G. Schulz

413 citations
13 papers · 298 · h-index 10

Impact in

Papers in

G. Schulz

13 papers receiving 254 citations

Peers

G. Schulz
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 46
  • Immunology 88
  • Cognitive Neuroscience 64
  • Cardiology and Cardiovascular Medicine 59
  • Cellular and Molecular Neuroscience 30
Replace Mats Karlsson with:
Mats Karlsson Sweden
Travis McQuiston United States
Evilin Naname Komegae Brazil
Huiyu Gong United States
H. Rosenberg United States
Conceição R.S. Machado Brazil
Yuki Satoh Japan
Junko Mori Japan
Marzena J. Fabis United States
Mitsuo MORITA Japan
G. Schulz relative to Mats Karlsson Sweden Mats Karlsson's profile →
Citations per field
00.5×3.3×
Mats Karlsson · 1×
Citations per year

Countries citing papers authored by G. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by G. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside G. Schulz, 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 G. Schulz Line = papers co-authored together G. Schulz links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 198353
2 197151
3 197147
4 197447
5 198323
6 198523
7 197114
8
Changes in thymocyte reactivity to lectins induced by B-cell mitogens of the type of sulphated polyanions.
197611
9 199510
10 19859
11 19865
12 19874
13 19961

About G. Schulz

G. Schulz is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 13 papers that have together received 298 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (3 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience of respiration and sleep (3 papers), Protein purification and stability (2 papers), Neural dynamics and brain function (2 papers), Neuroendocrine regulation and behavior (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (46 citations), Immunology (88 citations), Cognitive Neuroscience (64 citations), Cardiology and Cardiovascular Medicine (59 citations) and Cellular and Molecular Neuroscience (30 citations). G. Schulz has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Tibor Diamantstein, P. Langhorst, M. Lambertz, Barbara Wagner, Bárbara Schulz, T Diamantstein, G. Stock, Mark M. Knuepfer and Gregory N. Stock. Their work appears in journals such as European Journal of Immunology, Journal of Cardiovascular Pharmacology, Nature, PubMed and Journal of the Autonomic Nervous System.

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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