Sheeba Arnold

491 total citations
9 papers, 399 citations indexed

About

Sheeba Arnold is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sheeba Arnold has authored 9 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sheeba Arnold's work include Advanced MRI Techniques and Applications (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Functional Brain Connectivity Studies (3 papers). Sheeba Arnold is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Functional Brain Connectivity Studies (3 papers). Sheeba Arnold collaborates with scholars based in United States, Italy and Argentina. Sheeba Arnold's co-authors include Jorge Jovicich, Thomas Ernst, L. Chang, James W. Goldfarb, Elisabeth C. Caparelli, Dardo Tomasi, Thomas Ernst, Jing Han, Linda Chang and Renat Yakupov and has published in prestigious journals such as NeuroImage, Neurology and Annals of Neurology.

In The Last Decade

Sheeba Arnold

8 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheeba Arnold United States	6	162	118	112	61	61	9	399
Talia R. Seider United States	9	174 1.1×	58 0.5×	140 1.3×	44 0.7×	140 2.3×	11	524
Christine Liang United States	7	197 1.2×	261 2.2×	240 2.1×	27 0.4×	128 2.1×	7	587
Anne Roc United States	8	115 0.7×	426 3.6×	318 2.8×	42 0.7×	68 1.1×	11	738
Gopukumar Kumarpillai India	6	86 0.5×	54 0.5×	31 0.3×	47 0.8×	46 0.8×	9	363
Shane MacKay United States	9	94 0.6×	59 0.5×	150 1.3×	10 0.2×	38 0.6×	9	421
Tanja Su Netherlands	9	245 1.5×	43 0.4×	136 1.2×	10 0.2×	207 3.4×	15	606
Tatjana Novakovic-Agopian United States	11	190 1.2×	31 0.3×	200 1.8×	31 0.5×	131 2.1×	25	621
Victoria S.S. Wong United States	12	86 0.5×	62 0.5×	152 1.4×	6 0.1×	48 0.8×	28	487
Frances Robertson South Africa	13	55 0.3×	177 1.5×	112 1.0×	39 0.6×	48 0.8×	28	468
Edgar Busovaca United States	13	299 1.8×	85 0.7×	78 0.7×	7 0.1×	209 3.4×	13	473

Countries citing papers authored by Sheeba Arnold

Since Specialization

Citations

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

Fields of papers citing papers by Sheeba Arnold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheeba Arnold

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

All Works

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9 of 9 papers shown

1.

Goldfarb, James W., Sheeba Arnold, & Marguerite Roth. (2009). Gadolinium pharmacokinetics of chronic myocardial infarcts: Implications for late gadolinium‐enhanced infarct imaging. Journal of Magnetic Resonance Imaging. 30(4). 763–770. 10 indexed citations

2.

Goldfarb, James W., Sheeba Arnold, Marguerite Roth, & Jing Han. (2007). T₁‐weighted magnetic resonance imaging shows fatty deposition after myocardial infarction. Magnetic Resonance in Medicine. 57(5). 828–834. 32 indexed citations

3.

Goldfarb, James W., Sheeba Arnold, & Jing Han. (2007). Recent Myocardial Infarction: Assessment with Unenhanced T1-weighted MR Imaging. Radiology. 245(1). 245–250. 46 indexed citations

4.

Goldfarb, James W., et al.. (2005). On the cause of spatial displacement of long T₁ species in segmented inversion recovery prepared imaging. Magnetic Resonance in Medicine. 54(2). 481–485. 4 indexed citations

5.

Chang, Linda, Dardo Tomasi, Renat Yakupov, et al.. (2004). Adaptation of the attention network in human immunodeficiency virus brain injury. Annals of Neurology. 56(2). 259–272. 102 indexed citations

6.

Caparelli, Elisabeth C., Dardo Tomasi, Sheeba Arnold, Linda Chang, & Thomas Ernst. (2003). k-Space based summary motion detection for functional magnetic resonance imaging. NeuroImage. 20(2). 1411–1418. 38 indexed citations

7.

Arnold, Sheeba, Thomas Ernst, Dardo Tomasi, Elisabeth C. Caparelli, & Li‐Jen Chang. (2003). Residual effects of head movement in fMRI. 77–78. 3 indexed citations

8.

Ernst, Thomas, et al.. (2002). Abnormal brain activation on functional MRI in cognitively asymptomatic HIV patients. Neurology. 59(9). 1343–1349. 164 indexed citations

9.

Arnold, Sheeba. (2000). Investigation of the relevance of heart rate variability changes after heart transplantation.

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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