Michael Schramm

1.9k citations
31 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers)Autophagy in Disease and Therapy (3 papers)Advanced MEMS and NEMS Technologies (3 papers)
Partner nations
GermanyNetherlandsSweden

In The Last Decade

Michael Schramm

29 papers receiving 1.4k citations

Hit Papers

Functions of ROS in Macrophages and Antimicrobial Immunity20212026202220242021100200300400

Peers

Michael Schramm
Comparison fields: 5 of 133
  • Molecular Biology 625
  • Immunology 432
  • Epidemiology 241
  • Physiology 151
  • Biomedical Engineering 113
Replace Shu‐Mei Liang with:
Shu‐Mei Liang Taiwan
Rohit Mittal United States
Xian-De Liu United States
Johannes P.C. Vissers United Kingdom
David Rodríguez Spain
Pamela S. Shirley United States
Jason G. Kay United States
Oliver Nüße France
Zee‐Won Lee South Korea
Anne‐Laure Pauleau Germany
Michael Schramm relative to Shu‐Mei Liang Taiwan Shu‐Mei Liang's profile →
Citations per field
00.5×3.6×
Shu‐Mei Liang · 1×
Citations per year

Countries citing papers authored by Michael Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schramm

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schramm. A scholar is included among the top collaborators of Michael Schramm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Schramm. Michael Schramm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 59
2 4
3 59
4 10
5 70
6 44
7 88
8 87
9 1
10 60
11 2
12 82
13 164
14 2
15 87
16 58
17
Göttliches und menschliches Denken bei Themistios
1
18 10
19 3
20 12

About Michael Schramm

Michael Schramm is a scholar working on Bioengineering, Immunology and Endocrinology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Autophagy in Disease and Therapy (3 papers) and Advanced MEMS and NEMS Technologies (3 papers). The work is most often cited by research in Immunology (432 citations), Physiology (68 citations) and Endocrinology (60 citations). Michael Schramm has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Marc Herb, Martin Krönke, Olaf Utermöhlen, Alexander Gluschko, Katja Wiegmann, Jasmin Herz, Oleg Krut, Anne Wolf, Hamid Kashkar and Thomas Langmann. Their work appears in journals such as Nature, Nature Communications and Nature Immunology.

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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