Jan Schepel

504 total citations · 1 hit paper
6 papers, 307 citations indexed

About

Jan Schepel is a scholar working on Pathology and Forensic Medicine, Rheumatology and Physiology. According to data from OpenAlex, Jan Schepel has authored 6 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 2 papers in Rheumatology and 2 papers in Physiology. Recurrent topics in Jan Schepel's work include Multiple Sclerosis Research Studies (2 papers), Osteomyelitis and Bone Disorders Research (1 paper) and Sarcoidosis and Beryllium Toxicity Research (1 paper). Jan Schepel is often cited by papers focused on Multiple Sclerosis Research Studies (2 papers), Osteomyelitis and Bone Disorders Research (1 paper) and Sarcoidosis and Beryllium Toxicity Research (1 paper). Jan Schepel collaborates with scholars based in New Zealand, Netherlands and Norway. Jan Schepel's co-authors include Vanessa King, Avinesh Pillai, Matthew Phillips, Stacey McCoy, Rune Midgard, Harald Hovdal, Øivind Torkildsen, Bård Bjørnarå, Kristian S. Bjerve and S. J. Bakke and has published in prestigious journals such as Alzheimer s Research & Therapy, The European Journal of Surgery and Multiple Sclerosis Journal - Experimental Translational and Clinical.

In The Last Decade

Jan Schepel

5 papers receiving 302 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease

2021 167 citations Matthew Phillips, Stacey McCoy et al. Alzheimer s Research & Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Schepel New Zealand	4	153	83	67	53	41	6	307
Huiyan Yu China	11	106 0.7×	141 1.7×	20 0.3×	34 0.6×	44 1.1×	25	338
Viridiana Ramírez-Ramírez Mexico	4	51 0.3×	117 1.4×	109 1.6×	29 0.5×	51 1.2×	6	351
Patra Childress United States	4	231 1.5×	101 1.2×	49 0.7×	34 0.6×	14 0.3×	9	387
Milena Vesković Serbia	12	63 0.4×	93 1.1×	42 0.6×	93 1.8×	8 0.2×	24	375
Amy D. Glass United States	7	92 0.6×	93 1.1×	11 0.2×	64 1.2×	10 0.2×	9	383
Shirong Wen China	10	76 0.5×	111 1.3×	54 0.8×	7 0.1×	52 1.3×	21	300
Carlos Eduardo Diaz Jacques Brazil	13	147 1.0×	209 2.5×	25 0.4×	11 0.2×	23 0.6×	21	366
Alexander Duscha Germany	10	77 0.5×	236 2.8×	106 1.6×	9 0.2×	97 2.4×	18	472
Iris Kersten Netherlands	9	78 0.5×	57 0.7×	33 0.5×	36 0.7×	62 1.5×	22	265
Boyang Wei China	12	47 0.3×	219 2.6×	26 0.4×	15 0.3×	78 1.9×	23	403

Countries citing papers authored by Jan Schepel

Since Specialization

Citations

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

Fields of papers citing papers by Jan Schepel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schepel

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

All Works

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6 of 6 papers shown

1.

Frampton, Christopher, et al.. (2022). Extended Interval Dosing Natalizumab and impact on neuropsychological deficits in Relapsing-Remitting Multiple Sclerosis. Multiple Sclerosis Journal - Experimental Translational and Clinical. 8(1). 3080433952–3080433952. 2 indexed citations

2.

Phillips, Matthew, et al.. (2022). Neurological manifestations in rheumatological disease, a case series. 2. 100075–100075.

3.

Phillips, Matthew, et al.. (2021). Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease. Alzheimer s Research & Therapy. 13(1). 51–51. 167 indexed citations breakdown →

4.

Schepel, Jan, et al.. (2015). A rare case of anti-N-methyl-D-aspartate receptor encephalitis during pregnancy.. PubMed. 128(1411). 89–91. 18 indexed citations

5.

Torkildsen, Øivind, Stig Wergeland, S. J. Bakke, et al.. (2012). ω-3 Fatty Acid Treatment in Multiple Sclerosis (OFAMS Study). Archives of Neurology. 69(8). 1044–51. 110 indexed citations

6.

Schepel, Jan, J. Wille, Cornelis A. Seldenrijk, & Bert van Ramshorst. (2002). Elastofibroma: a familial occurrence. The European Journal of Surgery. 164(7). 557–558. 10 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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