Lindsay Blair

864 total citations
17 papers, 666 citations indexed

About

Lindsay Blair is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Genetics. According to data from OpenAlex, Lindsay Blair has authored 17 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Materials Chemistry and 5 papers in Genetics. Recurrent topics in Lindsay Blair's work include Advanced MRI Techniques and Applications (11 papers), Lanthanide and Transition Metal Complexes (9 papers) and MRI in cancer diagnosis (5 papers). Lindsay Blair is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Lanthanide and Transition Metal Complexes (9 papers) and MRI in cancer diagnosis (5 papers). Lindsay Blair collaborates with scholars based in United States, China and Sweden. Lindsay Blair's co-authors include Jaishri O. Blakeley, Peter C.M. van Zijl, Jinyuan Zhou, John Laterra, Martin G. Pomper, Peter B. Barker, Alfredo Quiñones‐Hinojosa, Michael Lim, Charles G. Eberhart and Hye‐Young Heo and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Clinical Cancer Research.

In The Last Decade

Lindsay Blair

15 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lindsay Blair United States 10 548 428 140 116 62 17 666
Xiaohua Hong China 9 581 1.1× 366 0.9× 104 0.7× 112 1.0× 43 0.7× 10 748
Patrick Schuenke Germany 14 662 1.2× 506 1.2× 61 0.4× 182 1.6× 35 0.6× 22 752
Steffen Goerke Germany 19 1.2k 2.2× 1.1k 2.5× 109 0.8× 407 3.5× 86 1.4× 37 1.3k
Johannes Windschuh Germany 17 1.2k 2.2× 1.0k 2.4× 113 0.8× 372 3.2× 82 1.3× 22 1.3k
Sean Peter Johnson United Kingdom 9 518 0.9× 268 0.6× 25 0.2× 121 1.0× 19 0.3× 16 716
Katerina Deike‐Hofmann Germany 15 541 1.0× 209 0.5× 161 1.1× 21 0.2× 17 0.3× 34 707
Marilena Rega United Kingdom 4 335 0.6× 280 0.7× 14 0.1× 118 1.0× 26 0.4× 11 491
Kimberly L. Desmond Canada 9 456 0.8× 337 0.8× 62 0.4× 147 1.3× 35 0.6× 20 517
Zhengwei Zhou United States 14 355 0.6× 193 0.5× 17 0.1× 62 0.5× 18 0.3× 36 697
Ruitian Song United States 13 191 0.3× 86 0.2× 216 1.5× 99 0.9× 13 0.2× 38 654

Countries citing papers authored by Lindsay Blair

Since Specialization
Citations

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

Fields of papers citing papers by Lindsay Blair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsay Blair

