Nathaniel Wycliffe

2.2k total citations
34 papers, 1.3k citations indexed

About

Nathaniel Wycliffe is a scholar working on Surgery, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nathaniel Wycliffe has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 11 papers in Pathology and Forensic Medicine and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nathaniel Wycliffe's work include Spine and Intervertebral Disc Pathology (11 papers), Spinal Fractures and Fixation Techniques (8 papers) and Neonatal and fetal brain pathology (7 papers). Nathaniel Wycliffe is often cited by papers focused on Spine and Intervertebral Disc Pathology (11 papers), Spinal Fractures and Fixation Techniques (8 papers) and Neonatal and fetal brain pathology (7 papers). Nathaniel Wycliffe collaborates with scholars based in United States, Bulgaria and Germany. Nathaniel Wycliffe's co-authors include Barbara A. Holshouser, Stephen Ashwal, Daniel K. Kido, E. Mark Haacke, Douglas Deming, David Michelson, A. James Barkovich, David V. Glidden, Vijay Ramaswamy and Donna M. Ferriero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Spine.

In The Last Decade

Nathaniel Wycliffe

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel Wycliffe United States 15 591 388 317 282 206 34 1.3k
Matthew T. Whitehead United States 20 391 0.7× 330 0.9× 180 0.6× 282 1.0× 210 1.0× 125 1.7k
Thierry A. G. M. Huisman United States 23 688 1.2× 522 1.3× 231 0.7× 588 2.1× 342 1.7× 84 1.9k
Alan Bainbridge United Kingdom 21 672 1.1× 496 1.3× 297 0.9× 95 0.3× 68 0.3× 58 1.3k
Mai‐Lan Ho United States 22 231 0.4× 266 0.7× 235 0.7× 368 1.3× 291 1.4× 96 1.6k
Alan Bainbridge United Kingdom 22 1.1k 1.8× 625 1.6× 518 1.6× 189 0.7× 301 1.5× 80 2.1k
Bruno P. Soares United States 21 318 0.5× 283 0.7× 365 1.2× 569 2.0× 459 2.2× 88 1.7k
Marianne Alison France 19 545 0.9× 401 1.0× 236 0.7× 108 0.4× 201 1.0× 94 1.7k
Nicholas Stence United States 21 218 0.4× 343 0.9× 189 0.6× 370 1.3× 259 1.3× 78 1.5k
Bahattin Hakyemez Türkiye 24 303 0.5× 703 1.8× 290 0.9× 743 2.6× 423 2.1× 154 2.2k
Liana Beni‐Adani Israel 25 660 1.1× 148 0.4× 108 0.3× 573 2.0× 224 1.1× 51 1.8k

Countries citing papers authored by Nathaniel Wycliffe

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Wycliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Wycliffe

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Wycliffe. A scholar is included among the top collaborators of Nathaniel Wycliffe 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 Nathaniel Wycliffe. Nathaniel Wycliffe 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.
Im, Daniel D., et al.. (2024). Lumbar disc space height in relation to neural foraminal dimensions and patient characteristics: A morphometric analysis from L1-S1 using computed tomography. SHILAP Revista de lepidopterología. 5. 104162–104162. 1 indexed citations
2.
Shin, David S., et al.. (2024). Correlations among Cervical, Thoracic, and lumbar Hounsfield Unit measurements for assessment of bone mineral density. Journal of Clinical Neuroscience. 120. 23–28. 5 indexed citations
3.
Im, Daniel D., et al.. (2024). Anatomic Parameters for Diagnosing Congenital Lumbar Stenosis Based on Computed Tomography of 1,000 Patients. Journal of the American Academy of Orthopaedic Surgeons. 32(22). e1186–e1195. 1 indexed citations
4.
Taylor, Rachel R., David S. Shin, Nathaniel Wycliffe, et al.. (2024). Morphometric analysis of cervical neuroforaminal dimensions from C2–T1 using computed tomography of 1,000 patients. The Spine Journal. 25(10). 2215–2227. 3 indexed citations
5.
Wycliffe, Nathaniel, et al.. (2024). Oblique lateral interbody fusion at L5-S1: feasibility, surgical approach window, incision line, and influencing factors. European Spine Journal. 33(7). 2604–2610.
6.
Wycliffe, Nathaniel, et al.. (2023). Anatomic Assessment of L1-S1 Neuroforaminal Dimensions Using Computed Tomography. Journal of Bone and Joint Surgery. 105(19). 1512–1518. 6 indexed citations
7.
Wycliffe, Nathaniel, et al.. (2023). CT-based analysis of oblique lateral interbody fusion from L1 to L5: location of incision, feasibility of safe corridor approach, and influencing factors. European Spine Journal. 32(6). 1947–1952. 7 indexed citations
8.
Wycliffe, Nathaniel, et al.. (2022). Comparison of cervical, thoracic, and lumbar vertebral bone quality scores for increased utility of bone mineral density screening. European Spine Journal. 32(1). 20–26. 17 indexed citations
9.
10.
Hsu, Frank P. K., et al.. (2015). Hoffmann Sign. Spine. 40(7). 475–479. 14 indexed citations
11.
Bartnik‐Olson, Brenda, et al.. (2011). The effect of whole-body cooling on brain metabolism following perinatal hypoxic–ischemic injury. Pediatric Research. 71(1). 85–92. 9 indexed citations
12.
Ashwal, Stephen, Nathaniel Wycliffe, & Barbara A. Holshouser. (2010). Advanced Neuroimaging in Children with Nonaccidental Trauma. Developmental Neuroscience. 32(5-6). 343–360. 28 indexed citations
13.
Oyoyo, Udo, et al.. (2008). Influence of common orthodontic appliances on the diagnostic quality of cranial magnetic resonance images. American Journal of Orthodontics and Dentofacial Orthopedics. 134(4). 563–572. 56 indexed citations
14.
Wycliffe, Nathaniel, et al.. (2007). Hypopharyngeal Cancer. Topics in Magnetic Resonance Imaging. 18(4). 243–258. 52 indexed citations
15.
Angeles, Danilyn M., et al.. (2007). Relationship Between Opioid Therapy, Tissue-Damaging Procedures, and Brain Metabolites as Measured by Proton MRS in Asphyxiated Term Neonates. Pediatric Research. 61(5, Part 1). 614–621. 26 indexed citations
16.
Miller, Steven P., Vijay Ramaswamy, David Michelson, et al.. (2005). Patterns of brain injury in term neonatal encephalopathy. The Journal of Pediatrics. 146(4). 453–460. 418 indexed citations
17.
Sehgal, Vivek, Zachary DelProposto, E. Mark Haacke, et al.. (2005). Clinical applications of neuroimaging with susceptibility‐weighted imaging. Journal of Magnetic Resonance Imaging. 22(4). 439–450. 331 indexed citations
18.
19.
Wycliffe, Nathaniel & Mahmood F. Mafee. (1999). Magnetic Resonance Imaging in Ocular Pathology. Topics in Magnetic Resonance Imaging. 10(6). 384–400. 13 indexed citations
20.
Bárány, Michael, Palamadai N. Venkatasubramanian, Irwin M. Siegel, et al.. (1989). Quantitative and qualitative fat analysis in human leg muscle of neuromuscular diseases by 1H MR spectroscopy in vivo. Magnetic Resonance in Medicine. 10(2). 210–226. 38 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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