S. Mahan

410 total citations
20 papers, 339 citations indexed

About

S. Mahan is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Mahan has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiation, 12 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Mahan's work include Advanced Radiotherapy Techniques (15 papers), Radiation Therapy and Dosimetry (7 papers) and Medical Imaging Techniques and Applications (5 papers). S. Mahan is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Radiation Therapy and Dosimetry (7 papers) and Medical Imaging Techniques and Applications (5 papers). S. Mahan collaborates with scholars based in United States and Belgium. S. Mahan's co-authors include Chester R. Ramsey, D. Scaperoth, R. Seibert, Thomas Byrne, Patrick A. Kupelian, K Langen, Sanford L. Meeks, D. Desai, S. C. Woods and Gregory L. Florant and has published in prestigious journals such as Blood, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

S. Mahan

17 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Mahan United States 8 233 172 170 54 45 20 339
Yuan‐Chyuan Lo United States 13 233 1.0× 129 0.8× 168 1.0× 64 1.2× 31 0.7× 21 460
Sigrid Leide-Svegborn Sweden 13 83 0.4× 286 1.7× 97 0.6× 74 1.4× 67 1.5× 32 479
R. E. Ellis United Kingdom 11 121 0.5× 174 1.0× 102 0.6× 8 0.1× 52 1.2× 32 453
C. Bragg United Kingdom 11 281 1.2× 214 1.2× 208 1.2× 34 0.6× 50 1.1× 17 402
Elizabeth Bossart United States 9 193 0.8× 251 1.5× 159 0.9× 17 0.3× 21 0.5× 29 368
D Beachey Canada 11 175 0.8× 108 0.6× 139 0.8× 27 0.5× 42 0.9× 22 369
Karin Poljanc Austria 9 139 0.6× 118 0.7× 153 0.9× 12 0.2× 32 0.7× 20 348
R. Iwata Japan 7 22 0.1× 255 1.5× 187 1.1× 22 0.4× 10 0.2× 14 475
Thomas Ravkilde Denmark 13 304 1.3× 264 1.5× 204 1.2× 12 0.2× 66 1.5× 31 372
Ermias Gete Canada 16 248 1.1× 127 0.7× 231 1.4× 40 0.7× 45 1.0× 38 564

Countries citing papers authored by S. Mahan

Since Specialization
Citations

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

Fields of papers citing papers by S. Mahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Mahan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Mahan. A scholar is included among the top collaborators of S. Mahan 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 S. Mahan. S. Mahan 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.
Milano, Filippo, Brenda M. Sandmaier, Mary‐Elizabeth M. Percival, et al.. (2024). CLAG-M or FLAG-Ida Followed Immediately By Allogeneic Hematopoietic Cell Transplantation for Adults with Relapsed/Refractory Acute Myeloid Leukemia or Other High-Grade Myeloid Neoplasm. Blood. 144(Supplement 1). 265–265.
2.
Ramsey, Chester R., et al.. (2007). Image‐guided helical tomotherapy for localized prostate cancer: technique and initial clinical observations. Journal of Applied Clinical Medical Physics. 8(3). 37–51. 18 indexed citations
3.
Ramsey, Chester R., et al.. (2006). Out‐of‐field dosimetry measurements for a helical tomotherapy system. Journal of Applied Clinical Medical Physics. 7(3). 1–11. 45 indexed citations
4.
Ramsey, Chester R., K Langen, Patrick A. Kupelian, et al.. (2006). A technique for adaptive image-guided helical tomotherapy for lung cancer. International Journal of Radiation Oncology*Biology*Physics. 64(4). 1237–1244. 98 indexed citations
5.
Desai, D., Chester R. Ramsey, M. Breinig, & S. Mahan. (2006). A topographic leaf-sequencing algorithm for delivering intensity modulated radiation therapya). Medical Physics. 33(8). 2751–2756. 3 indexed citations
6.
Mahan, S., et al.. (2005). Evaluation of image-guided helical tomotherapy for the retreatment of spinal metastasis. International Journal of Radiation Oncology*Biology*Physics. 63(5). 1576–1583. 73 indexed citations
7.
Byrne, Thomas, et al.. (2005). The Dosimetric Impact of Respiration Motion on 3D, IMRT, and Tomotherapy Treatment Delivery. International Journal of Radiation Oncology*Biology*Physics. 63. S496–S496. 2 indexed citations
8.
Scaperoth, D., et al.. (2005). Dose Reconstruction for Image-Guided Head and Neck Cancers. International Journal of Radiation Oncology*Biology*Physics. 63. S557–S558. 1 indexed citations
9.
Mahan, S., et al.. (2005). Four-Dimensional Megavoltage CT Imaging with a Helical Tomotherapy System. International Journal of Radiation Oncology*Biology*Physics. 63. S519–S520. 2 indexed citations
10.
Scaperoth, D., et al.. (2005). A Dose Reconstruction Analysis for Determining Optimal Treatment Margins for Image-Guided and Daily Adaptive Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 63. S92–S92. 1 indexed citations
11.
Mahan, S., et al.. (2004). Technical Note: Output and energy fluctuations of the tomotherapy Hi‐Art helical tomotherapy system. Medical Physics. 31(7). 2119–2120. 14 indexed citations
12.
Mahan, S., et al.. (2004). Image-guided adaptive therapy for the treatment of lung cancer. International Journal of Radiation Oncology*Biology*Physics. 60(1). S339–S339. 7 indexed citations
13.
Mahan, S., et al.. (2004). The impact of inter- and intra-fraction motion in image-guided helical tomotherapy. International Journal of Radiation Oncology*Biology*Physics. 60. S619–S619. 3 indexed citations
14.
Byrne, Thomas, et al.. (2004). Daily image-guided adaptive radiotherapy for prostate cancer using helical tomotherapy. International Journal of Radiation Oncology*Biology*Physics. 60. S613–S614.
15.
Byrne, Thomas, et al.. (2004). Daily image-guided adaptive radiotherapy for prostate cancer using helical tomotherapy. International Journal of Radiation Oncology*Biology*Physics. 60(1). S613–S614. 2 indexed citations
16.
Mahan, S., et al.. (2004). The impact of inter- and intra-fraction motion in image-guided helical tomotherapy. International Journal of Radiation Oncology*Biology*Physics. 60(1). S619–S619. 3 indexed citations
17.
18.
Blass, W. E., J. J. Hillman, A. Fayt, et al.. (2001). 10μm ethylene: spectroscopy, intensities and a planetary modeler's atlas. Journal of Quantitative Spectroscopy and Radiative Transfer. 71(1). 47–60. 39 indexed citations
19.
Blass, W. E., S. Mahan, & Gordon Chin. (1995). Convolution connection paradigm neural network enables linear system theory‐based image enhancement. International Journal of Imaging Systems and Technology. 6(4). 350–357. 2 indexed citations
20.
Florant, Gregory L., Ralph D. Richardson, S. Mahan, Lori Singer, & S. C. Woods. (1991). Seasonal changes in CSF insulin levels in marmots: insulin may not be a satiety signal for fasting in winter. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 260(4). R712–R716. 26 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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