78 indexed citations

20.

Abbott, Kenneth L., et al.. (1995). Combination chemotherapy for disseminated malignant melanoma. Anti-Cancer Drugs. 6(4). 489–497. 8 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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