Julia Schultz

1.5k citations
28 papers · 1.3k · h-index 18

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Julia Schultz

28 papers receiving 1.3k citations

Peers

Julia Schultz
Comparison fields: 5 of 95
  • Neurology 190
  • Cancer Research 308
  • Molecular Biology 956
  • Nutrition and Dietetics 161
  • Biological Psychiatry 13
Replace Ilaria Potolicchio with:
Ilaria Potolicchio Italy
Mashito Sakai Japan
Adnan Kasim Mookhtiar United States
Laura Ordovás Spain
Hirotoshi Tobioka Japan
Chiung‐Yuan Ko Taiwan
Bendi Gong United States
François Binet Canada
Selen Catania Muratoglu United States
Tammy‐Claire Troy Canada
Julia Schultz relative to Ilaria Potolicchio Italy Ilaria Potolicchio's profile →
Citations per field
00.5×2×4×5.4×
Ilaria Potolicchio · 1×
Citations per year

Countries citing papers authored by Julia Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Schultz, 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 Julia Schultz Line = papers co-authored together Julia Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008407
2 2004100
3 201191
4 200383
5 200480
6 200476
7 201648
8 200845
9 200943
10 201341
11 200439
12 200837
13 201036
14 201635
15 201626
16 200625
17 200323
18 200420
19 201317
20 200914

About Julia Schultz

Julia Schultz is a scholar working on Nutrition and Dietetics, Molecular Biology, Neurology, Clinical Biochemistry and Cell Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (10 papers), Trace Elements in Health (8 papers), Mitochondrial Function and Pathology (6 papers), Neurological diseases and metabolism (4 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Neurology (190 citations), Cancer Research (308 citations), Molecular Biology (956 citations), Nutrition and Dietetics (161 citations) and Biological Psychiatry (13 citations). Julia Schultz has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Saleh Mohamed Ibrahim, Manfred Kunz, Gerd Gross, Peter R. Lorenz, Michael Baier, Anja Schwarz, Michael Burwinkel, Constanze Riemer, Simone Baltrusch and G. Erhardt. Their work appears in journals such as Journal of General Virology, Biochemical and Biophysical Research Communications, Diabetologia, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and FEBS Letters.

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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