William J. Long

5.4k total citations
215 papers, 3.6k citations indexed

About

William J. Long is a scholar working on Surgery, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, William J. Long has authored 215 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Surgery, 29 papers in Artificial Intelligence and 21 papers in Public Health, Environmental and Occupational Health. Recurrent topics in William J. Long's work include Total Knee Arthroplasty Outcomes (80 papers), Orthopaedic implants and arthroplasty (71 papers) and Orthopedic Infections and Treatments (58 papers). William J. Long is often cited by papers focused on Total Knee Arthroplasty Outcomes (80 papers), Orthopaedic implants and arthroplasty (71 papers) and Orthopedic Infections and Treatments (58 papers). William J. Long collaborates with scholars based in United States, United Kingdom and Canada. William J. Long's co-authors include Ran Schwarzkopf, Giles R. Scuderi, Peter Brecke, Peter Szolovits, Jonathan M. Vigdorchik, Richard Iorio, Andrew Reisner, Roger G. Mark, G.B. Moody and Li-wei H. Lehman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

William J. Long

204 papers receiving 3.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William J. Long 1.7k 669 392 276 252 215 3.6k
Amy S. Nowacki 1.1k 0.7× 156 0.2× 390 1.0× 641 2.3× 302 1.2× 171 4.5k
Leslie Lenert 205 0.1× 296 0.4× 233 0.6× 126 0.5× 616 2.4× 181 4.2k
Alastair K. Denniston 289 0.2× 917 1.4× 331 0.8× 95 0.3× 625 2.5× 221 6.6k
Yolanda Barrón 296 0.2× 86 0.1× 369 0.9× 238 0.9× 468 1.9× 85 3.5k
Charlotte Haug 195 0.1× 128 0.2× 141 0.4× 186 0.7× 234 0.9× 71 2.3k
Vincenzo Giordano 966 0.6× 110 0.2× 337 0.9× 59 0.2× 124 0.5× 235 3.1k
Jens Gottlieb 3.6k 2.2× 250 0.4× 470 1.2× 506 1.8× 238 0.9× 290 7.3k
Michael F. Chiang 403 0.2× 539 0.8× 609 1.6× 82 0.3× 645 2.6× 348 9.3k
Rachael Fleurence 475 0.3× 131 0.2× 259 0.7× 155 0.6× 356 1.4× 50 3.2k
Genevieve B. Melton 2.1k 1.3× 1.1k 1.7× 1.1k 2.7× 240 0.9× 500 2.0× 239 5.5k

Countries citing papers authored by William J. Long

Since Specialization
Citations

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

Fields of papers citing papers by William J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Long. 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 William J. Long. The network helps show where William J. Long may publish in the future.

