Amy L. Ladd

4.7k total citations
141 papers, 3.3k citations indexed

About

Amy L. Ladd is a scholar working on Surgery, Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Amy L. Ladd has authored 141 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Surgery, 63 papers in Rehabilitation and 27 papers in Orthopedics and Sports Medicine. Recurrent topics in Amy L. Ladd's work include Orthopedic Surgery and Rehabilitation (91 papers), Elbow and Forearm Trauma Treatment (55 papers) and Bone fractures and treatments (19 papers). Amy L. Ladd is often cited by papers focused on Orthopedic Surgery and Rehabilitation (91 papers), Elbow and Forearm Trauma Treatment (55 papers) and Bone fractures and treatments (19 papers). Amy L. Ladd collaborates with scholars based in United States, Sweden and Canada. Amy L. Ladd's co-authors include Elisabet Hagert, Joseph J. Crisco, Arnold‐Peter C. Weiss, Jessica Rose, Nathan B. Pliam, Doron I. Ilan, Jungwha Lee, Douglas C. Moore, Amy Hoang‐Kim and Eni Halilaj and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Amy L. Ladd

134 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy L. Ladd United States 34 2.2k 997 537 514 452 141 3.3k
Jennifer Moriatis Wolf United States 36 3.1k 1.4× 1.2k 1.2× 899 1.7× 425 0.8× 527 1.2× 229 5.7k
Pierre B. Saadeh United States 43 3.0k 1.3× 674 0.7× 760 1.4× 336 0.7× 765 1.7× 192 6.0k
Pedro K. Beredjiklian United States 31 2.8k 1.3× 1.4k 1.4× 932 1.7× 325 0.6× 207 0.5× 270 3.8k
Charles A. Goldfarb United States 40 3.4k 1.5× 1.2k 1.2× 908 1.7× 489 1.0× 145 0.3× 227 4.4k
Laith M. Jazrawi United States 41 4.7k 2.1× 400 0.4× 1.9k 3.5× 490 1.0× 545 1.2× 316 5.8k
Roy A. Meals United States 26 2.0k 0.9× 734 0.7× 611 1.1× 747 1.5× 97 0.2× 127 2.9k
Moshe Kon Netherlands 36 2.7k 1.2× 544 0.5× 253 0.5× 226 0.4× 315 0.7× 202 4.8k
Goo Hyun Baek South Korea 35 3.5k 1.6× 1.2k 1.2× 999 1.9× 417 0.8× 223 0.5× 271 4.4k
A. Noelle Larson United States 35 3.2k 1.5× 630 0.6× 427 0.8× 275 0.5× 288 0.6× 232 4.3k
Arnold‐Peter C. Weiss United States 38 3.3k 1.5× 1.7k 1.7× 555 1.0× 720 1.4× 158 0.3× 152 3.8k

Countries citing papers authored by Amy L. Ladd

Since Specialization
Citations

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

Fields of papers citing papers by Amy L. Ladd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy L. Ladd

