Michael Schulz

525 citations
11 papers · 369 · h-index 6

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Michael Schulz

10 papers receiving 368 citations

Peers

Michael Schulz
Comparison fields: 5 of 44
  • Genetics 71
  • Neurology 49
  • Oncology 156
  • Immunology 118
  • Pulmonary and Respiratory Medicine 151
Replace Katja Niesel with:
Katja Niesel Germany
Anna Salamero‐Boix Germany
Tereza Andreou United Kingdom
Neibla Priego Spain
Han‐Ning Chuang Germany
Veronica De Gregorio Italy
Jason Shieh United States
Cynthia Kassab United States
Luyan Mu China
Wiaam Badn Sweden
Michael Schulz relative to Katja Niesel Germany Katja Niesel's profile →
Citations per field
00.5×1.5×
Katja Niesel · 1×
Citations per year

Countries citing papers authored by Michael Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019172
2 202185
3 202043
4 202138
5 202116
6 201911
7 20241
8 20211
9 20251
10
[Beta receptor blockers. Principles for drug selection for rational therapy].
19891
11 20250

About Michael Schulz

Michael Schulz is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Immunology, Genetics and Oncology, having authored 11 papers that have together received 369 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Glioma Diagnosis and Treatment (4 papers), Immune cells in cancer (4 papers), Lung Cancer Research Studies (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Lanthanide and Transition Metal Complexes (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Genetics (71 citations), Neurology (49 citations), Oncology (156 citations), Immunology (118 citations) and Pulmonary and Respiratory Medicine (151 citations). Michael Schulz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Lisa Sevenich, Katja Niesel, Tijna Alekseeva, Anna Salamero‐Boix, Franz Rödel, Stefan Stein, Karl H. Plate, Henner F. Farin, Birgitta E. Michels and Florian Klemm. Their work appears in journals such as Frontiers in Immunology, Signal Transduction and Targeted Therapy, Frontiers in Oncology, Nature Cancer and iScience.

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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