Stephen Honig

1.4k total citations
51 papers, 985 citations indexed

About

Stephen Honig is a scholar working on Orthopedics and Sports Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen Honig has authored 51 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Orthopedics and Sports Medicine, 23 papers in Surgery and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen Honig's work include Bone health and osteoporosis research (26 papers), Bone and Joint Diseases (22 papers) and Hip disorders and treatments (10 papers). Stephen Honig is often cited by papers focused on Bone health and osteoporosis research (26 papers), Bone and Joint Diseases (22 papers) and Hip disorders and treatments (10 papers). Stephen Honig collaborates with scholars based in United States, France and Switzerland. Stephen Honig's co-authors include Ravinder R. Regatte, Chamith S. Rajapakse, Gregory Chang, Gregory Chang, Gerald Weissmann, Peter D. Gorevic, Uran Ferizi, Kenneth A. Egol, Kathleen A. Murray and Ryan Brown and has published in prestigious journals such as Radiology, Pain and The American Journal of Medicine.

In The Last Decade

Stephen Honig

50 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Honig United States 18 474 348 188 153 151 51 985
Sofia Chatziioannou Greece 15 161 0.3× 335 1.0× 241 1.3× 86 0.6× 61 0.4× 66 943
Shinobu Tatsunami Japan 14 541 1.1× 220 0.6× 26 0.1× 221 1.4× 91 0.6× 36 1.1k
Jan P. van Straalen Netherlands 20 53 0.1× 234 0.7× 227 1.2× 44 0.3× 78 0.5× 45 1.1k
Philippe Germain France 14 87 0.2× 154 0.4× 201 1.1× 92 0.6× 22 0.1× 44 834
Estelle Gandjbakhch France 21 277 0.6× 187 0.5× 70 0.4× 25 0.2× 37 0.2× 101 1.8k
Sang Tae Choi South Korea 17 59 0.1× 101 0.3× 36 0.2× 65 0.4× 259 1.7× 63 685
Giancarlo Todiere Italy 22 54 0.1× 327 0.9× 550 2.9× 53 0.3× 33 0.2× 84 1.6k
Sian Yik Lim United States 12 135 0.3× 155 0.4× 26 0.1× 51 0.3× 49 0.3× 39 480
Houchen Lyu China 16 189 0.4× 189 0.5× 17 0.1× 24 0.2× 178 1.2× 50 690
Shinji Yoshida Japan 12 35 0.1× 287 0.8× 427 2.3× 94 0.6× 82 0.5× 40 1.2k

Countries citing papers authored by Stephen Honig

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Honig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Honig

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Honig. A scholar is included among the top collaborators of Stephen Honig 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 Stephen Honig. Stephen Honig 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.
Honig, Stephen, et al.. (2022). The effects of caffeine on bone mineral density and fracture risk. Osteoporosis International. 33(6). 1235–1241. 40 indexed citations
2.
3.
Ferizi, Uran, Stephen Honig, & Gregory Chang. (2019). Artificial intelligence, osteoporosis and fragility fractures. Current Opinion in Rheumatology. 31(4). 368–375. 62 indexed citations
4.
Ramme, Austin J., Shaleen Vira, Stephen Honig, et al.. (2019). A Novel MRI Tool for Evaluating Cortical Bone Thickness of the Proximal Femur.. PubMed. 77(2). 115–121. 3 indexed citations
5.
Leporq, Benjamin, Amit Saxena, H. Michael Belmont, et al.. (2018). 3T chemical shift‐encoded MRI: Detection of altered proximal femur marrow adipose tissue composition in glucocorticoid users and validation with magnetic resonance spectroscopy. Journal of Magnetic Resonance Imaging. 50(2). 490–496. 21 indexed citations
6.
Leporq, Benjamin, et al.. (2018). Chemical shift-encoded MRI for assessment of bone marrow adipose tissue fat composition: Pilot study in premenopausal versus postmenopausal women. Magnetic Resonance Imaging. 53. 148–155. 28 indexed citations
7.
Chang, Gregory, et al.. (2017). MRI assessment of bone structure and microarchitecture. Journal of Magnetic Resonance Imaging. 46(2). 323–337. 88 indexed citations
8.
Agten, Christoph A., Stephen Honig, Punam K. Saha, Ravinder R. Regatte, & Gregory Chang. (2017). Subchondral bone microarchitecture analysis in the proximal tibia at 7-T MRI. Acta Radiologica. 59(6). 716–722. 4 indexed citations
9.
Rajapakse, Chamith S., Cheng Chen, Stephen Honig, et al.. (2015). In vivo measurement reproducibility of femoral neck microarchitectural parameters derived from 3T MR images. Journal of Magnetic Resonance Imaging. 42(5). 1339–1345. 10 indexed citations
10.
11.
Chang, Gregory, Henry Rusinek, Stephen Honig, et al.. (2014). Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength. Magnetic Resonance Materials in Physics Biology and Medicine. 28(4). 407–412. 14 indexed citations
12.
Chang, Gregory, Stephen Honig, Cheng Chen, et al.. (2014). 7 Tesla MRI of bone microarchitecture discriminates between women without and with fragility fractures who do not differ by bone mineral density. Journal of Bone and Mineral Metabolism. 33(3). 285–293. 30 indexed citations
13.
Chang, Gregory, Chamith S. Rajapakse, Stephen Honig, et al.. (2012). Micro-finite element analysis applied to high-resolution MRI reveals improved bone mechanical competence in the distal femur of female pre-professional dancers. Osteoporosis International. 24(4). 1407–1417. 15 indexed citations
14.
Chang, Gregory, Chamith S. Rajapakse, James S. Babb, et al.. (2011). In vivo estimation of bone stiffness at the distal femur and proximal tibia using ultra-high-field 7-Tesla magnetic resonance imaging and micro-finite element analysis. Journal of Bone and Mineral Metabolism. 30(2). 243–251. 22 indexed citations
15.
Honig, Stephen, et al.. (2009). Utility of Bone Densitometry in Diagnostic Evaluation and Monitoring in Regional Migratory Osteoporosis. JCR Journal of Clinical Rheumatology. 15(3). 124–126. 5 indexed citations
16.
Honig, Stephen. (1993). Build it and they will come. The American Journal of Medicine. 95(2). 229–230. 2 indexed citations
17.
Honig, Stephen & Raj Murali. (1992). Spinal cord claudication from amyloid deposition.. PubMed. 19(12). 1988–90. 8 indexed citations
18.
Honig, Stephen. (1988). Clinical trials in acute musculoskeletal injury states. The American Journal of Medicine. 84(5). 42–44. 7 indexed citations
19.
Honig, Stephen & Kathleen A. Murray. (1981). Postsurgical Pain: Zomepirac Sodium, Propoxyphene/‐Acetaminophen Combination, and Placebo. The Journal of Clinical Pharmacology. 21(10). 443–448. 7 indexed citations
20.
deAndrade, J. Robin, Stephen Honig, William J. Ciccone, & LaSalle D. Leffall. (1980). Clinical Comparison of Zomepirac with Pentazocine in the Treatment of Postoperative Pain. The Journal of Clinical Pharmacology. 20(4). 292–297. 11 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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