Martina Schulz

761 citations
11 papers · 533 · h-index 11

Impact in

    • Cell Adhesion Molecules Research
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies

Papers in

Martina Schulz

11 papers receiving 524 citations

Peers

Martina Schulz
Comparison fields: 5 of 64
  • Immunology and Allergy 120
  • Neurology 145
  • Endocrine and Autonomic Systems 64
  • Immunology 161
  • Developmental Neuroscience 21
Replace Cindy Wong with:
Cindy Wong Switzerland
Shoana L. Sikorski United States
Akihisa Matsubara Japan
Rongwen Yuan United States
Yanming F. Wang United States
Sylvia Großklaus Germany
Jana Lipfert Germany
Takao Miki Japan
Qifen Yang China
Fumihiro Kawakita Japan
Martina Schulz relative to Cindy Wong Switzerland Cindy Wong's profile →
Citations per field
00.5×1.5×2.3×
Cindy Wong · 1×
Citations per year

Countries citing papers authored by Martina Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Martina Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1997140
2 199975
3 200570
4 200566
5 200451
6 200043
7 200924
8 199720
9 200919
10 199813
11 200412

About Martina Schulz

Martina Schulz is a scholar working on Oncology, Cellular and Molecular Neuroscience, Epidemiology, Immunology and Immunology and Allergy, having authored 11 papers that have together received 533 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Neuropeptides and Animal Physiology (3 papers), Cell Adhesion Molecules Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Obstructive Sleep Apnea Research (2 papers) and Macrophage Migration Inhibitory Factor (1 paper). The work is most often cited by research in Immunology and Allergy (120 citations), Neurology (145 citations), Endocrine and Autonomic Systems (64 citations), Immunology (161 citations) and Developmental Neuroscience (21 citations). Martina Schulz has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Britta Engelhardt, Rupert Hallmann, Dietmar Vestweber, Hartwig Wolburg, Holger Gerhardt, Andreas de Weerth, Michael Pfeifer, Michael Arzt, Friedrich C. Blumberg and Roland Wensel. Their work appears in journals such as Blood, Regulatory Peptides, Journal of Sleep Research, Naunyn-Schmiedeberg s Archives of Pharmacology and Journal of Hepatology.

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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