Co-authorship network of co-authors of William J. Long

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Long. A scholar is included among the top collaborators of William J. Long 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 William J. Long. William J. Long 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.
Long, William J., Liang Zhao, Xinyi Yang, et al.. (2025). Genome-Wide Characterization of Wholly Disordered Proteins in Arabidopsis. International Journal of Molecular Sciences. 26(3). 1117–1117. 1 indexed citations
2.
Wang, Doudou, et al.. (2025). Cytosolic and Nucleosolic Calcium-Regulated Long Non-Coding RNAs and Their Target Protein-Coding Genes in Response to Hyperosmolarity and Salt Stresses in Arabidopsis thaliana. International Journal of Molecular Sciences. 26(5). 2086–2086. 1 indexed citations
3.
Lavoie-Gagné, Ophélie, et al.. (2023). Exposure to Extended Reality and Artificial Intelligence-Based Manifestations: A Primer on the Future of Hip and Knee Arthroplasty. The Journal of Arthroplasty. 38(10). 2096–2104. 13 indexed citations
4.
Cushner, Fred D., Peter K. Sculco, & William J. Long. (2022). The Talking Knee Is a Reality: What Your Knee Can Tell You After Total Knee Arthroplasty. 3(1). 4 indexed citations
5.
Mahure, Siddharth A., et al.. (2022). The Effects of Patient Point of Entry and Medicaid Status on Postoperative Opioid Consumption and Pain After Primary Total Hip Arthroplasty. Journal of the American Academy of Orthopaedic Surgeons. 30(14). e998–e1004. 2 indexed citations
6.
Feng, James E., et al.. (2021). Adductor Canal Blocks Reduce Inpatient Opioid Consumption While Maintaining Noninferior Pain Control and Functional Outcomes After Total Knee Arthroplasty. The Journal of Arthroplasty. 36(6). 1980–1986. 7 indexed citations
7.
Kugelman, David N., Siddharth A. Mahure, James E. Feng, et al.. (2021). Total knee arthroplasty is associated with greater immediate post-surgical pain and opioid use than total hip arthroplasty. Archives of Orthopaedic and Trauma Surgery. 142(12). 3575–3580. 18 indexed citations
8.
Feng, James E., Siddharth A. Mahure, Daniel Waren, et al.. (2021). Discontinuation of the liposomal delivery of bupivacaine has no effect on pain management after primary total knee arthroplasty. The Bone & Joint Journal. 103-B(6 Supple A). 102–107. 1 indexed citations
9.
10.
Feng, James E., Siddharth A. Mahure, Daniel Waren, et al.. (2020). Utilization of a Novel Opioid-Sparing Protocol in Primary Total Hip Arthroplasty Results in Reduced Opiate Consumption and Improved Functional Status. The Journal of Arthroplasty. 35(6). S231–S236. 20 indexed citations
11.
Chen, Kevin, et al.. (2019). Preoperative Chronic Opioid Use and Its Effects on Total Knee Arthroplasty Outcomes. The Journal of Knee Surgery. 33(3). 306–313. 22 indexed citations
12.
Eftekhary, Nima, Nicholas Shepard, Daniel H. Wiznia, et al.. (2018). Metal Hypersensitivity in Total Joint Arthroplasty. JBJS Reviews. 6(12). e1–e1. 12 indexed citations
13.
Long, William J.. (2006). Assessing Engagement: Why America’s Incentive Strategy toward North Korea “Worked” and Could Work Again. 15(2). 1–20. 1 indexed citations
14.
Fraser, Hamish & William J. Long. (1999). CompareDx: a Software Toolkit for Measuring the Performance of Programs that Generate Multiple Diagnoses.. PubMed Central. 1060–1060. 1 indexed citations
15.
Fraser, Hamish, William J. Long, & Shapur Naimi. (1997). Comparing Complex Diagnoses: A Formative Evaluation of the Heart Disease Program.. Europe PMC (PubMed Central). 853–853. 2 indexed citations
16.
Long, William J.. (1991). Economic Incentives and International Cooperation: Technology Transfer to the People's Republic of China, 1978-86. Journal of Peace Research. 28(2). 175–189. 3 indexed citations
17.
18.
Long, William J.. (1988). The U.S. - Japan Semiconductor Dispute: Implications for U.S. Trade Policy. 13(1). 1. 1 indexed citations
19.
Long, William J. & Thomas A. Russ. (1983). A control structure for time dependent reasoning. International Joint Conference on Artificial Intelligence. 230–232. 15 indexed citations
20.
Long, William J.. (1983). Reasoning about state from causation and time in a medical domain. National Conference on Artificial Intelligence. 251–254. 27 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

Breakdown of academic impact, for papers by Amy S. Nowacki Breakdown of academic impact, for papers by Leslie Lenert Breakdown of academic impact, for papers by Alastair K. Denniston Breakdown of academic impact, for papers by Yolanda Barrón Breakdown of academic impact, for papers by Charlotte Haug Breakdown of academic impact, for papers by Vincenzo Giordano Breakdown of academic impact, for papers by Jens Gottlieb Breakdown of academic impact, for papers by Michael F. Chiang Breakdown of academic impact, for papers by Rachael Fleurence Breakdown of academic impact, for papers by Genevieve B. Melton
Rankless by CCL
2026