Jan Schepel

504 citations
6 papers · 307 · 1 hit paper · h-index 4

Impact in

    • Tryptophan and brain disorders
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Alzheimer's disease research and treatments

Papers in

Jan Schepel

5 papers receiving 302 citations

Hit Papers

Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease 2021 · 167 citations
1670+1+3Years since publication50100150

Peers

Jan Schepel
Comparison fields: 5 of 60
  • Biological Psychiatry 28
  • Physiology 153
  • Pathology and Forensic Medicine 67
  • Endocrinology, Diabetes and Metabolism 53
  • Neurology 41
Replace Huiyan Yu with:
Huiyan Yu China
Viridiana Ramírez-Ramírez Mexico
Caio Yogi Yonamine Brazil
Patra Childress United States
Amy D. Glass United States
Uthra Rajamani United States
Norimichi Shirafuji Japan
Milena Vesković Serbia
Boyang Wei China
Julen Goikolea Sweden
Jan Schepel relative to Huiyan Yu China Huiyan Yu's profile →
Citations per field
00.5×11×
Huiyan Yu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jan Schepel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Schepel Line = papers co-authored together Jan Schepel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease
Hit paper breakdown →
2021167
2 2012110
3
A rare case of anti-N-methyl-D-aspartate receptor encephalitis during pregnancy.
201518
4 200210
5 20222
6 20220

About Jan Schepel

Jan Schepel is a scholar working on Pathology and Forensic Medicine, Rheumatology, Physiology, Neurology and Ophthalmology, having authored 6 papers that have together received 307 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (2 papers), Metabolism and Genetic Disorders (1 paper), Soft tissue tumor case studies (1 paper), Urologic and reproductive health conditions (1 paper), Nutritional Studies and Diet (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Polyomavirus and related diseases (1 paper) and Oral and Maxillofacial Pathology (1 paper). The work is most often cited by research in Biological Psychiatry (28 citations), Physiology (153 citations), Pathology and Forensic Medicine (67 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Neurology (41 citations). Jan Schepel has collaborated with scholars based in New Zealand, Netherlands and Norway. Frequent co-authors include Matthew Phillips, Stacey McCoy, Vanessa King, Avinesh Pillai, Stig Wergeland, Tom Pedersen, Bård Bjørnarå, Inge Christoffer Olsen, Kjell‐Morten Myhr and Kristian S. Bjerve. Their work appears in journals such as The European Journal of Surgery, Alzheimer s Research & Therapy, Multiple Sclerosis Journal - Experimental Translational and Clinical, PubMed and Archives of Neurology.

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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