J Schulze

2.0k citations
14 papers · 84 · h-index 5

Impact in

Papers in

J Schulze

10 papers receiving 81 citations

Peers

J Schulze
Comparison fields: 5 of 35
  • Endocrinology, Diabetes and Metabolism 35
  • Physiology 30
  • Epidemiology 38
  • Cardiology and Cardiovascular Medicine 14
  • Pharmacology 9
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Citations per field
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Citations per year

Countries citing papers authored by J Schulze

Since Specialization
Citations

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

Fields of papers citing papers by J Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200642
2
Beneficial effects on serum lipids in noninsulin dependent diabetics by acarbose treatment.
199116
3
The Diabetes Intervention Study (DIS): a cooperative multi-intervention trial with newly manifested type II diabetics: preliminary results.
19857
4 20086
5
Basal and stimulated hyperinsulinemia in obesity: relationship to adipose-cell size.
19795
6 20082
7
[Hospital admission for bronchial asthma: comparison between inpatient children and patients attending ambulatory asthma education].
19992
8
[Method of ileostomy in the laboratory rat].
19812
9 20021
10
[Therapy of hypertriglyceridemia from a pathophysiological viewpoint].
19811
11
New aspects of turnover of endogenous and exogenous triglycerides.
19870
12 20090
13
[Cardiologic findings in newly manifested type II diabetics of the diabetes intervention study].
19860
14 20070

About J Schulze

J Schulze is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Epidemiology, having authored 14 papers that have together received 84 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (3 papers), Pancreatic function and diabetes (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Metabolism and Genetic Disorders (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (35 citations), Physiology (30 citations), Epidemiology (38 citations), Cardiology and Cardiovascular Medicine (14 citations) and Pharmacology (9 citations). J Schulze has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Sven Fischer, Peter E. H. Schwarz, S. Bornstein, Uta Schwanebeck, G. Towers, Francis Vasseur, M Hanefeld, W. Leonhardt, M. Spengler and Ulrich Julius. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Hormone and Metabolic Research, The Professional Animal Scientist, Hämostaseologie and Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).

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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