Dana Serafin

767 total citations
8 papers, 455 citations indexed

About

Dana Serafin is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Dana Serafin has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Psychiatry and Mental health. Recurrent topics in Dana Serafin's work include Multiple Sclerosis Research Studies (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Dana Serafin is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Dana Serafin collaborates with scholars based in United States. Dana Serafin's co-authors include Lauren Krupp, Christopher Christodoulou, Leigh Charvet, Mirjana Maletić‐Savatić, Mark E. Wagshul, Hui Jing Yu, Daniel Greenblatt, Yashma Patel, Vikram Bhise and Joy Parrish and has published in prestigious journals such as NeuroImage, Multiple Sclerosis Journal and The Clinical Neuropsychologist.

In The Last Decade

Dana Serafin

8 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Serafin United States	8	351	126	83	71	50	8	455
Nadine Akbar Canada	12	371 1.1×	82 0.7×	97 1.2×	43 0.6×	44 0.9×	23	457
Jason A. Berard Canada	12	270 0.8×	87 0.7×	85 1.0×	18 0.3×	49 1.0×	24	507
Michelle Fabian United States	14	378 1.1×	75 0.6×	141 1.7×	38 0.5×	23 0.5×	30	535
Vincenzo Dattola Italy	10	302 0.9×	86 0.7×	123 1.5×	118 1.7×	20 0.4×	18	515
Jana Poettgen Germany	11	350 1.0×	111 0.9×	103 1.2×	16 0.2×	59 1.2×	15	421
Sylvia Klineova United States	12	451 1.3×	65 0.5×	147 1.8×	50 0.7×	32 0.6×	25	604
Caila B. Vaughn United States	14	377 1.1×	89 0.7×	112 1.3×	37 0.5×	27 0.5×	34	621
Rebecca Gavett United States	5	628 1.8×	127 1.0×	160 1.9×	49 0.7×	28 0.6×	6	744
L. D. Blumhardt United Kingdom	10	255 0.7×	67 0.5×	187 2.3×	136 1.9×	12 0.2×	22	513
Seden Demirci Türkiye	14	108 0.3×	121 1.0×	115 1.4×	89 1.3×	18 0.4×	39	515

Countries citing papers authored by Dana Serafin

Since Specialization

Citations

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

Fields of papers citing papers by Dana Serafin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Serafin

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yu, Hui Jing, Mark E. Wagshul, Dana Serafin, et al.. (2013). Metabolomic approach to human brain spectroscopy identifies associations between clinical features and the frontal lobe metabolome in multiple sclerosis. NeuroImage. 82. 586–594. 31 indexed citations

2.

Weisbrot, Deborah M., Leigh Charvet, Dana Serafin, et al.. (2013). Psychiatric diagnoses and cognitive impairment in pediatric multiple sclerosis. Multiple Sclerosis Journal. 20(5). 588–593. 40 indexed citations

3.

Charvet, Leigh, Dana Serafin, & Lauren Krupp. (2013). Fatigue in multiple sclerosis. Fatigue Biomedicine Health & Behavior. 2(1). 3–13. 60 indexed citations

4.

MacAllister, William S., Christopher Christodoulou, Maria Milazzo, et al.. (2012). Pediatric Multiple Sclerosis: What we know and where are we headed?. Child Neuropsychology. 19(1). 1–22. 15 indexed citations

5.

Parrish, Joy, E. Ann Yeh, B. Weinstock‐Guttman, et al.. (2012). Regression-Based Norms Improve the Sensitivity of the National MS Society Consensus Neuropsychological Battery for Pediatric Multiple Sclerosis (NBPMS). The Clinical Neuropsychologist. 26(6). 985–1002. 27 indexed citations

6.

Yu, Hui Jing, Christopher Christodoulou, Vikram Bhise, et al.. (2011). Multiple white matter tract abnormalities underlie cognitive impairment in RRMS. NeuroImage. 59(4). 3713–3722. 88 indexed citations

7.

Parrish, Joy, et al.. (2011). Visual-cognitive processing deficits in pediatric multiple sclerosis. Multiple Sclerosis Journal. 17(4). 449–456. 24 indexed citations

8.

Krupp, Lauren, Dana Serafin, & Christopher Christodoulou. (2010). Multiple sclerosis-associated fatigue. Expert Review of Neurotherapeutics. 10(9). 1437–1447. 170 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.

Explore authors with similar magnitude of impact