Kenneth A. Weber

2.3k total citations
110 papers, 1.3k citations indexed

About

Kenneth A. Weber is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Kenneth A. Weber has authored 110 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Surgery, 45 papers in Pathology and Forensic Medicine and 30 papers in Pharmacology. Recurrent topics in Kenneth A. Weber's work include Musculoskeletal pain and rehabilitation (27 papers), Spine and Intervertebral Disc Pathology (25 papers) and Spinal Cord Injury Research (21 papers). Kenneth A. Weber is often cited by papers focused on Musculoskeletal pain and rehabilitation (27 papers), Spine and Intervertebral Disc Pathology (25 papers) and Spinal Cord Injury Research (21 papers). Kenneth A. Weber collaborates with scholars based in United States, Australia and Netherlands. Kenneth A. Weber's co-authors include Todd B. Parrish, James M. Elliott, Sean Mackey, Andrew C. Smith, Sangeetha Madhavan, James W. Stinear, Xue Wang, Mark T. Stewart, Zachary A. Smith and Yufen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Kenneth A. Weber

98 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth A. Weber United States 22 478 420 243 224 219 110 1.3k
Mike Price United Kingdom 31 336 0.7× 232 0.6× 81 0.3× 244 1.1× 298 1.4× 133 2.5k
Joan Vidal Spain 26 880 1.8× 438 1.0× 182 0.7× 214 1.0× 31 0.1× 115 2.2k
Lotte Janssens Belgium 20 250 0.5× 228 0.5× 1.0k 4.3× 105 0.5× 43 0.2× 54 1.6k
Donald E. Watenpaugh United States 36 183 0.4× 575 1.4× 264 1.1× 407 1.8× 232 1.1× 132 3.7k
Jørn Nielsen Denmark 13 103 0.2× 350 0.8× 323 1.3× 76 0.3× 49 0.2× 42 1.1k
Raffaele De Italy 27 74 0.2× 460 1.1× 78 0.3× 225 1.0× 65 0.3× 95 1.7k
Frank Willard United States 17 599 1.3× 673 1.6× 591 2.4× 71 0.3× 36 0.2× 30 1.7k
Douglas G. Chang United States 18 588 1.2× 672 1.6× 615 2.5× 201 0.9× 74 0.3× 45 1.4k
Stephen W. Parker United States 20 220 0.5× 121 0.3× 73 0.3× 38 0.2× 52 0.2× 38 1.3k
Ronald Bulbulian United States 19 140 0.3× 88 0.2× 212 0.9× 197 0.9× 28 0.1× 41 1.1k

Countries citing papers authored by Kenneth A. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth A. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth A. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth A. Weber. A scholar is included among the top collaborators of Kenneth A. Weber 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 A. Weber. Kenneth A. Weber 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.
Valošek, Jan, et al.. (2025). Rootlets-based registration to the PAM50 spinal cord template. Imaging Neuroscience. 3. 1 indexed citations
2.
Mackey, Sean, Nima Aghaeepour, Brice Gaudillière, et al.. (2025). Innovations in acute and chronic pain biomarkers: enhancing diagnosis and personalized therapy. Regional Anesthesia & Pain Medicine. 50(2). 110–120. 9 indexed citations
3.
Tsagkas, Charidimos, Emanuele Pravatà, Cristina Granziera, et al.. (2025). Towards contrast-agnostic soft segmentation of the spinal cord. Medical Image Analysis. 101. 103473–103473. 3 indexed citations
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Pfyffer, Dario, et al.. (2024). Prognostic value of tissue bridges in cervical spinal cord injury: a longitudinal, multicentre, retrospective cohort study. The Lancet Neurology. 23(8). 816–825. 10 indexed citations
6.
Stewart, Chris, Zuzana Machotka, Kenneth A. Weber, et al.. (2024). Muscle Fat and Volume Differences in People With Hip‐Related Pain Compared With Controls: A Machine Learning Approach. Journal of Cachexia Sarcopenia and Muscle. 15(6). 2642–2650.
7.
Weber, Kenneth A., Candace Tefertiller, Mark M. Mañago, et al.. (2024). Lesion characteristics are associated with bowel, bladder, and overall independence following cervical spinal cord injury. Journal of Spinal Cord Medicine. 48(5). 858–866. 2 indexed citations
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10.
Weber, Kenneth A., Christine Law, Sean Mackey, et al.. (2024). Three-dimensional spatial distribution of lumbar paraspinal intramuscular fat revealed by spatial parametric mapping. European Spine Journal. 34(1). 27–35. 1 indexed citations
11.
Kim, Chan Kyo, Kenneth A. Weber, Ziba Gandomkar, et al.. (2024). Developing a deep learning model for automated multi-tissue segmentation of the shoulder. Journal of science and medicine in sport. 27. S46–S47. 1 indexed citations
12.
Elliott, James M., Rebecca J. Crawford, Jon Cornwall, et al.. (2024). Artificial Intelligence in Spine and Paraspinal Muscle Analysis. Advances in experimental medicine and biology. 1462. 465–473. 1 indexed citations
13.
Elliott, James M., et al.. (2024). Quantifying lumbar paraspinal intramuscular fat: Accuracy and reliability of automated thresholding models. North American Spine Society Journal (NASSJ). 17. 100313–100313. 3 indexed citations
14.
Falasinnu, Titilola, Md. Belal Hossain, Kenneth A. Weber, et al.. (2023). The Problem of Pain in the United States: A Population-Based Characterization of Biopsychosocial Correlates of High Impact Chronic Pain Using the National Health Interview Survey. Journal of Pain. 24(6). 1094–1103. 12 indexed citations
15.
Elliott, James M., D. Mark Courtney, Gunter P. Siegmund, et al.. (2023). Biopsychosocial sequelae and recovery trajectories from whiplash injury following a motor vehicle collision. The Spine Journal. 23(7). 1028–1036. 4 indexed citations
16.
Shakir, Hakeem J, et al.. (2023). Isolating Neurologic Deficits in Cervical Spondylotic Myelopathy. Neurology Clinical Practice. 13(2). e200126–e200126. 6 indexed citations
17.
Zoete, Rutger M. J. de, Peter Stanwell, Kenneth A. Weber, & Suzanne J. Snodgrass. (2022). Differences in Structural Brain Characteristics Between Individuals with Chronic Nonspecific Neck Pain and Asymptomatic Controls: A Case–Control Study. Dove Medical Press (Taylor and Francis Group). 7 indexed citations
18.
Gilbert, James, et al.. (2022). Impact of substance use disorders on employment for veterans.. Psychological Services. 20(Suppl 2). 222–231. 5 indexed citations
19.
Weber, Kenneth A., et al.. (2018). Midsagittal tissue bridges are associated with walking ability in incomplete spinal cord injury: A magnetic resonance imaging case series. Journal of Spinal Cord Medicine. 43(2). 268–271. 32 indexed citations
20.
Weber, Kenneth A.. (1990). {BLR 1070} Symposium on Moore v. Regents of the University of California.. Biotechnology Law Report. 9(4). 267–271. 2 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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