Sarah J. Nelson

410 total citations
8 papers, 310 citations indexed

About

Sarah J. Nelson is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Spectroscopy. According to data from OpenAlex, Sarah J. Nelson has authored 8 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Sarah J. Nelson's work include Advanced MRI Techniques and Applications (6 papers), MRI in cancer diagnosis (5 papers) and Advanced NMR Techniques and Applications (3 papers). Sarah J. Nelson is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), MRI in cancer diagnosis (5 papers) and Advanced NMR Techniques and Applications (3 papers). Sarah J. Nelson collaborates with scholars based in United States. Sarah J. Nelson's co-authors include Soonmee Cha, Susan M. Chang, Mitchel S. Berger, Michael Lee, Daniel B. Vigneron, Susan M. Chang, Kathleen R. Lamborn, Andrea Pirzkall, Radhika Srinivasan and Scott R. VandenBerg and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Journal of Magnetic Resonance Imaging.

In The Last Decade

Sarah J. Nelson

8 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah J. Nelson United States	8	222	162	50	36	34	8	310
Ping‐Huei Tsai Taiwan	7	316 1.4×	123 0.8×	63 1.3×	15 0.4×	42 1.2×	11	432
Saumya Gurbani United States	14	305 1.4×	209 1.3×	50 1.0×	31 0.9×	36 1.1×	34	504
Sylvie Grand France	7	212 1.0×	123 0.8×	25 0.5×	48 1.3×	45 1.3×	8	407
J.H. Duyn United States	6	281 1.3×	93 0.6×	24 0.5×	23 0.6×	34 1.0×	12	527
Thorsten Harth Germany	9	278 1.3×	82 0.5×	68 1.4×	30 0.8×	17 0.5×	9	427
S. Herminghaus Germany	8	458 2.1×	218 1.3×	36 0.7×	42 1.2×	64 1.9×	17	604
Chenhan Ling China	10	153 0.7×	71 0.4×	21 0.4×	49 1.4×	25 0.7×	26	327
Rui V. Simões Spain	16	169 0.8×	73 0.5×	59 1.2×	27 0.8×	35 1.0×	34	653
A. G. Sorensen United States	10	199 0.9×	139 0.9×	55 1.1×	64 1.8×	23 0.7×	21	401
Jussi‐Pekka Usenius Finland	10	313 1.4×	76 0.5×	24 0.5×	19 0.5×	87 2.6×	11	459

Countries citing papers authored by Sarah J. Nelson

Since Specialization

Citations

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

Fields of papers citing papers by Sarah J. Nelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Nelson. 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 Sarah J. Nelson. The network helps show where Sarah J. Nelson may publish in the future.

Co-authorship network of co-authors of Sarah J. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J. Nelson. A scholar is included among the top collaborators of Sarah J. Nelson 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 Sarah J. Nelson. Sarah J. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Jalbert, Llewellyn E., Joanna J. Phillips, Janine Lupo, et al.. (2016). Magnetic resonance analysis of malignant transformation in recurrent glioma. Neuro-Oncology. 18(8). 1169–1179. 17 indexed citations

Bian, Wei, Suchandrima Banerjee, Christopher P. Hess, et al.. (2014). Simultaneous imaging of radiation-induced cerebral microbleeds, arteries and veins, using a multiple gradient echo sequence at 7 Tesla. Journal of Magnetic Resonance Imaging. 42(2). 269–279. 18 indexed citations

Wen, Qiuting, Laleh Jalilian, Janine Lupo, et al.. (2014). Comparison of ADC metrics and their association with outcome for patients with newly diagnosed glioblastoma being treated with radiation therapy, temozolomide, erlotinib and bevacizumab. Journal of Neuro-Oncology. 121(2). 331–339. 31 indexed citations

Pirzkall, Andrea, Soonmee Cha, Raymond Liu, et al.. (2009). Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma. Neuro-Oncology. 11(6). 842–852. 92 indexed citations

Osorio, Joseph A., Esin Öztürk-Işık, Duan Xu, et al.. (2007). 3D ¹H MRSI of brain tumors at 3.0 tesla using an eight‐channel phased‐array head coil. Journal of Magnetic Resonance Imaging. 26(1). 23–30. 23 indexed citations

Öztürk-Işık, Esin, Jason C. Crane, Soonmee Cha, et al.. (2006). Unaliasing lipid contamination for MR spectroscopic imaging of gliomas at 3T using sensitivity encoding (SENSE). Magnetic Resonance in Medicine. 55(5). 1164–1169. 16 indexed citations

Srinivasan, Radhika, Charles H. Cunningham, Daniel B. Vigneron, et al.. (2006). TE-Averaged two-dimensional proton spectroscopic imaging of glutamate at 3 T. NeuroImage. 30(4). 1171–1178. 63 indexed citations

Lee, Michael, Soonmee Cha, Susan M. Chang, & Sarah J. Nelson. (2005). Dynamic susceptibility contrast perfusion imaging of radiation effects in normal‐appearing brain tissue: Changes in the first‐pass and recirculation phases. Journal of Magnetic Resonance Imaging. 21(6). 683–693. 50 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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