Mark R. Day

934 total citations
8 papers, 735 citations indexed

About

Mark R. Day is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Mark R. Day has authored 8 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Spectroscopy and 3 papers in Materials Chemistry. Recurrent topics in Mark R. Day's work include Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (4 papers) and Lanthanide and Transition Metal Complexes (3 papers). Mark R. Day is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (4 papers) and Lanthanide and Transition Metal Complexes (3 papers). Mark R. Day collaborates with scholars based in United States. Mark R. Day's co-authors include Daniel B. Vigneron, Sarah J. Nelson, Roland G. Henry, Lawrence L. Wald, Susan M. Chang, William P. Dillon, Susan M. Noworolski, Andrew W. Bollen, Michael W. McDermott and Nicholas M. Barbaro and has published in prestigious journals such as Journal of neurosurgery, Magnetic Resonance in Medicine and American Journal of Neuroradiology.

In The Last Decade

Mark R. Day

8 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark R. Day United States	7	621	259	134	71	65	8	735
Efstathios D. Gotsis Greece	18	412 0.7×	515 2.0×	97 0.7×	32 0.5×	75 1.2×	31	1.0k
Karsten Wicklow Germany	8	440 0.7×	105 0.4×	88 0.7×	44 0.6×	63 1.0×	10	593
Victoria L. Doyle United Kingdom	9	428 0.7×	115 0.4×	91 0.7×	80 1.1×	79 1.2×	9	844
S. Herminghaus Germany	8	458 0.7×	218 0.8×	64 0.5×	42 0.6×	36 0.6×	17	604
Timothy J. Larkin United Kingdom	14	322 0.5×	212 0.8×	119 0.9×	57 0.8×	48 0.7×	34	542
Esin Öztürk-Işık Türkiye	16	479 0.8×	150 0.6×	143 1.1×	27 0.4×	55 0.8×	54	655
Carles Aguilera Spain	15	457 0.7×	307 1.2×	71 0.5×	36 0.5×	69 1.1×	21	796
J. B. M. Warntjes Sweden	18	858 1.4×	87 0.3×	109 0.8×	102 1.4×	46 0.7×	28	1.2k
R. Pokrupa Canada	13	433 0.7×	94 0.4×	79 0.6×	31 0.4×	145 2.2×	26	1.1k
Kristin Padavic‐Shaller United States	12	426 0.7×	100 0.4×	117 0.9×	57 0.8×	48 0.7×	19	658

Countries citing papers authored by Mark R. Day

Since Specialization

Citations

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

Fields of papers citing papers by Mark R. Day

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Day. 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 Mark R. Day. The network helps show where Mark R. Day may publish in the future.

Co-authorship network of co-authors of Mark R. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Day. A scholar is included among the top collaborators of Mark R. Day 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 Mark R. Day. Mark R. Day 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

Vigneron, Daniel B., Andrew W. Bollen, Michael McDermott, et al.. (2001). Three-dimensional magnetic resonance spectroscopic imaging of histologically confirmed brain tumors. Magnetic Resonance Imaging. 19(1). 89–101. 73 indexed citations

Bollen, Andrew W., Susan M. Noworolski, Michael W. McDermott, et al.. (2001). Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens.. American Journal of Neuroradiology. 22(4). 604–12. 296 indexed citations

Noworolski, Susan M., Sarah J. Nelson, Roland G. Henry, et al.. (1999). High spatial resolution1H-MRSI and segmented MRI of cortical gray matter and subcortical white matter in three regions of the human brain. Magnetic Resonance in Medicine. 41(1). 21–29. 69 indexed citations

Noworolski, Susan M., Sarah J. Nelson, Roland G. Henry, et al.. (1999). High spatial resolution 1H‐MRSI and segmented MRI of cortical gray matter and subcortical white matter in three regions of the human brain. Magnetic Resonance in Medicine. 41(1). 21–29. 2 indexed citations

Nelson, Sarah J., Mark R. Day, Lawrence L. Wald, et al.. (1997). Alignment of Volume MR Images and High Resolution [18F]Fluorodeoxyglucose PET Images for the Evaluation of Patients with Brain Tumors. Journal of Computer Assisted Tomography. 21(2). 183–191. 23 indexed citations

Wald, Lawrence L., Sarah J. Nelson, Mark R. Day, et al.. (1997). Serial proton magnetic resonance spectroscopy imaging of glioblastoma multiforme after brachytherapy. Journal of neurosurgery. 87(4). 525–534. 133 indexed citations

Nelson, S.J., Stephen L. Huhn, Daniel B. Vigneron, et al.. (1997). Volume MRI and MRSI techniques for the quantitation of treatment response in brain tumors: Presentation of a detailed case study. Journal of Magnetic Resonance Imaging. 7(6). 1146–1152. 63 indexed citations

Wald, Lawrence L., et al.. (1995). Proton spectroscopic imaging of the human brain using phased array detectors. Magnetic Resonance in Medicine. 34(3). 440–445. 76 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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