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Ladd. A scholar is included among the top collaborators of Amy L. Ladd 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 Amy L. Ladd. Amy L. Ladd 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.
2.
Dinh, Huy Truong, et al.. (2025). Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture. Sensors. 25(15). 4633–4633. 1 indexed citations
3.
O’Mara, Alana, et al.. (2024). Opportunistic hand radiographs to screen for low forearm bone mineral density: a prospective and retrospective cohort study. BMC Musculoskeletal Disorders. 25(1). 159–159. 4 indexed citations
4.
Koltsov, Jayme, et al.. (2023). Validation of Inertial Measurement Units for Analyzing Golf Swing Rotational Biomechanics. Sensors. 23(20). 8433–8433. 1 indexed citations
5.
Niekerk, Maike van, Joanne Zhou, Amy L. Ladd, et al.. (2023). Strengthening the Pipeline. Clinics in Sports Medicine. 43(2). 253–270.
6.
Morton, Amy M., Douglas C. Moore, Amy L. Ladd, et al.. (2023). Dorsal Subluxation of the First Metacarpal During Thumb Flexion is an Indicator of Carpometacarpal Osteoarthritis Progression. Clinical Orthopaedics and Related Research. 481(6). 1224–1237. 4 indexed citations
7.
Chou, Loretta B., Lauren M. Shapiro, Lisa K. Cannada, et al.. (2022). Increased Prevalence of Breast and All-cause Cancer in Female Orthopaedic Surgeons. JAAOS Global Research and Reviews. 6(5). 28 indexed citations
8.
Kenney, Deborah, et al.. (2022). The biomechanics of osteoarthritis in the hand: Implications and prospects for hand therapy. Journal of Hand Therapy. 35(3). 367–376. 3 indexed citations
9.
Moore, Douglas C., et al.. (2022). Evaluation of the PROMIS Upper Extremity Against Validated Patient-Reported Outcomes in Patients With Early Carpometacarpal Osteoarthritis. The Journal Of Hand Surgery. 47(7). 621–628. 4 indexed citations
10.
Behn, Anthony W., et al.. (2020). Rotational Stability of Scaphoid Waist Nonunion Bone Graft and Fixation Techniques. The Journal Of Hand Surgery. 45(9). 841–849.e1. 3 indexed citations
11.
Crisco, Joseph J., et al.. (2019). Osteophyte growth in early thumb carpometacarpal osteoarthritis. Osteoarthritis and Cartilage. 27(9). 1315–1323. 22 indexed citations
12.
Schneider, M., Zhang Ju, Cameron Walker, et al.. (2018). Early morphologic changes in trapeziometacarpal joint bones with osteoarthritis. Osteoarthritis and Cartilage. 26(10). 1338–1344. 13 indexed citations
13.
Schreiber, Joseph J., Eni Halilaj, Joseph J. Crisco, et al.. (2017). Changes in Local Bone Density in Early Thumb Carpometacarpal Joint Osteoarthritis. The Journal Of Hand Surgery. 43(1). 33–38. 14 indexed citations
14.
Waljee, Jennifer F., Amy L. Ladd, Joy C. MacDermid, et al.. (2016). A Unified Approach to Outcomes Assessment for Distal Radius Fractures. The Journal Of Hand Surgery. 41(4). 565–573. 34 indexed citations
15.
Park, Min Jung, Kristen N. Ganjoo, & Amy L. Ladd. (2015). Denosumab, a Potential Alternative to the Surgical Treatment of Distal Radius Giant Cell Tumor of Bone: Case Report. The Journal Of Hand Surgery. 40(8). 1620–1624. 11 indexed citations
16.
Halilaj, Eni, Douglas C. Moore, Tarpit K. Patel, et al.. (2015). Early osteoarthritis of the trapeziometacarpal joint is not associated with joint instability during typical isometric loading. Journal of Orthopaedic Research®. 33(11). 1639–1645. 25 indexed citations
17.
Halilaj, Eni, Michael J. Rainbow, Douglas C. Moore, et al.. (2015). In vivo recruitment patterns in the anterior oblique and dorsoradial ligaments of the first carpometacarpal joint. Journal of Biomechanics. 48(10). 1893–1898. 29 indexed citations
18.
Hagert, Elisabet, Julia Lee, & Amy L. Ladd. (2012). Innervation Patterns of Thumb Trapeziometacarpal Joint Ligaments. The Journal Of Hand Surgery. 37(4). 706–714.e1. 60 indexed citations
19.
Meister, David, et al.. (2006). KINEMATIC AND KINETIC ANALYSIS OF THE ELITE GOLF SWING. ISBS - Conference Proceedings Archive. 1(1). 3 indexed citations
20.
Ladd, Amy L., et al.. (1996). Surgical treatment and postoperative splinting of recessive dystrophic epidermolysis bullosa. The Journal Of Hand Surgery. 21(5). 888–897. 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.

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