Daniel Nissman

1.5k total citations
54 papers, 1.1k citations indexed

About

Daniel Nissman is a scholar working on Surgery, Rheumatology and Biomedical Engineering. According to data from OpenAlex, Daniel Nissman has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 22 papers in Rheumatology and 21 papers in Biomedical Engineering. Recurrent topics in Daniel Nissman's work include Knee injuries and reconstruction techniques (21 papers), Osteoarthritis Treatment and Mechanisms (21 papers) and Total Knee Arthroplasty Outcomes (18 papers). Daniel Nissman is often cited by papers focused on Knee injuries and reconstruction techniques (21 papers), Osteoarthritis Treatment and Mechanisms (21 papers) and Total Knee Arthroplasty Outcomes (18 papers). Daniel Nissman collaborates with scholars based in United States, Austria and Italy. Daniel Nissman's co-authors include Gerald Gartlehner, Richard A. Hansen, Kathleen N Lohr, Timothy S. Carey, Brian Pietrosimone, Matthew S. Harkey, J. Troy Blackburn, Jeffrey T. Spang, Randy J. Schmitz and Steven J. Pfeiffer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Journal of Clinical Epidemiology.

In The Last Decade

Daniel Nissman

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Nissman United States 18 502 316 259 246 88 54 1.1k
Megan K. Mills United States 16 317 0.6× 84 0.3× 55 0.2× 192 0.8× 75 0.9× 73 1.1k
Victor H. Hernandez United States 19 829 1.7× 69 0.2× 78 0.3× 43 0.2× 41 0.5× 80 1.3k
R Mackenzie United Kingdom 17 290 0.6× 53 0.2× 52 0.2× 62 0.3× 154 1.8× 39 868
Irfan M. Asif United States 25 163 0.3× 99 0.3× 41 0.2× 849 3.5× 178 2.0× 95 2.6k
Diana C. Sanchez‐Ramirez Canada 15 163 0.3× 119 0.4× 239 0.9× 34 0.1× 15 0.2× 42 996
Andrew Gregory United States 17 511 1.0× 119 0.4× 120 0.5× 1.0k 4.1× 35 0.4× 35 1.8k
Leila Ledbetter United States 21 872 1.7× 175 0.6× 51 0.2× 435 1.8× 13 0.1× 84 1.6k
Sandra E. Klein United States 21 967 1.9× 230 0.7× 37 0.1× 868 3.5× 74 0.8× 60 1.6k
Pedro Saramago United Kingdom 19 258 0.5× 109 0.3× 25 0.1× 195 0.8× 12 0.1× 76 972
Teun Teunis United States 24 1.3k 2.6× 50 0.2× 121 0.5× 178 0.7× 71 0.8× 106 2.0k

Countries citing papers authored by Daniel Nissman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nissman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nissman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nissman. A scholar is included among the top collaborators of Daniel Nissman 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 Daniel Nissman. Daniel Nissman 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.
Huang, Chao, Zhenlin Xu, Zhengyang Shen, et al.. (2022). DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Analysis. 77. 102343–102343. 9 indexed citations
2.
Lisee, Caroline, Jeffrey T. Spang, Richard F. Loeser, et al.. (2021). Tibiofemoral articular cartilage composition differs based on serum biochemical profiles following anterior cruciate ligament reconstruction. Osteoarthritis and Cartilage. 29(12). 1732–1740. 15 indexed citations
3.
Boling, Michelle C., Steven J. Pfeiffer, Kyle Wallace, et al.. (2021). In Vivo Compositional Changes in the Articular Cartilage of the Patellofemoral Joint Following Anterior Cruciate Ligament Reconstruction. Arthritis Care & Research. 74(7). 1172–1178. 4 indexed citations
4.
Lisee, Caroline, David S. Lalush, Daniel Nissman, et al.. (2021). Higher 12-month t1rho relaxation times associate with lower external knee adduction moment during walking in anterior cruciate ligament reconstruction patients. Osteoarthritis and Cartilage. 29. S183–S184. 1 indexed citations
5.
Song, Kyeongtak, Brian G. Pietrosimone, Daniel Nissman, & Erik A. Wikstrom. (2020). Ultrasonographic Measures of Talar Cartilage Thickness Associate with Magnetic Resonance-Based Measures of Talar Cartilage Volume. Ultrasound in Medicine & Biology. 46(3). 575–581. 9 indexed citations
6.
7.
Piechowiak, Rachel, et al.. (2018). Current Concepts and Future Directions of Minimally Invasive Treatment for Knee Pain. Current Rheumatology Reports. 20(9). 54–54. 27 indexed citations
8.
Cj, Schwartz, et al.. (2018). Enhancement of Musculoskeletal Radiology Resident Education with the Use of an Individual Smart Portable Ultrasound Device (iSPUD). Academic Radiology. 25(12). 1659–1666. 8 indexed citations
9.
Pfeiffer, Steven J., Jeffrey T. Spang, Daniel Nissman, et al.. (2018). Gait Mechanics and T1ρ MRI of Tibiofemoral Cartilage 6 Months after ACL Reconstruction. Medicine & Science in Sports & Exercise. 51(4). 630–639. 85 indexed citations
10.
Pietrosimone, Brian, Steven J. Pfeiffer, Matthew S. Harkey, et al.. (2018). Quadriceps weakness associates with greater T1ρ relaxation time in the medial femoral articular cartilage 6 months following anterior cruciate ligament reconstruction. Knee Surgery Sports Traumatology Arthroscopy. 27(8). 2632–2642. 44 indexed citations
11.
Wei, Hongjiang, Russell Dibb, Kyle Decker, et al.. (2017). Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magnetic Resonance in Medicine. 78(5). 1933–1943. 50 indexed citations
12.
Luc‐Harkey, Brittney A., Matthew S. Harkey, Eric D. Ryan, et al.. (2017). Quadriceps rate of torque development predicts disability in individuals with tibiofemoral knee osteoarthritis. Osteoarthritis and Cartilage. 25. S364–S365. 1 indexed citations
13.
Harkey, Matthew S., et al.. (2017). Ultrasonographic assessment of medial femoral cartilage deformation acutely following walking and running. Osteoarthritis and Cartilage. 25(6). 907–913. 56 indexed citations
14.
Harkey, Matthew S., et al.. (2017). The association between habitual walking speed and medial femoral cartilage deformation following 30 minutes of walking. Gait & Posture. 59. 128–133. 15 indexed citations
15.
16.
Nissman, Daniel, et al.. (2011). Necrotizing Fasciitis after Cesarean Delivery. Anesthesiology. 115(6). 1301–1301. 3 indexed citations
17.
Gartlehner, Gerald, Richard A. Hansen, Daniel Nissman, Kathleen N Lohr, & Timothy S. Carey. (2006). A simple and valid tool distinguished efficacy from effectiveness studies. Journal of Clinical Epidemiology. 59(10). 1040–1048. 173 indexed citations
18.
Kizakevich, Paul N., et al.. (1993). Comparative measures of systolic ejection during treadmill exercise by impedance cardiography and Doppler echocardiography. Biological Psychology. 36(1-2). 51–61. 14 indexed citations
19.
Snyder, Wesley E., Daniel Nissman, D.E. Van den Bout, & Griff L. Bilbro. (1990). Kohonen Networks and Clustering.. Neural Information Processing Systems. 984–990. 1 indexed citations
20.
Snyder, Wesley E., et al.. (1990). Kohonen Networks and Clustering: Comparative Performance in Color Clustering. Neural Information Processing Systems. 3. 984–990. 3 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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