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

All Works

17 of 17 papers shown
1.
Knutsson, Linda, Nirbhay N. Yadav, David Kamson, et al.. (2025). Dynamic glucose enhanced imaging using direct water saturation. Magnetic Resonance in Medicine. 94(1). 15–27.
2.
Simičić, Dunja, Lindsay Blair, Helge J. Zöllner, et al.. (2025). Effect of ivosidenib and vorasidenib on 2-hydroxyglutarate levels in low grade glioma: An in vivo MR spectroscopy study.. Journal of Clinical Oncology. 43(16_suppl). 2081–2081.
3.
Heo, Hye‐Young, et al.. (2024). Unraveling contributions to the Z‐spectrum signal at 3.5 ppm of human brain tumors. Magnetic Resonance in Medicine. 92(6). 2641–2651. 6 indexed citations
4.
Wang, Kexin, Licheng Ju, Yulu Song, et al.. (2024). Whole‐cerebrum guanidino and amide CEST mapping at 3 T by a 3D stack‐of‐spirals gradient echo acquisition. Magnetic Resonance in Medicine. 92(4). 1456–1470. 9 indexed citations
5.
Kamson, David, et al.. (2023). Impact of Frontline Ivosidenib on Volumetric Growth Patterns in Isocitrate Dehydrogenase–mutant Astrocytic and Oligodendroglial Tumors. Clinical Cancer Research. 29(23). 4863–4869. 14 indexed citations
6.
Kamson, David, et al.. (2023). Downfield Proton MRSI at 3 Tesla: A Pilot Study in Human Brain Tumors. Cancers. 15(17). 4311–4311. 2 indexed citations
7.
Schreck, Karisa C., Fang‐Chi Hsu, Adam Berrington, et al.. (2021). Feasibility and Biological Activity of a Ketogenic/Intermittent-Fasting Diet in Patients With Glioma. Neurology. 97(9). e953–e963. 42 indexed citations
8.
Berrington, Adam, Karisa C. Schreck, Bobbie J. Henry-Barron, et al.. (2019). Cerebral Ketones Detected by 3T MR Spectroscopy in Patients with High-Grade Glioma on an Atkins-Based Diet. American Journal of Neuroradiology. 40(11). 1908–1915. 11 indexed citations
9.
Romo, Carlos G., Bronwyn Slobogean, Lindsay Blair, & Jaishri O. Blakeley. (2019). Trametinib for aggressive gliomas in adults with neurofibromatosis type 1.. Journal of Clinical Oncology. 37(15_suppl). e13562–e13562. 3 indexed citations
10.
Romo, Carlos G., Bronwyn Slobogean, Lindsay Blair, & Jaishri O. Blakeley. (2019). RARE-54. MEK INHIBITION FOR AGGRESSIVE GLIOMAS IN ADULTS WITH NEUROFIBROMATOSIS TYPE 1. Neuro-Oncology. 21(Supplement_6). vi233–vi233. 2 indexed citations
11.
Xu, Xiang, Nirbhay N. Yadav, John Laterra, et al.. (2019). d‐glucose weighted chemical exchange saturation transfer (glucoCEST)‐based dynamic glucose enhanced (DGE) MRI at 3T: early experience in healthy volunteers and brain tumor patients. Magnetic Resonance in Medicine. 84(1). 247–262. 41 indexed citations
12.
Jiang, Shanshan, Charles G. Eberhart, Michael Lim, et al.. (2018). Identifying Recurrent Malignant Glioma after Treatment Using Amide Proton Transfer-Weighted MR Imaging: A Validation Study with Image-Guided Stereotactic Biopsy. Clinical Cancer Research. 25(2). 552–561. 114 indexed citations
13.
Jiang, Shanshan, Charles G. Eberhart, Yi Zhang, et al.. (2017). Amide proton transfer-weighted magnetic resonance image-guided stereotactic biopsy in patients with newly diagnosed gliomas. European Journal of Cancer. 83. 9–18. 77 indexed citations
14.
Ma, Bo, Jaishri O. Blakeley, Xiaohua Hong, et al.. (2016). Applying amide proton transfer‐weighted MRI to distinguish pseudoprogression from true progression in malignant gliomas. Journal of Magnetic Resonance Imaging. 44(2). 456–462. 137 indexed citations
15.
Zhou, Jinyuan, He Zhu, Michael Lim, et al.. (2013). Three‐dimensional amide proton transfer MR imaging of gliomas: Initial experience and comparison with gadolinium enhancement. Journal of Magnetic Resonance Imaging. 38(5). 1119–1128. 182 indexed citations
16.
Holdhoff, Matthias, Xiaobu Ye, Jaishri O. Blakeley, et al.. (2012). Use of personalized molecular biomarkers in the clinical care of adults with glioblastomas. Journal of Neuro-Oncology. 110(2). 279–285. 23 indexed citations
17.
Zhu, Hui, Lindsay Blair, Peter Barker, et al.. (2011). The role of amide proton transfer imaging in detecting active malignant glioma.. Journal of Clinical Oncology. 29(15_suppl). 2024–2024. 3 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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